JP2003168166A - Computer system and method for managing point and customer, program for the method and storage medium storing the program - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To collect information on visitors to a store and the number of visitors to the store which cannot be grasped by a conventional point system based on POS information and to perform analysis based on the information. <P>SOLUTION: A card readers is installed at a main place in the store. This computer system is provided with a means for selecting and generating information on a plurality of kinds of consuming behaviors which exist corresponding to a fixed condition when the reader reads the card of a member, a means for calculating service points and giving them to the member corresponding to a fixed condition and a means for carrying forward without giving the calculated service points. <P>COPYRIGHT: (C)2003,JPO

Description

Detailed Description of the Invention

[0001]

[Industrial application] Computer system for point management and customer management, point management and customer management method,
The present invention relates to a point management and customer management method program and a storage medium storing the point management and customer management method program.

[0002]

[Prior art] At stores that have introduced a point system,
The method for the store to acquire the purchase information of the registered member is a method for the member to acquire the product or service and settle the price.

That is, a card or the like in which identification information for uniquely identifying a registered member is stored is issued to the registered member, and the card or the like is presented when the registered member purchases a product or service. When, who, what Get information on whether you have purchased. (Generally, the POS system, which is introduced prior to the point system, is responsible for collecting information about purchased products, etc.) Of course, it is possible to refer to the detailed information about the member obtained at the time of registration from the identification number. It is possible.

Now, the point system may be classified into two according to the difference in the storage location of the point information (current point number). That is, 1. 1. A method in which a member hand-held storage medium (point card, etc.) holds it. There are two methods of holding the system on the side of the point system implementer. Note that, in the present invention, the above classification is not particularly conscious and both are within the scope of the invention.

[0005]

The above method has the following problems. 1. Information cannot be collected if the product or service is not purchased 2. As a result, the "number of visitors" is replaced by the "number of purchasers" and the distinction between "number of visitors" and "number of purchasers" is ambiguous. 3. Not being able to obtain important information such as sales machine loss. For example, it is impossible to know the residence time in the store.

[0006] Actually, the "number of visitors" in the distribution business is the "number of purchasers" who have passed through the cash register, etc., and the PI value is also 100.
It is an index calculated from the "number of purchasers" per 0 person. Although the discussion of whether these are appropriate is avoided, the present invention solves the above problems.

[0007]

The system, method, program, and storage medium for solving the above problems are as follows.

[0008] Storage means for storing information about the member including identification information for identifying the registered member in a storage device and a storage medium for handing the registered member, and information related to products or services purchased by the registered member and the storage medium. Information acquisition means for acquiring the information obtained, point calculation means for calculating the current service point based on a predetermined condition and adding the calculated current service point and the previous service point, and the calculated point A point giving means for giving the registered member, an information generating means for generating information on the consumption behavior of the member from the acquired information or the calculated information, and a generated information storing means for storing the generated information in the storage device. In the computer system for point management and customer management, the device for reading the storage medium is When the storage medium is read by installing it at a plurality of locations in a target store, a target commercial facility, or a target section that implements management and customer management, the installation location of the device that has read the storage medium of the member, the member One of the date and time when the storage medium was read, the reading order of the storage medium of the member by a plurality of the devices, and the quantity or type of information regarding the consumption behavior of the member stored in the storage device at the time of reading. Information generation determination means for determining whether or not to generate information regarding consumption behavior related to the member according to the above conditions, and information generated from information regarding a plurality of types of consumption behavior according to one or more conditions. Generated information selection means for selecting a type, and a store visit point for calculating service points given to the member according to one or more conditions as store visit points Calculating means, point giving judgment means for judging whether or not to execute the point giving means according to one or more of the conditions, the store coming point is calculated, and the store coming point is calculated when not giving the coming point A computer system for point management and customer management, characterized in that it is provided with a point carry-over means for carrying over the store-visit points as unassigned points.

The information on the plurality of types of consumption behavior is information on the consumption behavior of the member when the member enters the target, and the consumption behavior of the member when the member exits from the target. information,
And a computer system for point management and customer management according to the above, which is information on consumption behavior of the member at a certain place in the target.

Further, in the computer system described above, further, based on the information on a plurality of kinds of consumption behaviors of the member stored in the storage device, the staying time, the required purchase time, and the section movement of the member. Time calculating means for calculating one or more times out of the time, and when a specific device among the plurality of reading devices installed reads the storage medium, the member who owns the storage medium is regarded as a visitor, and A customer guide line information calculation for calculating the customer guide line information of the member based on the visitor discrimination means for discriminating the visitor from the purchaser who is a member who purchased the product or service and the information regarding the plurality of types of consumption behaviors. Means and a customer purchase analysis means for analyzing the visitor as additional means, a point management and customer management computer system

And a step of storing information about the member, including identification information for identifying the registered member, in a storage device and a storage medium for handing the registered member, and the computer relating to goods or services purchased by the registered member. Obtaining information and information stored in the storage medium, and calculating a current service point based on a predetermined condition and adding the calculated current service point and the previous service point A step in which the computer gives the calculated points to the registered member; a step in which the computer generates information about the consumption behavior of the member from the acquired information or the calculated information; and a computer in which the generated information is stored. Store points on the device, and point management and customer In the processing method, when a device for reading the storage medium is installed in a plurality of locations in the target store, the target commercial facility, or the target section where the point management and the customer management are performed, and the storage medium is read, the computer, The installation location of the device that has read the storage medium of the member, the date and time when the storage medium of the member has been read, the reading order of the storage medium of the member by a plurality of the devices, the storage that the storage device stores at the time of reading A step of determining whether to generate information on the consumption behavior regarding the member according to one or more conditions among the quantity or type of information regarding the consumption behavior of the member, and the computer according to the one or more conditions. A step of selecting the type of information to be generated from the plurality of types of information regarding consumption behavior, and the computer A step of calculating service points to be given to the member as a store visit point according to the case; a step of determining whether the computer executes the point giving means according to one or more of the conditions; A point management and customer management method, which further comprises a step of calculating the store-visit points and carrying over the calculated store-store points as unassigned points when the store-store points are not given.

The information on the plurality of types of consumption behavior is information on the consumption behavior of the member when the member enters the target, and the consumption behavior of the member when the member leaves the target. information,
And the point management and customer management method described above, which is information on the consumption behavior of the member at a certain place in the target.

Further, in the above-mentioned method, the computer further includes a staying time for the member, a purchase required time, based on information about a plurality of kinds of consumption behaviors of the member stored in the storage device. A step of calculating one or more times of the section movement time, and when the computer reads the storage medium by a specific device among the plurality of reading devices installed, the member who owns the storage medium is a visitor. A step of discriminating between the visitor and a purchaser who is regarded as a member who purchased the product or service; and a step of calculating the customer lead information of the member based on the information on the plurality of kinds of consumption behaviors And a step of analyzing the visitor, are added. A point management and customer management method,

Storage means for causing the computer to store information about the member, including identification information for identifying the registered member, in a storage device and a storage medium for handing the registered member, information on products purchased by the registered member, and services. An acquisition means for acquiring the information stored in the storage medium, and an award point calculation means for calculating a current service point based on a predetermined condition and adding the calculated current service point and the previous service point. , Point giving means for giving the calculated points to a registered member, information generating means for generating information on the consumption behavior of the member from the acquired information or the calculated information, and storing the generated information in the storage device for management. Device for reading the storage medium in a program for causing it to function as management means When the storage medium is read and installed in a plurality of locations in the target store, the target commercial facility, or the target section where the point management and the customer management are performed, a computer is installed with an apparatus that reads the storage medium of the member. Location, date and time when the storage medium of the member was read,
Regarding the member according to one or more conditions of the reading order of the storage medium of the member by a plurality of the devices, the number or type of information regarding the consumption behavior of the member stored in the storage device at the time of reading, Information generation determining means for determining whether to generate information about consumption behavior, and generation information selection means for selecting a type of information to be generated from among multiple types of information regarding consumption behavior according to one or more conditions , A visit point calculating means for calculating service points to be given to the member as a visit point according to one or more of the conditions, and determining whether to execute the point giving means according to one or more of the conditions The point-giving judgment means and the calculated store-point points are calculated when the store-store points are calculated and the store-store points are not given. Program for causing to function points carryover means for carried over as given point, as additional means

The information on the plurality of types of consumption behavior is information on the consumption behavior of the member when the member enters the target, and the consumption behavior of the member when the member exits from the target. information,
And the above-mentioned program, which is information regarding the consumption behavior of the member at a certain place in the target.

Further, in the above-mentioned program, further, based on the information on a plurality of kinds of consumption behaviors of the member stored in the storage device, the staying time, the purchase required time, the section moving time regarding the member A time calculating means for calculating one or more times, and when a specific device among the plurality of reading devices installed reads the storage medium, the member who owns the storage medium is regarded as a visitor, and the product Also, a visitor determination means for determining the purchaser who is a member who purchased the service and the visitor, and a customer lead information calculation means for calculating customer lead information of the member based on the information on the plurality of types of consumption behaviors. And a customer purchase analysis means for analyzing the visitor, which functions as additional means.

Also, a computer-readable storage medium recording the above-mentioned program.

【Example】

1. Explanation of business type and business type that are models of the embodiment

The present invention is supposed to be applied to retail stores such as retail stores, shopping streets, shopping centers, service industries, and restaurant industries. Of these, the retail industry (the type of business is a supermarket), which is the easiest to explain and understand, was used as the model of the embodiment. In addition, it is assumed that the supermarket has more than 10 stores in the area.

2. Description of drawings referred to in the embodiments

FIG. 1 is a floor layout of a store having the supermarket. The same applies to the layout of other stores. The lower right of the drawing is the entrance and the lower left is the exit. Therefore, basically consumers move counterclockwise in the store. Note that this layout is a configuration diagram in this embodiment and is merely an example of the present invention.

FIG. 2 is a system configuration diagram of this embodiment. 6 is a diagram for explaining a configuration of a computer system according to claim 1 to claim 3 (hereinafter, this system). The present configuration is a configuration diagram of the present embodiment and is merely an example of the present system.

The upper part of the figure shows the system configuration on the store side, and the lower part of the figure shows the system configuration on the headquarters side (for convenience, FIG. 2 is shown with one store). On the LAN on the store side, a store server, a device (hereinafter, a reading device) for reading a storage medium for handing registered members (hereinafter, a point card), a POS terminal, and the like are connected, and on the LAN on the headquarters side, , Headquarters server, terminal, etc. are connected. The LAN on the store side and the LAN on the headquarters side are connected via a communication line (WAN).

The store server and the headquarters server have a database management function and a communication function, and a database managed by the store server is a store database (hereinafter referred to as a store database).
A store DB) and a database managed by the headquarters server are referred to as a headquarters database (hereinafter, headquarters DB).

Does this system refer to FIG. 2 as a whole?
Or, it will be explained as to whether only the above two servers are referred to. From the conclusion, it means only the above two servers. That is, the reading device on the LAN, the POS terminal, the terminal, and the like are all devices necessary for realizing the means included in the store server or the headquarters server, and the main body that executes the means is the store server or the headquarters server. (For example, the reading means of the point card is interpreted not by the reading terminal but by the store server by the reading device.)

Before describing FIGS. 3 to 15, the “process” will be described. In this embodiment, the process is a collection of means included in the system. That is, a process consists of one or more means.

The processes carried out by the store server of this embodiment are the "visit store process" (Figs. 4 and 10), "in-store process" (Figs. 5 and 11), and "purchase process" (Figs. 6 and 10). 12) and “Exit Process” (FIGS. 7 and 1)
There are four types of 3). On the other hand, the process executed by the headquarter server is the “aggregation process” (FIGS. 9 and 15).
Further, there is a “daily batch process” (FIGS. 8 and 14) executed by the store server and the headquarters server.

FIGS. 3 to 9 are flowcharts showing each of the above processes. It is drawing for demonstrating the transition of each means with which this system is equipped. Note that this flowchart is a flowchart in the present embodiment and is merely an example of the system.

FIG. 3 is a flow chart showing the whole process (that is, the whole means) of this embodiment. Except for the lower right part of the drawing, the "visit shop process" (Fig. 4), "in-store process" (Fig. 5), "purchase process" (Fig. 6) and "exit process" (Fig. 7) are unified. It is the summarized flowchart. On the other hand, the lower right part is a flow chart showing the "aggregation process" (FIG. 9) of the headquarters server.

FIGS. 10 to 15 are data flow diagrams (DFD) showing the above-mentioned processes. It is a figure for explaining the flow of data in each means with which this system is provided. Note that this DFD is the DF in this embodiment.
D is just an example of this system.

FIG. 16 shows information regarding consumption behavior (an example).
FIG. The “visit store information”, “in-store information”, and “exit information” are information generated by the store server. “Unpaid store visit point information” and “member behavior history information” are information generated by the headquarters server. In addition, 5
One piece of information is stored in the store DB.

The "sub means" will be described here. In this embodiment, the sub means is a constituent element of means included in the present system. That is, the means is composed of one or more sub-means.

17 to 46 are views showing each means provided in the present system. It is a drawing for explaining each of the means. The above description is decomposed into the sub-means as necessary.

3. Explanation of environment etc. of the embodiment

Eight of the above-mentioned picking devices are installed in the store. Figure 1
Device A, device B1, device B2, device B3, device B4, device C, device D1 and measure D2. Each reader holds a "device-specific value". The store server identifies the reading device that has read the point card from the device-specific value.

The device eigenvalue of device A is A1, similarly device B1 is B1, device B2 is B2, device B3 is B3, device B4 is B4, device C is C1, device D1 is D1, measure D2.
Holds D2 in hexadecimal.

The point card holds "identification information" for identifying members and "current number of points". Further, it is assumed that the information about the member (member attribute, etc.) obtained at the time of member registration is stored in the headquarters DB.

4. Outline of individual means

First, each means provided in the present system will be briefly described along the flow of FIG. The right side of the figure shows the purchasing behavior of the registered member, and the left side shows the means of this system. Also, the solid line schematically shows the time transition, and the broken line schematically shows the interface between the registered member and the store.

Hereinafter, each unit (S01 to S10) except the lower right part of the drawing is a unit implemented by the store server.

Information acquisition means (S01): The shop server is means for collecting information about the members from registered members. When an arbitrary reading device reads the point card, the store server acquires the read information and the like via the LAN.

Information generation judging means (S02): means for the store server to judge generation of "information regarding consumption behavior" regarding the member. It is a means for identifying the registered member and the reading device from the information acquired by the information acquisition means (S01) and determining whether or not to generate "information regarding consumption behavior" regarding the registered member according to a certain condition.

Generated information selecting means (S03): means for selecting "information regarding consumption behavior" generated from a plurality of types of "information regarding consumption behavior" by the store server according to certain conditions. Multiple "information about consumption behavior"
These are “information when coming to the store”, “information inside the store”, and “information when leaving”.

Information generating means (S04): The "information regarding the consumption behavior" selected by the generated information selecting means (S03),
This is a means generated by the store server. Specifically, store DB
It is a means for generating a new record of the above applicable table.

Generated information storage means (S05): The "information regarding consumption behavior" generated by the information generation means (S04)
The store server is a means for storing in a storage device. Specifically, it is means for storing the generated record.

Point calculating means (S06): means for calculating purchase points given to the registered member by the store server. Information about the purchase amount is obtained from the POS information and the like, and the purchase points are calculated according to the information.

Here, the main points will be summarized.
“Purchasing points” are general points. In other words, it is a privilege according to the “purchase” of the conventional product or service. The “visit point” is a privilege according to the “visit”. The “unassigned points” are “visit points” that are given after the next visit.

Store-visit point calculation means (S07): means for calculating store-store points given to the registered member by the store server according to certain conditions. Further, the same means calculates “unassigned points”.

Point giving judging means (S08): point calculating means (S06) and visiting point calculating means (S0)
It is a means by which the store server determines whether or not to grant the number of points calculated in 7) to the registered member according to a certain condition.

Point giving means (S09): The number of points calculated by the point calculating means (S06) and the coming point calculating means (S07) by the store server based on the judgment result of the point giving judging means (S08) is registered. It is a means to give to members.

Point transfer means (S10): When the "visit point" calculated by the store point calculation means (S07) is not given to the registered member, the store server gives the "visit point" as the "unassigned point". Is a means to carry over. The “unassigned points” are subject to the store visit point calculation means (S07) at the next store visit (after the next day).

Hereinafter, each means (S11 to S1) at the lower right of the drawing will be described.
4) is means implemented by the headquarters server.

Time calculation means (S11): Based on the "information on consumption behavior" stored in the generated information storage means (S05), the headquarters server determines "residence time" and "purchasing required time".
And a means for calculating one or more times of the "section travel time".

Store visitor discriminating means (S12): a means for the headquarter server to discriminate between a "purchaser" and a "visitor" based on the "information regarding the consumption behavior" stored in the generated information storing means (S05). Is.

Customer lead information calculating means (S13): A means for the headquarter server to calculate "customer lead information" based on the "information regarding consumption behavior" stored in the generated information storing means (S05).

Customer purchasing analysis means (S14): means for the head office server to analyze the "visitor" based on the "information regarding consumption behavior" stored in the generated information storage means (S05).

The "information regarding consumption behavior"("information upon visit to the store", "information within the store" and "information upon exit") generated by the generated information storage means (S05) is stored in the headquarters server using the communication line. Sent. The transmission procedure (daily batch process (FIG. 8)) will be described later.

The above is a brief description of each means provided in the present system. The following is a supplement.

Information generation determination means (S02), generation information selection means (S03), store visit point calculation means (S07),
A supplementary explanation will be given regarding the fixed condition in the point award determination means (S08). The certain conditions are “conditions regarding the installation location of the device that reads the point card”, “conditions regarding the date and time when the point card is read”, “conditions regarding the reading order of the member's point card by a plurality of the devices”, “ One of or a combination of the “conditions regarding the quantity or type of the information regarding the consumption behavior of the member stored in the store DB at the time of reading”.

The method by which the store server and the headquarters server specify the installation location and the reading date and time of the device that has read the point card is as follows.

Each reader manages time locally. Also, “reading device master” (data items are store code, device unique value, device name,
Installation location) is retained.

First, when the reading device reads the point card information, the reading device generates "point card information" and "reading device information". The store server temporarily stores the information generated by the information acquisition unit (S01) (FIG. 17), and stores the information temporarily stored by the generated information storage unit (S05) as a data item of “information regarding consumption behavior” in the store DB. Store it above (FIG. 24). Furthermore,
The store server and the headquarters server also store the “information regarding consumption behavior” in the headquarters DB by the “daily batch process”.

Therefore, the store server and the head office server have the “information regarding the consumption behavior” and the “reading device master”.
From, it is possible to specify the installation location of the device that has read the point card information and the read date and time.

The method by which the store server specifies the reading order of the member's point card by the plurality of devices is as follows. The reading order of the device is known from a plurality of “information regarding consumption behavior” stored in the store DB. That is, the store server stores the “device classification information” and date / time information (“visit date”, “store information”, “in-store information” and “exit information” regarding the member stored in the store DB. The order is specified by referring to "the time of arrival". The same applies to the headquarters server.

The method by which the shop server specifies the quantity or type of the information regarding the consumption behavior of the member stored in the shop DB at the time of reading is as follows. The quantity of information on the member on the store DB can be obtained as the number of records extracted by extracting “information on consumption behavior” on the store DB with the member number of the member. Also, store DB
The type of information regarding the above member can be specified by classifying the extracted "information regarding consumption behavior" by a data item ("information category").

5. Detailed explanation of each means individually according to the flow

Hereinafter, each means provided in this system will be described in detail in time series. The description of the information acquisition means (S01) to the point carry-over means (S10) will be described as the operation of the store server from when a member comes to the store until the member leaves. On the other hand, the description of the time calculation means (S11) to the customer purchase analysis means (S14) is given in "Daily Batch Process".
The operation of the headquarters server after (FIGS. 8 and 14) will be described.

First, the means performed by the store server when the registered member comes to the store and reads the point card into the reading device A (FIG. 1) will be described. In this case, the process performed by the store server is the “visit store process”. FIG. 10 is a DFD related to the “visit process”. S01 in FIG.
Is information acquisition means, S02 is information generation determination means, S03 is generated information selection means, S04 is information generation means, and S05 is generated information storage means (that is, the "visiting process" is from S01 to S05 above). It is configured).
Hereinafter, description will be made with reference to FIG. 10 and the drawings (FIGS. 17 to 25) in which detailed information regarding each unit is described.

Information acquisition means (S01) ... The store server
The “reading information” is obtained from the reading device A and temporarily stored. The primary storage is the writing of "read information" to the "read information primary storage table" on the store DB. The data items of the "reading information primary storage table" are the member number, current point information, device fixed value, reading date, reading time, generation determination information, generation information type, and serial number information. “Reading information” is point card information and reading device information.
The point card information is identification information and current point information. The reading device information is a device fixed value, a reading date, and a reading time. (Figure 17)

Information generation judging means (S02): The store server judges whether or not to generate "information regarding consumption behavior" by referring to the "read information primary storage table" or the like. Then, the determination result is stored as generation determination information. The generation determination information is a data item on the "reading information primary storage table".

The above determination is made based on "conditions regarding the reading order of the point card of the member by the plurality of devices". If the reading order is correct, "information regarding consumption behavior" is generated, and if incorrect, it is not generated.

The store server estimates the reading order by referring to the "reading information primary storage table" and the "information regarding consumption behavior (today)" on the store DB, and determines whether the reading order is correct or incorrect.

The "reading order is correct" means "a reading order according to a normal customer lead wire", while the "reading order is wrong" means a "reading order not according to a normal customer lead wire" or This is "in the case of unnecessary rereading".

However, the specific conditions for determining the correctness of the reading order are different for each process. Therefore, here, the description will be limited to the “visit process”. Other processes will be described as needed.

In the "visit store process", the condition for determining that "the reading order is correct" is "the visit this time" (see below), and the point card has not been read by the reading device (arbitrary). That is not the case.

On the other hand, in the "process at the time of coming to the store", the condition for judging that "the reading order is incorrect" is that "the coming to the store" is
The point card has already been read by the reading device (optional). Example 1: “reading device D1 → reading device A”, Example 2: “reading device A → reading device A”, and the like.
Example 1 is in the wrong order because it does not follow the normal customer lead line from the store to the entrance. Example 2 is unnecessary re-reading at the entrance due to a member's intention or negligence. (Fig. 1)

The presence / absence of reading by the reading devices B1 to B4 is confirmed by the presence / absence of "sales information". The sales information is
This is information that is written as a data item (sales time, receipt number, etc.) of "information when coming to the store" in the "purchase process" (when read by the reading devices B1 to B4).

The reading order estimation method is as follows. The store server refers to the "reading information primary storage table" to obtain the member number of the member. Then, the “information regarding consumption behavior (today)” is searched for records relating to the member (“information when visiting the store”, “information in the store” and “information when leaving”).

If the record does not exist, the store server estimates that the member has read the point card into the reading device for the first time today, and determines that the reading order is correct.

When one or more records related to the member are extracted, the newest record is selected from the extracted records. Then, the difference (time) between the date and time of the selected record and the current date and time is calculated. Further, the time is compared with the time defined by the "reference time master", and the reading order is estimated as follows.

Regarding the method of selecting the latest record, regarding the extracted information, the visit date, the visit time and the selling time in the visit information, the input date and the input time in the in-store information, the exit date and the exit in the exit information are set. The time is compared with each other. (Figure 16)

When the time is less than the time defined by the "reference time master", it is estimated that the selected record is the record generated in "this time visit". Therefore, it is presumed that the member has already read the point card by the reading device (arbitrary) at the “current visit”, and determines that the reading order is incorrect.

When the time is longer than the time defined by the "reference time master", it is estimated that the selected record and all the extracted records are not the records generated in "this time visit". Therefore, the member presumes that the point card is read by the reading device for the first time in the "current visit", and determines that the reading order is correct. In other words, the member has read the point card on the reading device (arbitrary), but since it is not the "current visit", there is no need to consider it.

The store server determines whether the reading order is correct or not as described above, and determines whether or not the "information regarding the consumption behavior" can be generated according to the determination (when the reading order is correct, the information is generated).

Specifically, the store server stores the determination result of generation possibility in the data item (generation determination information) on the "read information primary storage table". That is, when it is determined to generate the information, “generate = 1” is written in the generation determination information (initial value = 0). (Figure 18)

A supplementary explanation will be given regarding the above-mentioned “reference time master” and “this time visit”.

The above-mentioned "reference time master" is one piece of master information that the store server centrally manages on the store DB.
The "reference time master" is used when the store server obtains the "reference time information" in the information generation determining means (S02) or the like. For example, when the “reference time master” has a simple structure (1 row and 7 columns) that represents the relationship between “day of the week” and “time”, the store server refers to the “reference time master” and refers to the time corresponding to the current day. Is obtained as "reference time information".

The "current visit" is the current visit. That is, assuming a case where a member visits a store more than once a day, the past visits of today are specifically excluded and only the present visit is distinguished. For example, when the member who has visited the store at 11:00 am and 3:00 pm is visiting the store for the third time (at 5:00 pm), the "current visit" refers to the visit at 5 pm. Then, the store server determines whether or not it is the "current visit" using the "reference time master".

Generation information selecting means (S03): The store server refers to the "reading information primary storage table" and selects "information regarding consumption behavior" to be generated. Then, the selection result is stored as the generated information type. The generated information type is a data item on the “read information primary storage table”.

However, when the information generation judgment means (S02) judges that "information regarding consumption behavior" is "not generated" (generation judgment information = 0), each means after this means is not executed and this process is executed. finish. (Figure 4)

The above selection is made based on the "condition regarding the installation location of the device that has read the point card" by referring to the "read information primary storage table" on the store DB. If the installation location is an entrance, select “information when coming to the store”, if it is inside the store, select “information in the store”, and if it is an exit, select “information when leaving”.

The store server refers to the data item (device fixed value) of the "reading information primary storage table" to specify the installation location. At the same time, the store server identifies this process by identifying the installation location. In other words, if the installation location is the entrance (reading device A), the "process when coming to the store",
If the installation location is in the store (reading devices D1 and D2), "in-store process"; if the installation location is a cash register (reading devices B1 to B4), "purchase process";
When the installation location is the exit (reading device C), the "exit process" is performed.

Next, the store server stores the selection result in the data item (generation information type) on the "reading information primary storage table". Specifically, the store server sets “generation-of-store information” to “1” as the generated information type (initial value = 0).
Write. The generated information type = 1 also represents the “process at store visit”. (Figure 19)

Information generating means (S04) ... The store server
By referring to the "reading information primary storage table", "information regarding consumption behavior" (= "information when visiting the store") is generated.
The store server generates the information in a table on the buffer. (Figure 20)

First, the store server refers to the data item (generation information type) on the "reading information primary storage table" and confirms the "information regarding consumption behavior" selected by the generation information selecting means (S03). Here, the generation of “information when coming to the store” is selected.

Next, the store server obtains the serial number information from the "serial number master" and sets it in the data item (serial number information) on the "reading information primary storage table". At the same time, the store server counts up the serial number of the “serial number master”.

Next, the store server creates "visit information" from the "read information primary storage table" in the buffer area (output template) on the store DB.

The data items of "information upon coming to the store" include a member number, a coming date, a coming time, a coming store, a coming store serial number, an information division, a device division information, a sales time, a receipt number, a coming point, an assigned flag and a carry-forward flag. Is. (Figure 16)

In the same means, the store server sets the data items of the member number, the store date, the store time, the store store, the store serial number, the information division and the device division information in the buffer area. Specifically, the member number on the "reading information primary storage table" is the member number on the buffer, similarly, the device fixed value is the device classification information, the reading date is the visiting date, and the reading time is the visiting time. , The generated information type is set to the information classification, and the serial number information is set to the store visit serial number. In addition, the store visited sets the information held by the store server. (Figure 20)

The information category represents the type of "information regarding consumption behavior"("information upon visit to the store", "information within the store" and "information upon exit"), and the device category information represents information that identifies the reading device. ing.

The above-mentioned "serial number master" is one of the master information that the store server possesses and centrally manages. The "serial number master" is used when the store server acquires serial number information in the information generating means (S04).

Generation information storage means (S05) ... The store server refers to the buffer information (store visit information) and stores "information regarding consumption behavior" (= "store visit information").

The store server stores the "visit store information" assembled in the buffer area on the store DB in the "visit store information" on the store DB. (Figure 24)

The above is the means performed by the store server when the registered member visits the store and reads the point card into the reading device A (FIG. 1). Next, the means performed by the store server when the registered member reads the point card into the reading device D1 or D2 (FIG. 1) will be described. In this case, the process performed by the store server is the “in-store process”. Figure 11
Is a DFD for "in-store process". In FIG. 11, S01 is information acquisition means, S02 is information generation determination means,
S03 is generated information selection means, S04 is information generation means, S
Reference numeral 05 denotes a generation information storage means (that is, the "in-store process" is composed of S01 to S05). Hereinafter, description will be made with reference to FIG. 11 and the drawings (FIGS. 17 to 25) in which detailed information regarding each unit is described. In addition,
For the sake of explanation, the reading device is D1.

Information acquisition means (S01) ... The store server
The "read information" is obtained from the reading device D1 and temporarily stored.
The same means is the same as the “visit process”. (Figure 17)

Information generation judging means (S02): The store server judges whether or not to generate "information regarding consumption behavior" by referring to the "read information primary storage table" or the like. Similar to the “visit process”, the above determination is performed based on “conditions regarding the reading order of the member's point card by the plurality of devices”. If the reading order is correct, "information regarding consumption behavior" is generated, and if incorrect, it is not generated. The generation possibility determination result is stored in a data item (generation determination information) on the “read information primary storage table”. (Figure 18)

In the "in-store process", the conditions for judging that the "reading order is correct" are as follows: Condition 1: "This time visit", the point card has already been read by the reading device A, and condition 2 : At this time's visit,
Cash register (readers B1 to B4) or exit (reader C)
When the point card has not been read yet, and when both the above conditions 1 and 2 are satisfied, it is determined that the “reading order is correct”.

On the other hand, in the "in-store process", the conditions for judging "the reading order is incorrect" are the above condition 1 and the above condition 2.
Is not satisfied at the same time. Example 1: “Reading device D
1 ”, example 2:“ reading device A → reading device C → reading device D
1 "and so on. In Example 1, reading is not performed at the entrance, and the order is incorrect. Example 2 does not follow the normal customer lead line from exit to store, and the order is incorrect.

[0109] It should be noted that an appropriate number of "in-store information" may be collected, and thus re-reading of the same device may be permitted. Example 3: “Reading device A → reading device D1 → reading device D2 → reading device D1” may be the “reading order is correct”.
(Fig. 1)

Generation information selecting means (S03): The store server refers to the "reading information primary storage table" and selects the "information regarding consumption behavior" to be generated. The same means is the same as the “visit process”. (Figure 19)

That is, the store server writes “in-store information” = 2 ”in the generated information type (initial value = 0). The generated information type = 2 also represents “in-store process”.

Information generating means (S04) ... The store server
With reference to the "reading information primary storage table", "information regarding consumption behavior" (= "in-store information") is generated. The store server generates the information in a table on the buffer. (Figure 21)

First, the store server refers to the data item (generation information type) on the "reading information primary storage table" and confirms the "information regarding consumption behavior" selected by the generation information selecting means (S03). Here, generation of “in-store information” is selected.

Next, the store server obtains the data item (visit store serial number) of this “visit store information” regarding the member,
It is set in the data item (serial number information) on the "reading information primary storage table". In this process, "serial number master"
Does not use.

Next, the store server creates "in-store information" from the "read information primary storage table" in the buffer area (output template) on the store DB.

The data item of "in-store information" is a member number,
The input date, the input time, the information classification, the device classification information, the store visited and the store serial number. (Figure 16)

In the same means, the store server sets all the data items of "in-store information" in the buffer area. Specifically, the member number on the "reading information primary storage table" is the member number on the buffer, the device fixed value is the device classification information, the reading date is the input date, and the reading time is the input time. , The generated information type is set to the information classification, and the serial number information is set to the store visit serial number. In addition, the store visited sets the information held by the store server. (Figure 21)

Generation information storage means (S05) ... The store server refers to the buffer information (in-store information) and stores “information regarding consumption behavior” (= “in-store information”).

The store server stores the "store information" assembled in the buffer area on the store DB into the "store information" on the store DB.
Remember. (Figure 24)

As described above, the registered member is the reading device D1 or D2.
(FIG. 1) is a means performed by the store server when the point card is read. Next, the registered member reads the reading device B.
1 to B4 (FIG. 1), the means performed by the store server when the point card is read will be described. In this case, the process performed by the store server is the “purchase process”. FIG. 12 is a DFD related to the “procurement process”. In FIG. 12, S01 is information acquisition means, S02 is information generation determination means, S03 is generation information selection means, S04-1 is sales information generation means, S05-1 is sales information storage means, S06 is point calculation means, and S07 is Store visit point calculation means, S
Reference numeral 08 represents a point giving determination means, S09 represents a point giving means, and S10 represents a point carry-over means (that is,
The "purchase process" is composed of S01 to S10). Hereinafter, description will be made with reference to FIG. 12 and the drawings (FIGS. 17 to 31) in which detailed information regarding each unit is described. For the sake of explanation, the reading device is B1.

Information acquisition means (S01) ... The store server
The "reading information" is obtained from the reading device B1 and temporarily stored.
The same means is the same as the “visit process”. (Figure 17)

Information generation judging means (S02) ... The store server judges whether or not to generate "information regarding consumption behavior" by referring to the "read information primary storage table" and the like. Similar to the “visit process”, the above determination is performed based on “conditions regarding the reading order of the member's point card by the plurality of devices”. If the reading order is correct, "information regarding consumption behavior" is generated, and if incorrect, it is not generated. The generation possibility determination result is stored in a data item (generation determination information) on the “read information primary storage table”. (Figure 18)

In the "purchase process", the conditions for judging that the "reading order is correct" are the same as in the "in-store process", and the condition card is already read by the condition 1: "this time visit". Being read by device A, condition 2: at "this time visit", checkout (reading device B1
Through B4) or the exit (reading device C), the point card has not been read, and both the above conditions 1 and 2 are satisfied, the above "reading order is correct".
To judge.

On the other hand, in the "purchase process", the condition for judging "the reading order is incorrect" is that the above conditions 1 and 2 are not satisfied at the same time. Example 1: “Reading device D
2 → reading device B1 ", Example 2:“ reading device A → reading device B ”
2 → reading device B1 ”and the like. In Example 1, reading is not performed at the entrance, and the order is incorrect. Example 2 does not follow the regular customer lead from cash register to cash register, and the order is incorrect.

Generation information selection means (S03): The store server refers to the "reading information primary storage table" and selects the "information regarding consumption behavior" to be generated. The same means is the same as the “visit process”. (Figure 19)

That is, the store server writes “sales information” = 3 ”in the generated information type (initial value = 0). The generated information type = 3 also represents the “procurement process”.

Sales information generating means (S04-1) ... The store server refers to the "POS information" and generates the "sales information". The store server generates the information in a table on the buffer. (Figure 23)

First, the store server refers to the data item (generation information type) on the "reading information primary storage table" and confirms the "information regarding consumption behavior" selected by the generation information selecting means (S03). Here, the generation of “sales information” is selected.

Next, the store server "P
The data item (sales time, receipt number) of “OS information” is obtained and generated in the buffer area (output template) on the store DB.

The data item of "sales information" is the sales time,
Receipt number and point of visit. The same points do not set the store visit points.

Sales information storage means (S05-1) ... The store server refers to the buffer information (sales information),
It is stored in the relevant data item of “information regarding consumption behavior” (= “information when visiting the store”).

The store server stores the "sales information" assembled in the buffer area on the store DB in the "visit store information" on the store DB. (Figure 25)

Point calculation means (S06): The store server calculates "point information" by referring to "POS information" and the like. The store server stores the calculation result in the “point information primary storage table” on the store DB.

First, the store server obtains the data item (purchasing point) of "POS information".

Next, the shop server refers to the "point calculation condition information" and recalculates the number of purchase points this time. Then, the calculated number of purchased points is stored in the data item (number of purchased points) of the "point information primary storage table". (Figure 26)

The data items of the "point information primary storage table" are the number of purchase points, the number of store visit points, the number of unassigned points, and the assigned pattern information. The award pattern information is information on the type of points actually given to the member.

The "point calculation condition information" is one of the master information that the store server possesses and centrally manages. The store server refers to the same information to recalculate purchase points and calculate visit points.

A supplementary explanation will be made regarding the recalculation of purchasing points.
The purchase points obtained from the POS information are the number of points already calculated by the POS system, and a method of directly setting the same number of points in the "point information primary storage table" is also conceivable.

When set as it is, the above recalculation is to perform recalculation by an equivalent arithmetic expression.
That is, it can be dealt with by setting the above-mentioned arithmetic expression or the like in the “point calculation condition information”.

The arithmetic expression is, for example, “Y = X”, where X is input information (the number of points obtained from the POS) and Y is output information (the number of points set in the point information primary storage table). .

Store visit point calculation means (S07) ... The store server calculates "store visit point information" by referring to "information regarding consumption behavior" and the like. The store server stores the calculation result in the “point information primary storage table” on the store DB.
Remember. (Figure 27)

First, the store server refers to the data item (serial number information) of the read primary storage information, and based on the coincidence of serial number information, the "information regarding the consumption behavior" of the member for this time.
(= Information when visiting the store (including sales information), in-store information).

Next, the store server calculates the number of store visit points of this time by referring to the "information on consumption behavior" of the member and the "point calculation condition information".
Then, the calculated number of store visit points is stored in the data item (number of store visit points) of the “point information primary storage table”.

Subsequently, the store server obtains past “information regarding consumption behavior” (= unpaid visit point information) regarding the member.

The data items of "unpaid store visit point information" are a member number, a store date, a store time, a store, a store serial number, a store point number, and an assigned flag. (Fig. 1
6)

Specifically, the store server refers to the data item (member number) of the read primary storage information, and in the "unpaid store visit point information" with the same member number, points are not yet given (granted flag ≠ Extract all records from 1).

Next, the store server adds the data items (the number of store visit points) of the extracted "unpaid store visit point information" to obtain the total of unassigned points. Then, the calculated number of points is stored in the data item (the number of unassigned points) of the “point information primary storage table”.

Store Point Determining Means (S08): The store server refers to "information regarding consumption behavior" and the like,
It is determined whether or not to give the calculated various points to the member. The store server stores the determination result in the “point information primary storage table” on the store DB. (Figure 28)

First, the store server refers to the data item (serial number information) of the read primary storage information, and based on the coincidence of serial number information, the "information regarding the consumption behavior" of the member this time.
(= Information when visiting the store (including sales information), in-store information).

Next, the shop server refers to the "point granting condition information" to judge whether each of the various calculated points (purchasing points, visiting points, unpaid points) can be granted or not. The store server stores the result of the determination in the data item (addition pattern information) of the “point information primary storage table”.

For example, the "addition pattern information" is 1-byte information (upper 4 bits are used), the upper 1st bit is the purchase point, the upper 2nd bit is the store visit point, the upper 3rd bit is the unpaid point, the upper The 4th bit is reserved. (If each bit is 1, the point represents "grant".)

The "point-giving condition information" is one of the master information that the store server holds and centrally manages. The store server refers to the information and determines whether or not to grant each of various points (purchasing points, store visit points, unpaid points).

Point giving means (S09) ... The store server refers to the "point information primary storage information" and actually gives various points to the member. The store server stores each of the above information in a “point card” or “information regarding consumption behavior” (= information when visiting a store).

First, the store server refers to the data items (granting pattern information) of the “point information primary storage table” and refers to various points (purchasing points, store visit points, unpaid points) designated as points to be awarded.
Calculate total points. If the total number of points is 0, the means ends.

Next, the store server stores (adds) the total number of points in the point card (data item is present point information) of the member.

Next, the store server stores the data items (grant pattern information) of the "point information primary storage table".
Check whether or not the "visit point" is to be granted. When the “visit point” is a target, the store server sets the data item (the number of store points) of the “point information primary storage table” to the data item (the number of store points) of the store visit information, and the store visit information. The assigned (= 1) is stored in the data item (assigned flag).

Similarly, the store server refers to the data item (granting pattern information) of the “point information primary storage table” and confirms whether “ungranted points” are to be granted. When the “unassigned points” are the assignment target, the store server stores the assigned (= 1) in the data item (assigned flag) of each of the extracted “unpaid visit point information” (FIG. 29, FIG. 29). (Fig. 30)

Point carry-over means (S10): The store server refers to the above-mentioned "point information primary storage information" and carries out a process of carrying over store visit points that have not been given. The store server sets a flag indicating "carry-over" in the data item (carry-over flag) of the "point information primary storage information".
When the flag is set, the store visit point is carried forward in the "daily batch process" described later.

First, the store server refers to the data item (visit point, assigned flag) of the above-mentioned store visit information, and searches for a record that has a visit point but is not assigned. The carry-over (= 1) is stored in the data item (carry-over flag) of the record of the retrieved “information when coming to the store”. (Fig. 3
1)

As described above, the registered member comes to the store to read the reading device B1.
(FIG. 1) is a means performed by the store server when the point card is read. Next, the registered member reads the reading device C.
The means performed by the store server when the point card is read will be described with reference to FIG. In this case, the process performed by the store server is the “exit process”. S in FIG.
01 is information acquisition means, S02 is information generation determination means, S0
3 is generation information selection means, S04 is information generation means, S05
Is generation information storage means, S07 is store point calculation means,
S08 is a point-giving judging means, and S10 is a point-carrying-over means (that is, the "procedure at the time of purchase" is composed of the respective means). Hereinafter, FIG. 13 and the drawings describing detailed information about each means (FIGS. 17 to 31)
Will be explained.

Information acquisition means (S01) ... The store server
The “reading information” is obtained from the reading device C and temporarily stored. The same means is the same as the “visit process”. (Figure 17)

Information generation judging means (S02): The store server judges whether or not to generate "information regarding consumption behavior" by referring to the "read information primary storage table" or the like. Similar to the “visit process”, the above determination is performed based on “conditions regarding the reading order of the member's point card by the plurality of devices”. If the reading order is correct, "information regarding consumption behavior" is generated, and if incorrect, it is not generated. The generation possibility determination result is stored in a data item (generation determination information) on the “read information primary storage table”. (Figure 18)

In the "exit process", the condition for judging that the "reading order is correct" is the condition 1: "this time visit", the point card has already been read by the reading device A, and the condition 2: At "this time's visit",
When the point card has not been read by the exit (reading device C) and both the conditions 1 and 2 are satisfied, it is determined that the reading order is correct.

On the other hand, in the "exit process", the condition for judging "the reading order is incorrect" is that the conditions 1 and 2 are not satisfied at the same time. Example 1: “Reading device D
1 → reading device B1 → reading device C ", Example 2:" reading device A "
→ reading device B2 → reading device C → reading device C ".
In Example 1, reading is not performed at the entrance, and the order is incorrect.
Example 2 does not follow the normal customer lead line from exit to exit, and the order is incorrect.

Generation information selection means (S03): The store server refers to the "reading information primary storage table" and selects "information regarding consumption behavior" to be generated. The same means is the same as the “visit process”. (Figure 19)

That is, the store server writes ““ exit information ”= 4” in the generated information type (initial value = 0).
The generated information type = 4 also represents the “exit process”.

Information generation means (S04) ... The store server
By referring to the “reading information primary storage table”, “information regarding consumption behavior” (= “exit time information”) is generated.
The store server generates the information in a table on the buffer. (Figure 22)

First, the store server refers to the data item (generation information type) on the "reading information primary storage table" and confirms the "information regarding consumption behavior" selected by the generation information selecting means (S03). Here, the generation of the "exit information" is selected.

Next, the store server obtains the data item (visit store serial number) of this "visit store information" regarding the member,
It is set in the data item (serial number information) on the "reading information primary storage table". The "serial number master" is not used here.

Next, the store server generates "exit information" from the "read information primary storage table" in the buffer area (output template) on the store DB.

The data items of "exit time information" are a member number, an exit date, an exit time, an information classification, a device classification information, a store visited and a store serial number. (Figure 16)

In the same means, the store server sets all the data items of "exit information" in the buffer area. Specifically, the above-mentioned "reading information primary storage table"
The above member number to the member number in the above buffer, device fixed value to device classification information, reading date to exit date, reading time to exit time, generated information type to information classification, serial number information Set each to the serial number. In addition, the store visited sets the information held by the store server. (Figure 22)

Generation information storage means (S05) ... The store server refers to the buffer information (exit information) and stores “information regarding consumption behavior” (= “exit information”).

The shop server stores the "exit time information" assembled in the buffer area on the shop DB in the "exit time information" on the shop DB. (Figure 24)

Store visit point calculation means (S07): The store server calculates "store visit point information" by referring to "information regarding consumption behavior" and the like. The store server stores the calculation result in the “point information primary storage table” on the store DB.
Remember. The same means is similar to the “procurement process”. Therefore, it is not performed when the "purchase process" is being performed. Whether the “purchase process” has been performed or not can be referred to the “purchase information”. (Figure 27)

Visit point giving determination means (S08) ... The store server refers to "information regarding consumption behavior" and the like,
It is determined whether or not to give the calculated various points to the member. The store server stores the determination result in the “point information primary storage table” on the store DB. The same means is similar to the “procurement process”. Therefore, it is not performed when the "purchase process" is being performed.
Whether "purchase process" has been performed is "purchase information"
Please refer to. (Figure 28)

Point carry-over means (S10) ... The store server refers to the "point information primary storage information",
Perform processing to carry over the store visit points that were not granted.
The same means is similar to the “procurement process”. Therefore,
Do not perform if "purchase process" is being performed. Whether the “purchase process” has been performed or not can be referred to the “purchase information”. (Figure 31)

The above is the means performed by the store server when the registered member visits the store and reads the point card into the reading device C (FIG. 1). Next, means in the “daily batch process” performed by the store server and the headquarters server will be described. In FIG. 8, S201 to S204 are means performed by the headquarters server, and S101 to S105 are means performed by the store server. S101 is an upstream information file writing means, S102
Is an up information file transmitting means, S103 is a store visit information clearing means, S104 is a down information file receiving means, S1
Reference numeral 05 is a downlink information file reading unit, S201 is an uplink information file reading unit, S202 is a history information generating unit, and S2.
Reference numeral 03 represents a downstream information file writing means, and S204 represents a customer purchasing analysis means file generating means (that is,
The "daily batch process" is composed of the above means). Hereinafter, description will be made with reference to FIGS. 8 and 14 and FIGS. 32 to 42.

The "daily batch processing process" is information transmission / reception performed between store headquarters and information processing performed at the headquarters after the business hours of the store have ended.

The store server generates a file to be transmitted to the headquarters from the store DB (upstream information file writing means (S
101)), and transmits the file to the headquarters side (uplink information file transmitting means (S102)). Next, the store server deletes the store visit information and the like on the store DB (store visit information clearing means (S103)).

On the other hand, the headquarter server fetches the file transmitted from the store server into the headquarter DB (upstream information file reading means (S201)). Next, the headquarters server
"Member behavior history information" and the like are generated (history information generation means (S202)). Next, the headquarters server creates a file to be transmitted to each store based on the information created on the headquarters DB (downlink information file writing means (S20).
3)).

Further, the store server receives the file generated by the headquarters server (downlink information file receiving means (S104)). Next, the store server loads the received file into the store DB (downstream information file reading means (S105)).

Further, the headquarter server generates a file to be used by the customer purchasing analysis means (S14) of the "aggregation process" (customer purchasing analysis means file generating means (S20).
4)). Details of this procedure will be described later in "Aggregation process".

FIG. 32 is a diagram showing the time schedule of the "daily batch processing process". Solid arrows in the figure represent steps (processing flow) between means. The broken line arrow represents the cooperation (synchronization) of the means of the store server and the headquarters server. The solid line rectangle represents the means performed by the store server or the headquarters server. The feature of this process is that the means performed by the store server and the means performed by the headquarters server are linked to each other.

Four supplements will be added to the contents described in FIG.

First, there is a supplement regarding the solid line rectangle (means). As described above, the means can be classified into two types depending on the implementing entity, but can also be classified into two types depending on the activation method (trigger). Means described by a thick rectangle among the solid rectangles (upstream information file writing means (S1
01), the upstream information file transmitting means (S102), the downstream information file receiving means (S104), the upstream information file reading means (S201) and the customer purchasing analysis means file generating means (S204) It is a designated means.

On the other hand, among the solid line rectangles, means indicated by thin line rectangles (visit information clearing means (S103), downlink information file reading means (S105), history information generating means (S202) and downlink information file writing means (S20
3)) is a unit that is activated one after another after the other units are terminated without specifying the activation time. That is, the thick line means is means for starting activation independently of other means, and the thin line processing is means for starting activation depending on other means.

Secondly, there is a supplement regarding a rectangle (time zone) having a large broken line. By shifting the start time of the means related to file transmission / reception (uplink information file transmission means (S102), reception time, downlink information file reception means (S104)) for each store, the load is not concentrated on the headquarters server, line, etc. for a certain period of time. I am devising so.

Upstream information file transmitting means (S102)
Indicates that each store server sequentially transmits the file to the headquarters server during the time period from 21:10 to 23:10. Again 21: 1
The time zone from 0 to 23:20 indicates that the headquarters server sequentially receives the files transmitted from each store server. Similarly, the downlink information file receiving means (S104) sets 03:00.
From 05:00 to 05:00, each store server sequentially receives the file from the headquarters server.

Thirdly, there is a supplement regarding time notation. Timer starting means (upstream information file writing means (S10
1), the upstream information file transmitting means (S102), the downstream information file receiving means (S104), the upstream information file reading means (S201), and the customer purchasing analysis means file generating means (S204)), start time (start time) And the scheduled end time.

On the other hand, means for sequentially activating (information upon arrival at the store (S103), means for reading down information file (S10)
5), the history information generating means (S202) and the downlink information file writing means (S203) are activated upon completion of the preceding process means, so the start time is unknown.

However, regarding the history information generating means (S202) and the downlink information file writing means (S203), the scheduled start time and scheduled end time are described for the sake of explanation. The time zone is defined as the time zone using the processing start time of the shop with the earliest processing start and the scheduled end time of the shop with the latest processing start.

The fourth is a supplement regarding the spare time.
At the headquarters server, the reception time end time (23:20) and the start time of the upstream information file reading means (S201) (00: 2)
The interval (1 hour) with 0) is a preliminary time. Similarly, the end time of the egress information file writing means (S203) (02: 1
The interval (50 minutes) between 0) and the activation time (03:00) of the downlink information file receiving means (S104) is also a preliminary time.

Upstream information file writing means (S101) ...
The store server writes the “information regarding consumption behavior” (= “store visit information”, “in-store information”, “exit information”) stored in the store DB as an external file. The external file names are “data when coming to the store”, “data inside the store”, and “data when leaving”, respectively. (Figure 33)

The physical storage location (writing destination) of the external file specifies a location where the store server can manage. Here it is on the store server. The data items held in the file are the same as the data items of the respective tables from which the calculations are made. The external file is CS
It is a general file such as a V file.

Upstream information file transmitting means (S102) ...
The store server transmits an external file (= “visit store data” “in-store data” “exit data”) stored on the store server to the headquarters side. (Fig. 34)

The physical storage location (destination) of the external file specifies a location that can be managed by the headquarters server. Here, it is on the headquarters server. Therefore, after the completion of this means by all the stores, the files (= “store visit data” “in-store data”) for all stores are stored in the designated address on the headquarters server.
“Exit data” exists.

On-visit information clearing means (S103) ... The store server deletes (clears) information that is no longer required to be retained from the information stored in the store DB. (Fig. 3
5)

Information to be deleted includes all records of “information regarding consumption behavior” (= “information when coming to the store”, “information inside the store”, “information when leaving the store”) and “information about unpaid store visit points”.
This is a record of points already assigned. This is because the former has already been transmitted to the headquarters side and need not be stored in the store DB.

Upstream information file reading means (S201) ...
The headquarter server reads the above-mentioned file (= “data when coming to the store”, “data inside the store”, “data when leaving”) stored in the headquarters DB into the headquarters DB. The record name and data item are the same as those on the store server. (Figure 36)

History information generating means (S202) ... The headquarters server stores “information regarding consumption behavior” stored in the headquarters DB (= “visit information”, “store information”, “exit information”).
With reference to, “information regarding consumption behavior” (= “member behavior history information” “unpaid visit point information”) is generated in the headquarter DB. (Figure 14, Figure 37)

First, the headquarters server deletes the "unpaid store visit point information" for the previous day.

Next, the headquarter server refers to today's "information on consumption behavior" received from each store and creates a new record of "member behavior history information".

Next, the headquarter server refers to the new record of "member behavior history information" and creates a new record of "unpaid store visit point information". Finally, the headquarter server clears the “information regarding consumption behavior”.

[0205] After the completion of this procedure, "information on consumption behavior" collected at all stores for this business day (= "information when visiting the store")
“In-store information” and “exit information”) are generated as new records of “member behavior history information” on the headquarters DB. In addition, the “visit store points” that have not been given are reflected in the “unpaid store visit point information”. (Figure 37)

The generation of member action history information will be described in detail with reference to FIGS. 38 and 39. Headquarters server is headquarters D
Retrieve one record from the "visit information" on B (Fig. 3
8-01). When all the records have been taken out, the processing ends.

Next, the headquarter server confirms the presence / absence of sales information (sales time, receipt number) on the extraction record (FIG. 38-02). If the same information does not exist, it is confirmed whether there is exit information corresponding to the extraction record (Fig. 38-0).
3). If there is no record of the exit information, one record is extracted from the new “visit information” (FIG. 38-0).
1). The corresponding record is a record whose store visit and store visit serial number match.

When there is a record of the sales information or the exit time information, the headquarter server retrieves the in-store information and the exit time information corresponding to the store visit information record (FIG. 38).
-04).

Finally, the headquarter server generates a new record of "member action history information" from the take-out record ("information upon visit to the store"), the "in-store information" record and the record from the "exit-time information". (Fig. 38-05 and Fig. 3
9).

That is, the "member behavior history information" is generated only "when there is store visit information and sales information" or "when there is store visit information and exit information". In this example,
If the same condition is not satisfied, not only the "member behavior history information" is generated, but also the "visit point" is not given.

The generation of unpaid store point information will be described in detail with reference to FIGS. 38 and 39. The headquarters server is
One record is retrieved from the "member behavior history information" on the headquarters DB (Fig. 38-06). When all the records have been taken out, the processing ends.

Next, the headquarter server confirms the carry-over flag on the extraction record (FIG. 38-07). When the flag is not set (when not carried over), one record is extracted from the new "member behavior history information" (Fig. 38-0).
6).

If the flag is set (carried over), the headquarter server generates a new record of "unpaid store visit information" from the extracted record (FIGS. 38-08 and 39).

Downlink information file writing means (S203) ...
The headquarters server writes out “information regarding consumption behavior” (= “member behavior history information” “unpaid visit time information”) stored in the headquarters DB as an external file. The external file names are "history data" and "unpaid data", respectively. (Figure 40)

The physical storage location (export destination) of the external file specifies a location that can be managed by the head office server. Here, it is on the headquarters server. The data items held in the file are the same as the data items of the respective tables from which the calculations are made.

Downlink information file receiving means (S104) ...
The store server receives an external file (= “history data” “unpaid data”) stored on the headquarters server to the store side. (Fig. 41)

As the physical storage location (reception destination) of the external file, a location where the store server can manage is designated. Here it is on the store server. Therefore, after the completion of this means by all stores, the file (= “history data” “unpaid data”) exists at the designated address on the store server in each store.

Downlink information file reading means (S105) ...
The store server reads the file (= “history data” “unpaid data”) stored in the store DB into the store DB. The record name and data item are the same as those on the headquarters server. (Fig. 42)

Customer purchase analysis means file generation means (S
204) ... Headquarters server uses various information used in the “aggregation process” (= customer purchase analysis means (S14)) (FIG. 48).
Is generated based on the “member behavior history information” generated by the history information generation means (S202). (Fig. 46)

The above is the means that the store server and the headquarters server perform after the business hours have ended. Next, means for information analysis and the like performed by the headquarters server will be described. The process performed by this headquarter server is the “aggregation process”. FIG. 15 is a DFD related to the “aggregation process”. In FIG. 15, S11 is a time calculation means, S12 is a visitor discrimination means, S13 is a customer demographic information calculation means, and S14 is a customer purchase analysis means. That is,
The "aggregation process" is composed of the means of S11 to S14). Thereafter, FIGS. 9, 15, 43 to 84
Will be explained.

Each means in the "aggregation process" is independent, unlike the means in other processes.
(Figs. 9 and 15)

Time calculation means (S11) ... The head office server
"Information about consumption behavior" (=
“Member behavior history information”) is referred to, and “information regarding consumption behavior” (= “purchasing required time” “in-store stay time” “section travel time”) is calculated. The calculation result is stored in the corresponding data item of the "member behavior history information". (Fig. 4
3)

Specifically, the required purchase time = difference between store arrival time and sale time, in-store retention time = difference between store arrival time and exit time, and section travel time = difference between store arrival time and store time.
Each calculation described above is performed on a record newly generated in the "daily batch process". The definition of the section travel time can be set in various ways.

Visitor discriminating means (S12) ... The head office server stores "information regarding consumption behavior" stored in the head office DB.
(= “Member behavior history information”)
And "the buyer" etc. are estimated. (Figure 44)

First, the headquarter server refers to the POS information and extracts all the membership numbers included in the information. The extracted information is referred to as “extraction group A”. Similarly, "information on consumption behavior" (= "member behavior history information")
Of the above information, only information having sales information (“sales time” “receipt number”) is extracted. The extracted information is referred to as “extraction group B”. Similarly, referring to "information regarding consumption behavior" (= "member behavior history information"),
Extract all of the above information. The extracted information is referred to as “extraction group C”.

Next, the headquarter server refers to the "extraction group A", "extraction group B" and "extraction group C",
Members are classified into "purchaser", "visitor" and "non-purchaser".

Specifically, the members included in A or B are “purchasers”, the members included in A or C are “visitors”, included in C and not included in B. Estimate members as "not yet purchased".

Customer lead information calculation means (S13) ... The headquarter server calculates the customer lead information by referring to “information regarding consumption behavior” (= “member behavior history information”) stored in the headquarters DB. The calculation result is headquarter D as "customer lead information".
Generate on B. (Fig. 45)

Data items (in-store time 2, in-store location 2) to (in-store time N, in-store location N) of the "customer lead information".
Is used (set of data) when a plurality of “in-store information” is generated in the “in-store process”. In this case, the “member behavior history information” also needs to hold (in-store time 2, in-store location 2) to (in-store time N, in-store location N). (N is a natural number of 3 or more)

When a plurality of "in-store information" are generated in the "in-store process", the headquarter server determines (in-store location, in-store time), (in-store time 1, in-store location 1) to (in-store time N, in-store time). It is possible to estimate the customer lead of the member from the location N), (sale time) and (exit time, exit location).

In this embodiment, in order to simplify the "in-store process" and the like, the in-store information is collected in only one place.

Customer purchasing analysis means (S14) ... The head office server stores "information regarding consumption behavior" stored in the head office DB.
Etc. (= “member behavior history information”, etc.) and analyze the consumption behavior of the member. The analysis result is output on a display or the like. (FIGS. 46 to 84)

The left side of FIG. 46 is a diagram showing the data flow of this means. That is, the headquarter server searches the headquarter DB based on the information input on the screen, performs necessary processing such as tabulation, and displays the output information on the screen.

The right side of FIG. 46 is a diagram showing the customer purchase analysis means file generation means (S204). That is, various information used by the customer purchasing analysis means (S14) (see FIG. 4).
8) has been additionally updated in the "daily batch process".

47 and 48 are lists (examples) of various information used by the customer purchasing analysis means (S14). The data items of the information are shown in FIGS. 49 to 52.

The information shown in FIG. 47 includes member registration information, product registration information, classification registration information, store information, occupation classification information,
They are annual income classification information, status classification information, planning classification information, commercial area classification information, district classification information, DM planning information, POS specification information, and POS total information. These are the primary information (raw data) collected daily.

The member registration information is information obtained from a person who is going to become a member at the time of member registration. The product registration information is information about products such as so-called product masters. The classification registration information is master information related to product classification. The store information is information about stores such as so-called store masters. The division information is information on various divisions. The DM plan information is plan information regarding sales promotion by direct mail. The POS detailed information and POS total information are so-called POs.
It is S information.

The information shown in FIG. 48 is member behavior history information, member detailed information, member purchase total information (daily purchase total information, weekly purchase total information, monthly purchase total information and annual purchase total information), DM performance information and member evaluation information. Each of the above information is secondary information processed for the customer purchasing analysis means based on the above primary information.

The member detailed information is information on purchasing and consuming behavior. The member purchase total information is period total information (summary information) regarding consumption behavior and purchase. The DM performance information is information on the sales promotion plan performance by direct mail. The member evaluation information is information about the evaluation of the member based on the consumption behavior and the purchase record.

The member history information is generated by the history information generating means (S202) of the "daily batch process", and "member detailed information", "member purchase total information", "DM performance information" and "member evaluation information". Is generated by the file generation means (S204) for the customer purchase analysis means of the "daily batch process".

FIG. 53 is a diagram showing a data set of member detailed information generation and total information regarding the customer purchase analysis means file generation means (S204). Similarly, FIG. 54 is a diagram showing a data set of DM performance information and member evaluation information.

As described above, the customer purchasing analysis means (S1
All the various types of information referred to in 4) have been generated in the headquarters DB at the end of the "daily batch process".

Next, the analysis (or aggregation) using the various information will be described. The analysis given by way of example is characteristic of the invention. "Input screen" for each analysis,
This will be described using the “output screen” and the “output information”.

A supplement will be given regarding the above-mentioned “output information”. The information given in the "output information" is the information necessary for the above-mentioned aggregation and analysis. The data items marked "necessary" are SQL
It is a data item described in the sentence. Specifically, SEL
It is a data item described in an ECT sentence, a WHERE clause, or the like. In other words, it is a data item that is actually output, a data item that is an extraction condition, etc., of the necessary information.

55 to 57 are drawings relating to [average required time in shop by purchase item and time zone]. FIG. 55
Is an input screen, FIG. 56 is an output screen, and FIG. 57 is a drawing showing output information.

[In-store average required time by purchase item / time zone] is an analysis of the relationship between the number of items purchased by the member in the store and the time required for the purchase. As the time required for the purchase, "purchase required time" is used. However,
When a member does not purchase a product, "in-store residence time" is used.

58 to 60 are drawings relating to the [weekly visit status table]. 58 is an input screen, FIG. 59 is an output screen, and FIG. 60 is a drawing showing output information.

[Weekly visit status table] is a compilation of weekly visitor numbers and purchaser numbers by store. Information about weather is obtained from another system.

61 to 63 show [customer turnover rate by store].
It is a drawing regarding. 61 is an input screen, FIG. 62 is an output screen, and FIG. 63 is a drawing showing output information.

[Customer turnover by store] is a total of member turnover by store. The turnover ratio is obtained by dividing the number of purchasers per unit period by the number of members and the number of visitors per unit period by the number of members. The purchase rate is a ratio of the number of purchasers to the number of visitors.

FIGS. 64 to 66 are drawings relating to the [Special Customer Attraction Report by Member Rank]. 64 shows the input screen,
FIG. 65 is an output screen, and FIG. 66 is a drawing showing output information.

The [Special Sale Customer Report by Member Rank] is an analysis of the performance regarding special sale. It measures the special sale plan such as advertisement before the special sale and the effect after the special sale. The effect of the special sale is analyzed by comparing the situation of attracting customers on the special sale day and the comparison day (normal day when the standard special sale is not conducted). We are analyzing by rank in consideration of FSP (Frequent Shopper Program).

67 to 69 show [DM performance report].
It is a drawing regarding. 67 is an input screen, FIG. 68 is an output screen, and FIG. 69 is a drawing showing output information.

[DM performance report] is an analysis of performance related to DM shipping. With respect to a member who has sent out a DM, the effect of carrying out the DM shipment is measured by conducting a follow-up survey of the visit and purchase status of the member.

70 to 72 are drawings relating to the [specific member visit trend table]. 70 is an input screen, FIG. 71 is an output screen, and FIG. 72 is a drawing showing output information.

[Specific member visit trend table] is a compilation of the visit situation of each member. Unlike the normal analysis, the feature is that the history of visits to the store (when the store is visited but not purchased) is output.

73 to 75 are drawings relating to the [specific single item sales status table]. 73 is an input screen, FIG. 74 is an output screen, and FIG. 75 is output information.

[Specific item sales status table] is a compilation of the sales status of individual products. The so-called PI (Purchase
In addition to the "Index" value, "the sales volume of this product per 1000 members who purchased,""the sales volume of this product per 1000 members who visited the store" is output.

76 to 78 are drawings relating to the [Purchase rate superior ranking table]. 76 shows an input screen, FIG.
7 is an output screen, and FIG. 78 is a drawing showing output information.

The [Purchase rate top ranking table] is an analysis of the consumer purchasing behavior of the members, paying attention to the purchase rate. The "purchase rate" is calculated from the visit record and purchase record. The “purchase rate” is a value obtained by dividing the “purchase count” by the “store visit count”. For face-to-face sales of luxury goods, etc., the salesperson inputs information about the top-ranked "purchase rate" to enable effective customer service CRM (Customer Rel.
ationship Management).

Although not given as an example, a screen combining the display contents of the [Specific member visit trend table] and the [Purchase rate top ranking table] (input the member number and display the "purchase rate" of the member) By preparing the output screen), the salesperson can estimate the purchase possibility of the member currently serving.

79 to 81 show [non-excellent member list].
It is a drawing regarding. 79 shows an input screen, FIG. 80 shows an output screen, and FIG. 81 shows output information.

[List of leaving members] is an analysis of leaving members by paying attention to "last purchase date" or "last visit date". A secession member represents a ghost member who has no actual purchase record and is not a member in practice. One of the challenges in the member information system is the deletion of the ever-increasing membership information.
Valuable information only adversely affects the response such as consumption and extraction of hardware resources. And
One of the above-not worthless information is considered to be information about a secession member. As a concrete measure, for the members extracted on the list, a method of erasing all the information on the members can be considered.

[0264] The feature of the above "partitioned member list" is that the "last visit to the store" in the present invention is taken into consideration. In a normal system, regarding a member whose "last purchase date" is a considerable past, the member is determined to be a leaving member. However, according to the present invention, the above-mentioned determination can be made from the “last visit date” in addition to the “last purchase date”. By the same mechanism,
It is possible to carefully judge whether a member who is visiting the store without a purchase record should be a leaving member.

82 to 84 are drawings relating to [Point-added decyl analysis]. 82 shows an input screen, and FIG.
Is an output screen, and FIG. 84 is a drawing showing output information.

[Point grant decile analysis] is an analysis of the balance of privilege granting status between "purchase grant points" and "store visit grant points". In the present invention, since the same points can be obtained only by visiting the store, there is a possibility that unfairness contrary to FSP may occur. Therefore, it is important to properly verify the set value of the number of store visit points from the same analysis.

The above is a description of the "totaling process" including the time calculating means (S11), the visitor judging means (S12), the customer demographic information calculating means (S13) and the customer purchasing analyzing means (S14).

The above is the description of the embodiment. Regarding the present invention, supplementary description will be made regarding portions that cannot be described in the above-described embodiments.

The information generation judging means (S02) uses 1 "condition concerning the installation location of the reading device", 2 "condition concerning the reading date and time", 3 "condition concerning the reading order by the plurality of the devices", 4 "store DB at the time of reading". Is a means for determining whether or not to generate the information regarding the consumption behavior according to one or more of the “conditions regarding the quantity or type of the information regarding the consumption behavior of the member stored in.”.

Here, the above 3 has been described in the embodiment. The following is an explanation of the case under conditions other than the above-mentioned 3.

Regarding the above item 1, for example, there is a method in which the information regarding the consumption behavior is generated only when the reading device installed at the entrance reads the point card, and is not generated in the case where the reading device installed at other places.

The above method can be implemented by specifying the reading device from the device unique value obtained by the information acquisition means (S01).

Regarding the above item 2, for example, there is a method in which the information regarding the consumption behavior is not generated during the special sale day and the time sale.

The above method can be carried out by judging whether or not the data was read at the relevant date and time from the read date and the read time obtained by the information acquisition means (S01).

With respect to the above item 4, as a first example, when the reading device installed at the exit reads the point card, at least two types of information regarding the consumption behavior (information when visiting the store is essential) exist in the store DB. When doing, there is a method of generating information on the consumption behavior (exit time information).

The above method can be carried out by identifying the corresponding member from the identification information obtained by the information acquisition means (S01) and retrieving the information on the consumption behavior related to the member on the store DB.

Regarding the above-mentioned 4, when the reading device installed in the store reads the point card as the second example, three pieces (records) of the same kind of consumption behavior (store information) already exist in the store DB. In doing so, there is a method of not generating more information (in-store information) regarding the consumption behavior (up to a maximum of 3).

The above method can be carried out by identifying the corresponding member from the identification information obtained by the information acquisition means (S01) and searching the store DB for the information regarding the consumption behavior related to the member.

The generation information selecting means (S03) uses the above condition 1 in the embodiment. The other conditions are the same as those of the information generation judging means (S02).

The store point calculation means (S07) uses the "point calculation condition information" in the embodiment. The condition information is information in which the above conditions 1 to 4 are specifically expressed in a table.

Similarly, a means for judging whether to give a store visit point (S0
8) uses "point giving condition information" in the embodiment. The addition condition information is information that specifically represents the above conditions 1 to 4 in a table.

For example, when calculating points at the cash register, the presence or absence of reading is checked at a total of 4 locations, the entrance and the store (3 locations),
There is a method to calculate the total points with 3 points at the entrance and 2 points inside the store. In this case, the "point calculation condition information" is the above condition 1
And the above condition 4 is combined.

Further, for example, when deciding whether or not points can be awarded at the cash register after the point calculation, the time difference between the entrance and the cash register is checked, and "when there is no reading at the entrance" and "when 60 minutes or more have passed" There is a method not to give. In this case, the “point giving condition information” is the above condition 1,
The table is a composite of Condition 2 and Condition 4.

Further, for example, in the case where the points are calculated and the determination as to whether or not the points can be given at the exit, in addition to the basic points of 3 points at the entrance and 2 points at the store, the reading order according to the customer guideline is further plus 2. There are a method of giving points and a method of judging whether points can be given or not depending on whether or not the points are read at the time of sale. In this case, the "point calculation condition information" is a table in which the above conditions 1, 3, and 4 are combined, and the "point giving condition information" is a table in which the above conditions 1 and 4 are combined.

FIGS. 85 to 98 are drawings showing, as an example, the installation location of the reading device when the present invention is applied to other business types other than the supermarket, using the floor layout and the like as in FIG. .

FIG. 85 and FIG. 86 are drawings showing the floor layout of a home center (abbreviated symbol, DIY) and the like. The entrance to the store is at two locations on the first floor (lower part of Fig. 85) and a rooftop parking lot (lower right part of Fig. 86). When the entrance and the exit of DIY etc. are common, the device A and the device C are installed in the same place.

Specialty stores (FIGS. 87 to 90), drug stores (FIG. 91), convenience stores (abbreviation, CV)
The same applies to S) (FIG. 92) and department stores (FIGS. 93 to 96).

[0288] Furthermore, in a shopping district (Fig. 97) or a shopping center (Fig. 98) instead of a single retail store,
The present invention is applicable.

The means included in the computer system according to the first to third aspects can be regarded as a plurality of functions performed by the computer. The “program” for specifying the function is described in claims 7 to 9.

[0290] That is, the computer is operated by the above-mentioned means (information acquisition means (S01), information generation determination means (S0).
2), generation information selection means (S03), information generation means (S
04), generation information storage means (S05), point calculation means (S06), store visit point calculation means (S07), point grant determination means (S08), point grant means (S0).
9), point carrying means (S10), time calculating means (S
11), a visitor discrimination means (S12), a customer lead information calculation means (S13), a customer purchase analysis means (S14), etc.).

Further, the means included in the computer system according to any one of claims 1 to 3 can be regarded as a procedure (step) connected in time series. Claims 4 to 6 are described as "method invention" in which the procedure is specified.

That is, in the point management and customer management method, each step (information acquisition step, point calculation step, point giving step, information generation step, generation information storage step, information generation determination step, generation information selection step, store visit point calculation) Step, point giving judgment step, point carry-over step, time calculation step, visitor discrimination step, customer lead information calculation step, customer purchase analysis step, etc.).

[Effects of the Invention] By collecting information about customers rather than the conventional purchaser and the number of purchasers, it is possible to measure information about customers who have exited without purchasing products, information about residence time in the store, and sales promotion effect measurement. New research and analysis useful for business strategy such as useful information and information on single item sales per unit number of visitors can be performed.

[Brief description of drawings]

FIG. 1 is a floor layout according to an embodiment of the present invention.

FIG. 2 is a system configuration diagram according to an embodiment of the present invention.

FIG. 3 is a flow chart of an embodiment of the present invention.

FIG. 4 is a flow chart for an embodiment of the present invention.

FIG. 5 is a flow chart for an embodiment of the present invention.

FIG. 6 is a flowchart related to an example of the present invention.

FIG. 7 is a flowchart related to an example of the present invention.

FIG. 8 is a flowchart related to an example of the present invention.

FIG. 9 is a flowchart related to an example of the present invention.

FIG. 10 is a DFD for an embodiment of the present invention.

FIG. 11 is a DFD for an embodiment of the present invention.

FIG. 12 is a DFD for an embodiment of the present invention.

FIG. 13 is a DFD for an embodiment of the present invention.

FIG. 14 is a DFD for an embodiment of the present invention.

FIG. 15 is a DFD for an embodiment of the present invention.

FIG. 16 is a list of information regarding an example of the present invention.

FIG. 17 is a detailed description of each means according to the embodiment of the present invention.

FIG. 18 is a detailed description of each means according to the embodiment of the present invention.

FIG. 19 is a detailed description of each means according to the embodiment of the present invention.

FIG. 20 is a detailed description of each means according to the embodiment of the present invention.

FIG. 21 is a detailed explanation of each means according to the embodiment of the present invention.

FIG. 22 is a detailed description of each means according to the embodiment of the present invention.

FIG. 23 is a detailed description of each means according to the embodiment of the present invention.

FIG. 24 is a detailed explanation of each means according to the embodiment of the present invention.

FIG. 25 is a detailed description of each means according to the embodiment of the present invention.

FIG. 26 is a detailed description of each means according to the embodiment of the present invention.

FIG. 27 is a detailed description of each means according to the embodiment of the present invention.

FIG. 28 is a detailed description of each means according to the embodiment of the present invention.

FIG. 29 is a detailed description of each means according to the embodiment of the present invention.

FIG. 30 is a detailed explanation of each means according to the embodiment of the present invention.

FIG. 31 is a detailed explanation of each means according to the embodiment of the present invention.

FIG. 32 is a flowchart relating to an example of the present invention.

FIG. 33 is a detailed explanation of each means according to the embodiment of the present invention.

FIG. 34 is a detailed description of each means according to the embodiment of the present invention.

FIG. 35 is a detailed description of each means according to the embodiment of the present invention.

FIG. 36 is a detailed description of each means according to the embodiment of the present invention.

FIG. 37 is a detailed description of each means according to the embodiment of the present invention.

FIG. 38 is a detailed explanation of each means according to the embodiment of the present invention.

FIG. 39 is a detailed description of each means according to the embodiment of the present invention.

FIG. 40 is a detailed description of each means according to the embodiment of the present invention.

FIG. 41 is a detailed description of each means according to the embodiment of the present invention.

FIG. 42 is a detailed description of each means according to the embodiment of the present invention.

FIG. 43 is a detailed description of each means according to the embodiment of the present invention.

FIG. 44 is a detailed description of each means according to the embodiment of the present invention.

FIG. 45 is a detailed description of each means according to the embodiment of the present invention.

FIG. 46 is a detailed description of each means according to the embodiment of the present invention.

FIG. 47 is a detailed description of each means according to the embodiment of the present invention.

FIG. 48 is a detailed description of each means according to the embodiment of the present invention.

FIG. 49 is a detailed description of each means according to the embodiment of the present invention.

FIG. 50 is a detailed description of each means according to the embodiment of the present invention.

FIG. 51 is a detailed description of each means according to the embodiment of the present invention.

52 is a detailed description of each means according to the embodiment of the present invention. FIG.

FIG. 53 is a detailed explanation of each means according to the embodiment of the present invention.

FIG. 54 is a detailed description of each means according to the embodiment of the present invention.

FIG. 55 is a detailed explanation of each means according to the embodiment of the present invention.

FIG. 56 is a detailed description of each means according to the embodiment of the present invention.

FIG. 57 is a detailed description of each means according to the embodiment of the present invention.

FIG. 58 is a detailed description of each means according to the embodiment of the present invention.

FIG. 59 is a detailed explanation of each means according to the embodiment of the present invention.

FIG. 60 is a detailed explanation of each means according to the embodiment of the present invention.

FIG. 61 is a detailed description of each means according to the embodiment of the present invention.

FIG. 62 is a detailed description of each means according to the embodiment of the present invention.

FIG. 63 is a detailed description of each means according to the embodiment of the present invention.

FIG. 64 is a detailed description of each means according to the embodiment of the present invention.

FIG. 65 is a detailed description of each means according to the embodiment of the present invention.

FIG. 66 is a detailed description of each means according to the embodiment of the present invention.

FIG. 67 is a detailed description of each means according to the embodiment of the present invention.

68 is a detailed description of each means according to the embodiment of the present invention. FIG.

FIG. 69 is a detailed description of each means according to the embodiment of the present invention.

FIG. 70 is a detailed description of each means according to the embodiment of the present invention.

71 is a detailed description of each means according to the embodiment of the present invention. FIG.

72 is a detailed description of each means according to the embodiment of the present invention. FIG.

FIG. 73 is a detailed description of each means according to the embodiment of the present invention.

FIG. 74 is a detailed description of each means according to the embodiment of the present invention.

FIG. 75 is a detailed description of each means according to the embodiment of the present invention.

FIG. 76 is a detailed description of each means according to the embodiment of the present invention.

77 is a detailed description of each means according to the embodiment of the present invention. FIG.

FIG. 78 is a detailed description of each means according to the embodiment of the present invention.

FIG. 79 is a detailed description of each means according to the embodiment of the present invention.

FIG. 80 is a detailed description of each means according to the embodiment of the present invention.

81 is a detailed description of each means according to the embodiment of the present invention. FIG.

82 is a detailed description of each means according to the embodiment of the present invention. FIG.

83 is a detailed description of each means according to the embodiment of the present invention. FIG.

FIG. 84 is a detailed description of each means according to the embodiment of the present invention.

FIG. 85 is a detailed description of each means according to the embodiment of the present invention.

FIG. 86 is a floor layout according to the present invention.

FIG. 87 is a floor layout according to the present invention.

FIG. 88 is a floor layout according to the present invention.

FIG. 89 is a floor layout according to the present invention.

FIG. 90 is a floor layout according to the present invention.

FIG. 91 is a floor layout according to the present invention.

FIG. 92 is a floor layout relating to the present invention.

FIG. 93 is a floor layout according to the present invention.

FIG. 94 is a floor layout according to the present invention.

FIG. 95 is a floor layout according to the present invention.

FIG. 96 is a floor layout according to the present invention.

FIG. 97 is a floor layout according to the present invention.

FIG. 98 is a floor layout according to the present invention.

[Explanation of symbols]

S01 Information acquisition means S02 Information generation judging means S03 Generation information selection means S04 Information generation means S05 Generation information storage means S06 point calculation means S07 Store visit point calculation means S08 point award determination means S09 Point giving means S10 point carry-over means S11 time calculation means S12 Store visitor identification means S13 Customer lead information calculation means S14 Customer purchasing analysis means

─────────────────────────────────────────────────── ─── Continuation of front page (51) Int.Cl. ⁷ Identification code FI theme code (reference) G06K 17/00 G06K 17/00 L 19/00 19/00 Q (54) [Title of invention] Point management and Computer system for customer management, point management and customer management method, program for point management and customer management method, and storage medium storing program for point management and customer management method

Claims (10)

[Claims] 1. Storage means for storing information about the member including identification information for identifying the registered member in a storage device and a storage medium for handing the registered member, information about goods purchased by the registered member, and the storage medium. Information acquisition means for acquiring the information stored in, the point calculation means for calculating the current service point based on a predetermined condition and adding the calculated current service point and the previous service point, A point giving means for giving points to a registered member, an information generating means for generating information on the consumption behavior of the member from the acquired information or the calculated information, and a generated information storing means for storing the generated information in the storage device, In a computer system for point management and customer management, comprising: When the storage medium is read by installing it at a plurality of locations in a target store, a target commercial facility, or a target section that implements management and customer management, the installation location of the device that has read the storage medium of the member, the member One of the date and time when the storage medium was read, the reading order of the storage medium of the member by a plurality of the devices, and the quantity or type of information regarding the consumption behavior of the member stored in the storage device at the time of reading. Information generation determination means for determining whether or not to generate information regarding consumption behavior related to the member according to the above conditions, and information generated from information regarding a plurality of types of consumption behavior according to one or more conditions. Generated information selection means for selecting a type, and a store visit point for calculating service points given to the member according to one or more conditions as store visit points Calculating means, point giving judgment means for judging whether or not to execute the point giving means according to one or more of the conditions, the store coming point is calculated, and the store coming point is calculated when not giving the coming point A computer system for point management and customer management, characterized in that it is provided with a point carry-over means for carrying over the store-visit points as unassigned points. 2. The information on the plurality of types of consumption behavior is information on the consumption behavior of the member when the member enters the target, and the consumption behavior of the member when the member exits from the target. The computer system for point management and customer management according to claim 1, which is information and information about consumption behavior of the member at a certain place in the target. 3. The computer system according to claim 1, further comprising: based on information regarding a plurality of types of consumption behavior of the member stored in the storage device.
A time calculation unit that calculates at least one of a residence time, a purchase required time, and a section travel time related to the member, and a storage device when a specific device among the plurality of installed reading devices reads the storage medium. A member who owns the medium is regarded as a visitor, and a visitor discrimination means for discriminating the visitor from the purchaser who is the member who purchased the product or service, and the information regarding the plurality of types of consumption behaviors, A computer system for point management and customer management, characterized by further comprising customer lead information calculation means for calculating customer lead information of members and customer purchase analysis means for analyzing the visitor. 4. A step in which a computer stores information about the member including identification information for identifying the registered member in a storage device and a storage medium for handing the registered member, and the computer relates to goods or services purchased by the registered member. Obtaining information and information stored in the storage medium;
A step of calculating a current service point based on a predetermined condition and adding the calculated current service point and a previous service point; and a step of giving the calculated point to the registered member by the computer. In the point management and customer management method, a computer generates information on consumption behavior of the member from the acquired information or the calculated information, and a computer stores the generated information in the storage device. When the device for reading the storage medium is installed at a plurality of locations in the target store, the target commercial facility, or the target section where the point management and the customer management are performed, and the storage medium is read, the computer is Installation location of the device that read the storage medium, the memory of the member One or more conditions of the date and time when the body is read, the reading order of the member's storage medium by a plurality of the devices, the number or type of information on the consumption behavior of the member stored in the storage device at the time of reading A step of determining whether to generate information about consumption behavior related to the member according to the above, and the computer selects a type of information to be generated from a plurality of types of information regarding consumption behavior according to one or more of the conditions. And a computer calculating service points to be given to the member as store visit points according to one or more of the conditions, and the computer executing the point giving means according to one or more of the conditions. Determining whether or not to do so, the computer calculates the store visit points and assigns the store visit points. Point management and customer management wherein said calculated carry forward steps visiting points as unassigned point that was added to the case have 5. The information on the plurality of types of consumption behavior is information on the consumption behavior of the member when the member enters the target, and the consumption behavior of the member when the member exits from the target. The point management and customer management method according to claim 4, wherein the information is information about consumption behavior of the member at a certain place in the object. 6. The method according to claim 4 or 5, further comprising: a computer based on information regarding a plurality of types of consumption behaviors of the member stored in the storage device.
Calculating at least one of a residence time, a purchase required time, and a section travel time regarding the member; and when the computer reads the storage medium by a specific device among the plurality of readers installed, A step of considering the member who owns the storage medium as a visitor and distinguishing the visitor from a purchaser who is a member who has purchased a product or service;
A point management and a customer management, wherein the computer adds a step of calculating customer lead information of the member based on the plurality of types of consumption behavior information and a step of analyzing the visitor. Method 7. A storage means for causing a computer to store information about the member, including identification information for identifying the registered member, in a storage device and a storage medium for handing the registered member, information on products purchased by the registered member, and services. An acquisition means for acquiring the information stored in the storage medium, and an award point calculation means for calculating a current service point based on a predetermined condition and adding the calculated current service point and the previous service point. , Point giving means for giving the calculated points to a registered member, information generating means for generating information on the consumption behavior of the member from the acquired information or the calculated information, and storing the generated information in the storage device for management. In the program for functioning as management means, the device that reads the storage medium is When the storage medium is read in a plurality of locations in a target store, a target commercial facility, or a target section that implements management and customer management, and a computer is installed, the installation location of the device that has read the storage medium of the member , The date and time when the storage medium of the member is read, the reading order of the storage medium of the member by a plurality of the devices, the quantity or type of information regarding the consumption behavior of the member stored in the storage device at the time of reading, Information generation determination means for determining whether to generate information on consumption behavior related to the member according to one or more conditions, and generation from information on a plurality of types of consumption behavior according to one or more conditions Generated information selecting means for selecting the type of information to be stored, and service points to be given to the member according to one or more of the conditions as store visit points. In the case where the store visit point calculation means for calculating the store visit point, the point giving determination means for determining whether to execute the point giving means according to one or more of the conditions, and the store visit point are calculated and the store visit point is not given And a point carry-over means for carrying over the calculated store visit points as non-granted points, as additional means. 8. The information on the plurality of types of consumption behavior is information on the consumption behavior of the member when the member enters the target, and the consumption behavior of the member when the member exits from the target. 8. The program according to claim 7, which is information and information about consumption behavior of the member at a certain place in the target. 9. The program according to claim 7, further comprising: based on information regarding a plurality of types of consumption behavior of the member stored in the storage device, a residence time regarding the member, A time calculation means for calculating at least one of a purchase required time and a section travel time, and when a specific device among the plurality of installed reading devices reads the storage medium, a member who owns the storage medium is identified. Based on the information regarding the purchaser who is regarded as a visitor and who is the member who purchased the product or service and the visitor, and the information regarding the plurality of types of consumption behaviors, the customer guideline information of the member is displayed. A program characterized by causing a customer lead information calculation means for calculating and a customer purchase analysis means for analyzing the visitor to function as additional means. 10. A computer-readable storage medium in which the program according to claim 7 is recorded.