JP2022085581A - System and method for providing sales recommendation to salesperson - Google Patents

Abstract

To provide a sales recommendation providing system which supports a salesperson who does not have much experience so as to give an appropriate sales recommendation.SOLUTION: A sales recommendation providing system 1 includes: a number specifying unit 61 which specifies a vehicle number from images captured by cameras 11-41; a customer database which records attribute information of customers; an attribute specifying unit 62 which specifies attribute information of a customer; and an output unit 64 which outputs, when the attribute information is input, a talking model suitable to the customer which is specified by inputting the specified attribute information to a learning model learned to specify one talking model suitable to a customer out of a plurality of talking models recorded on a talking model recording unit, to a salesperson terminal.SELECTED DRAWING: Figure 2

Description

The present invention relates to a system and a method for providing a sales proposal to a salesperson.

According to Patent Document 1 and the like, it is known to promote sales at service stations.

Japanese Patent No. 4038232

By the way, a veteran salesperson can look at a vehicle or person who has entered the store, remember what to recommend to the customer, and make an appropriate sales proposal. However, it is difficult for an inexperienced salesperson to make an appropriate sales proposal.
Therefore, an object of the present invention is to provide a sales proposal providing system and a method thereof that support an inexperienced salesperson to make an appropriate sales proposal.

In order to achieve the above object, according to the present invention,
It is a sales proposal provision system that provides sales proposals to customers to sales staff of service stations that sell fuel oil.
A voice model recording unit that records a plurality of voice models that instructs the sales staff which product to sell at the service station is to be promoted.
A camera that captures the license plate of the vehicle,
A number specifying unit that identifies the vehicle number of the vehicle from the image captured by the camera, and
A customer information recording unit that records a customer database that records attribute information including at least customer visit frequency and refueling history,
Using the customer database, an attribute specifying unit that specifies the attribute information of the customer corresponding to the specified vehicle number, and
When the attribute information is input, a learning model trained to specify one of the voice models suitable for the customer is recorded among the plurality of voice models recorded in the voice model recording unit. With the learning model recording section
Providing a sales proposal to a salesperson provided with an output unit that outputs the voice-calling model suitable for the customer to the salesperson terminal, which is specified by inputting the attribute information specified by the attribute identification unit into the learning model. The system is provided.

In order to achieve the above object, according to the present invention,
A sales proposal for a sales proposal providing system having a memory for recording a computer-readable instruction and an information processing device for executing the computer-readable instruction to provide a sales proposal to a customer of a service station salesperson who sells fuel oil. It ’s a way of providing
The sales proposal provision system is
A voice model recording unit that records a plurality of voice models that instructs the sales staff which product to sell at the service station is to be promoted.
A camera that captures the license plate of the vehicle,
A number specifying unit that identifies the vehicle number of the vehicle from the image captured by the camera, and
A customer information recording unit that records a customer database that records attribute information including at least the customer's visit frequency and refueling history, and
When the attribute information is input, a learning model trained to specify one of the voice models suitable for the customer is recorded among the plurality of voice models recorded in the voice model recording unit. It has a learning model recording unit and
The sales proposal providing method is applied to the sales proposal providing system.
Using the customer database, the attribute information of the customer corresponding to the vehicle number specified by the number specifying unit is specified.
The specified attribute information is input to the learning model, and the voice model suitable for the customer is output.
A method of providing a sales proposal to a salesperson is provided, in which the voice model output from the learning model is output to the salesperson terminal.

INDUSTRIAL APPLICABILITY According to the present invention, a sales proposal providing system and a method thereof are provided to assist an inexperienced salesperson to make an appropriate sales proposal.

It is a whole system block diagram in a service station. It is a block diagram of a sales proposal provision system. It is a flowchart of the process executed by the sales proposal system. This is an example of a customer database. This is an example of a list of voice models. This is an example of teacher data for a voice learning model. It is a flowchart of the process performed in the new customer registration process. This is an example of a sales database.

The sales proposal providing system (hereinafter referred to as a providing system) of the present embodiment provides a sales proposal to a customer to a salesperson of a service station that sells fuel oil. The provision system described below identifies the vehicle number of the vehicle that has visited the service station, identifies what kind of customer the vehicle is based on, and how the salesperson responds to this customer. Provide instructions to the sales staff.

FIG. 1 is an overall system block diagram in a service station having the sales proposal providing system (hereinafter referred to as providing system 1) of the present invention. As shown in FIG. 1, the service station is provided with a first refueling lane 10, a second refueling lane 20, a kerosene lane 30, and a car wash lane 40.

In the first refueling lane 10, fuel oil such as regular gasoline is supplied to the vehicle. A first camera 11, a first refueling machine 12, and a first POS terminal 13 (payment terminal) are installed in the first refueling lane 10.
The first refueling machine 12 supplies fuel to the customer's vehicle and counts the quantity of the supplied fuel oil. The first refueling machine 12 includes a refueling nozzle, a measuring instrument, and the like.

The first POS terminal 13 is a device that requests a customer to pay money and makes a payment according to the type and quantity of fuel oil refueled by the first refueling machine 12. The first POS terminal 13 includes an operation unit operated by a customer who refuels, a display unit for displaying a payment amount, and a money receiving unit for accepting cash or a credit card.
The first POS terminal 13 outputs sales data including the type, quantity, and sales date and time of the supplied fuel oil. Further, in the present embodiment, the first POS terminal 13 also includes the POSID (POS identification information) used for distinguishing from other POS in the sales data and outputs the data.

The first camera 11 photographs the license plate of the vehicle to be refueled in the first refueling lane 10. The first camera 11 outputs an image acquired by the first camera 11 together with a camera ID (camera identification information) indicating that the first camera 11 has taken a picture. The first camera 11 of the present embodiment constantly captures images and continuously outputs captured images.

In the second refueling lane 20, fuel oil is supplied in the same manner as in the first refueling lane 10. Similar to the first refueling machine 12, the second refueling lane 20 is also provided with the second camera 21, the second refueling machine 22, and the second POS terminal 23. Since the configurations of the camera, the refueling machine, and the POS are the same as those of the respective devices installed in the first refueling lane 10, detailed description thereof will be omitted.

In the kerosene lane 30, kerosene is supplied to the customer. Similar to the first refueling lane 10, the kerosene lane 30 is also provided with a third camera 31, a kerosene refueling machine 32, and a third POS terminal 33. A parking space is provided in front of the kerosene refueling machine 32, and the third camera 31 photographs the license plate of the customer's vehicle that parks in this parking space and purchases kerosene.

In the car wash lane 40, a car wash service is provided to the customer. Similar to the first refueling lane 10, the car wash lane 40 is also provided with a fourth camera 41, a car wash machine 42, and a fourth POS terminal 43. The fourth camera 41 photographs the license plate of the vehicle entering the car wash machine 42. The fourth POS terminal 43 makes a payment at a charge according to the car wash course set in the car wash machine 42.

The first to fourth cameras 11 to 41 and the first to fourth POS terminals 13 to 43 are communicably connected to the management server 60. The first to fourth cameras 11 to 41, the first to fourth POS terminals 13 to 43, and the management server 60 may be connected by wire or wirelessly. The management server 60 includes a memory for recording computer-readable instructions and an information processing device for executing computer-readable instructions.

FIG. 2 is a system block diagram of the provided system 1. As shown in FIG. 2, the providing system 1 includes first to fourth cameras 11 to 41, first to fourth POS terminals 13 to 43, a management server 60, and a salesperson terminal 70. ..

The salesperson terminal 70 is a portable terminal such as a mobile phone or a tablet terminal carried by a salesperson, and includes a display unit. Alternatively, the salesperson terminal 70 is a display that can be seen by a salesperson hung on the wall of a service station, for example, a store.

The management server 60 includes a number specifying unit 61, an attribute specifying unit 62, a voice model specifying unit 63, an output unit 64, a data server 65, and an updating unit 66. The data server 65 records a customer database, a learning model, a voice model list, and a sales database, which will be described in detail later.

The number specifying unit 61 identifies the vehicle number of the vehicle license plate from the images taken by the first camera 11 to the fourth camera 41, and outputs shooting data including the specified vehicle number and the shooting date / time or the specific date / time.
The number specifying unit 61 acquires image data and a shooting date and time from the first camera 11 to the fourth camera 41. The number specifying unit 61 analyzes the image data to specify the vehicle number. When a vehicle appears in the image continuously output from the first camera 11, the number specifying unit 61 identifies the vehicle number and outputs the specified vehicle number. Also, if the same vehicle continues to exist in the image or if the vehicle does not exist in the image, the vehicle number is not output.

FIG. 3 is a flowchart of the process executed by the output unit 64 of the acquisition system. As shown in FIG. 3, first, the output unit 64 determines whether or not the vehicle number is specified from the number specifying unit 61 (step S01). If the vehicle number is not output from the number specifying unit 61 (step S01: No), the output unit 64 ends the process. In this case, the output unit 64 executes the process of FIG. 3 again after a predetermined time has elapsed, for example, after 1 second.

If the vehicle number is output from the number specifying unit 61 (step S01: Yes), the output unit 64 determines whether or not the vehicle number is registered in the customer database (step S02). If the vehicle number is not registered in the customer database (step S02: No), the output unit 64 performs a new customer registration process described later (step S06).

FIG. 4 shows an example of a customer database. As shown in FIG. 4, attribute information is recorded in the customer database in association with the vehicle number. As the attribute information, the vehicle type of the customer's vehicle, the customer's gender, age, frequency of visits, frequency of visits on special sale dates, previous visit dates, and various purchase histories are recorded. As a purchase history, the number of purchase opportunities for products such as fuel oil, wipers, tires, car washes, vehicle inspections, and vehicle leasing is recorded on a five-point scale. The higher the number, the higher the number of purchase opportunities, and the smaller the number, the lower the number of purchase opportunities. Further, in the illustrated example, the frequency of visits to the store and the frequency of visits on special sale days are also represented by a five-level evaluation. The higher the number, the higher the frequency of visits, and the smaller the number, the lower the frequency of visits. The attribute information shown in FIG. 4 is merely an example. The provision system 1 may include at least the customer's visit frequency and refueling history as attribute information.

Returning to FIG. 3, if the vehicle number is registered in the customer database (step S02: Yes), the output unit 64 causes the attribute specifying unit 62 to specify the attribute information associated with the vehicle number (step S03). ). For example, when the number specifying unit 61 specifies the vehicle number "Shinagawa 1234", the output unit 64 reads out the attribute information corresponding to the vehicle number "Shinagawa 1234" to the attribute specifying unit 62 based on the customer database.

Further, the output unit 64 inputs the read attribute information to the voice model by the voice model identification unit 63, and causes the voice model identification unit 63 to specify a suitable voice model (step S04). FIG. 5 is an example of a list of voice-calling models output by the output unit 64 to the salesperson terminal 70. As shown in FIG. 5, the output unit 64 proposes to the customer any one of services such as vehicle leasing, vehicle inspection, tire replacement, battery replacement, and engine oil replacement. Further, each voice model has an A to H voice ID (identification information). The present invention is not limited to the voice-calling model shown in FIG. 5, and is configured to propose other voice-calling models such as wiper replacement and mat cleaning in addition to the services shown in FIG. It may have been done.

By inputting the attribute information read by the attribute specifying unit 62 into the voice learning model, the voice model specifying unit 63 selects one voice model suitable for the customer from the voice models shown in FIG. Identify. The voice model specifying unit 63 reads the voice learning model from the data server 65, and inputs the attribute information into the voice learning model.

The voice learning model is a program generated by a kind of machine learning, and is configured to output a suitable voice model when the attribute information of a customer who visits the store is input. The voice learning model can be generated using techniques such as decision trees, neural networks, and support vector machines.

For example, the voice learning model can be generated by inputting the teacher data shown in FIG. This teacher data is actual data of innumerable sales proposals made at service stations in the past. As shown in Fig. 6, attributes such as customer gender, age, frequency of visits, frequency of visits to fuel oil special sale days, number of days since the last visit date, vehicle type, purchase history of various products, and area to which the service station visited Information, the time zone (morning, noon, night) when the call was made, the proposed call, the success or failure of the call, etc. Some of the items contained in the teacher data match the attribute information in the customer database.

When the attribute information of the vehicle number "Shinagawa 1234" is input to the voice call model generated in this way, the voice call model specifying unit 63 proposes, for example, a voice call ID: A (lease). The output unit 64 acquires the voice ID: A from the voice model identification unit 63 and outputs the voice ID: A to the salesperson terminal 70.

The output unit 64 outputs a voice model suitable for the customer specified by the voice learning model to the salesperson terminal 70. When the salesperson terminal 70 acquires the voice call model, it displays it. As a result, the salesperson can make a sales promotion proposal suitable for the customer even if he / she does not have knowledge about the customer.

As described above, the sales proposal providing system 1 of the present embodiment provides a sales proposal to the customer to the salesperson of the service station that sells the fuel oil.
The sales proposal provision system 1 is
A voice model recording unit (data server 65) that records a plurality of voice models that instructs the sales staff which product to sell at the service station is to be promoted.
Cameras 11 to 41 that capture the license plate of the vehicle,
The number specifying unit 61 that identifies the vehicle number of the vehicle from the images captured by the cameras 11 to 41, and
A customer information recording unit (data server 65) that records a customer database that records attribute information including at least the customer visit frequency and refueling history, and
Using the customer database, the attribute specifying unit 62 that specifies the attribute information of the customer corresponding to the specified vehicle number, and
When the attribute information is input, the learning model recording unit in which the learning model trained to specify one voice model suitable for the customer is recorded among the plurality of voice models recorded in the voice model recording unit. (Data server 65) and
It is provided with an output unit 64 that inputs the attribute information specified by the attribute specifying unit 62 into the learning model and outputs the voice model suitable for the customer to the salesperson terminal 70.

The method of providing the sales proposal of this embodiment is
A sales proposal for a sales proposal providing system 1 having a memory for recording a computer-readable instruction and an information processing device for executing a computer-readable instruction to provide a sales proposal to a customer of a service station salesperson who sells fuel oil. It is a provision method.
The sales proposal provision system 1 is
A voice model recording unit (data server 65) that records a plurality of voice models that instructs the sales staff which product to sell at the service station is to be promoted.
Cameras 11 to 41 that capture the license plate of the vehicle,
The number specifying unit 61 that identifies the vehicle number of the vehicle from the images captured by the cameras 11 to 41, and
A customer information recording unit (data server 65) that records a customer database that records attribute information including at least the customer visit frequency and refueling history, and
When the attribute information is input, the learning model recording unit in which the learning model trained to specify one voice model suitable for the customer is recorded among the plurality of voice models recorded in the voice model recording unit. (Data server 65) and
For the sales proposal provision method, refer to the sales proposal provision system 1.
Using the customer database, the customer attribute information corresponding to the vehicle number specified by the number specifying unit 61 is specified.
Input the specified attribute information into the learning model and output a voice model suitable for the customer.
The voice model output from the learning model is output to the salesperson terminal 70.

A salesperson who has been working at a service station for a long time knows customers who visit the store frequently or who prefer a specific product or service, and can make appropriate sales proposals to such customers. .. On the other hand, inexperienced sales staff cannot make appropriate sales proposals because they do not have such knowledge, and may miss sales opportunities. However, according to the provision system 1 and the proposal method of the present embodiment, the salesperson is notified of the most suitable voice model for the customer who visits the store, so that even an inexperienced salesperson can make an appropriate sales proposal. ..

FIG. 7 is a flowchart of the process executed in the new customer registration process. As shown in FIG. 3, the new customer registration process (step S06) is executed when the vehicle number is not registered in the customer database (step S02: No). The output unit 64 causes the update unit 66 (see FIG. 2) to execute the new customer registration process. The new customer registration process is configured to be executed promptly after it is determined that the vehicle number is not registered in the customer database (step S02: No).

As shown in FIG. 2, the management server 60 includes a sales database creation unit 67. A sales database is recorded in the data server 65. The sales database creation unit 67 outputs sales data including the type, quantity, and sales date and time of the supplied fuel oil from the POS terminal, acquires POSID (identification information of the POS terminal), and sequentially obtains these in FIG. You are adding to the sales database as shown.

When the new customer registration process is executed, the update unit 66 first acquires the vehicle number, the specific date and time, and the camera ID from the number specifying unit 61 (step S11). As described above, the cameras 11 to 41 output the camera ID. The number specifying unit 61 outputs the camera ID acquired from the cameras 11 to 41 to the updating unit 66.

The update unit 66 specifies the sales data of the POSID corresponding to the camera ID and the sales date and time within the predetermined time from the specific date and time from the sales database (step S12). The predetermined time is set, for example, between 5 minutes and 15 minutes. For example, it is assumed that the update unit 66 has acquired the specific date and time "November 16, 2020 10:30:31", the camera ID "A", and the vehicle number "Shinagawa 3456" from the number identification unit 61. In this case, the update unit 66 specifies the sales data of the POSID "A" and the slip number "P168748" of the sales date and time "November 16, 2020 10:31:51" from the sales database.

The update unit 66 adds a vehicle number to the specified sales data and updates the sales database (step S13). Further, the update unit 66 adds and updates the specified vehicle number and the specified sales data as a purchase history to the customer database (step S14). That is, the update unit 66 adds and updates the vehicle number "Shinagawa 3456" and the sales data related to the vehicle number "Shinagawa 3456" added to the sales database to the customer database as a purchase history. In this way, the vehicle number "Shinagawa 3456" is added to the customer database as a new customer.

Although the embodiments of the present invention have been described above, it goes without saying that the technical scope of the present invention should not be construed as being limited by the description of the present embodiments. It is understood by those skilled in the art that the present embodiment is merely an example, and various embodiments can be modified within the scope of the invention described in the claims. The technical scope of the present invention should be determined based on the scope of the invention described in the claims and the equivalent scope thereof.

In the above-described embodiment, when the number specifying unit 61 specifies a vehicle number that is not registered in the customer database, the output unit 64 performs only the new customer registration process and does not make a proposal to the sales staff. As described above, the present invention is not limited to this. When the number specifying unit 61 identifies a vehicle number that is not registered in the customer database, the output unit 64 may be configured to notify the salesperson terminal 70 that it is a new customer. Alternatively, when the number specifying unit 61 identifies a vehicle number that is not registered in the customer database, the output unit 64 is configured to propose a predetermined voice model such as a first-time limited discount on fuel oil. You may.

Further, in the above-described embodiment, when the number specifying unit 61 specifies a vehicle number that is not registered in the customer database, the output unit 64 has described an example of executing a new customer registration process. Not limited to. When the number specifying unit 61 identifies a vehicle number that is not registered in the customer database, it is not necessary to perform the new customer registration process. The salesperson may be configured to manually register new customers in the customer database. Alternatively, when the number specifying unit 61 identifies a vehicle number that is not registered in the customer database, the updating unit 66 refers to the vehicle number provided by the Ministry of Land, Infrastructure, Transport and Tourism and the database provided with the next vehicle inspection deadline. However, it may be configured to be added to the customer database together with this information.

Further, in the above-described embodiment, the configuration in which the camera outputs the camera ID has been described, but the present invention is not limited to this example. For example, when the management server 60 is connected to the first camera 11 via the first port, the first camera 11 does not have to output the camera ID. This is because the management server 60 can recognize that the information input from the first port is the output of the first camera 11.

1 Providing system (sales proposal providing system)
10 1st refueling lane 11 1st camera 11 Camera 12 1st refueling machine 13 1st to 4th POS terminals 13 1st POS terminal 20 2nd refueling lane 21 2nd camera 22 2nd refueling machine 23 2nd POS terminal 30 Kerosene Lane 31 Third camera 32 Kerosene refueling machine 33 Third POS terminal 40 Car wash lane 41 Fourth camera 42 Car wash machine 43 Fourth POS terminal 60 Management server 61 Number specification unit 62 Attribute specification unit 63 Model specification unit 64 Output unit 65 Data server 66 Update Department 67 Sales Database Creation Department 70 Salesperson Terminal

Claims (2)

It is a sales proposal provision system that provides sales proposals to customers to sales staff of service stations that sell fuel oil.
A voice model recording unit that records a plurality of voice models that instructs the sales staff which product to sell at the service station is to be promoted.
A camera that captures the license plate of the vehicle,
A number specifying unit that identifies the vehicle number of the vehicle from the image captured by the camera, and
A customer information recording unit that records a customer database that records attribute information including at least customer visit frequency and refueling history,
Using the customer database, an attribute specifying unit that specifies the attribute information of the customer corresponding to the specified vehicle number, and
When the attribute information is input, a learning model trained to specify one of the voice models suitable for the customer is recorded among the plurality of voice models recorded in the voice model recording unit. With the learning model recording section
Providing a sales proposal to a salesperson provided with an output unit that outputs the voice-calling model suitable for the customer to the salesperson terminal, which is specified by inputting the attribute information specified by the attribute identification unit into the learning model. system. A sales proposal for a sales proposal providing system having a memory for recording a computer-readable instruction and an information processing device for executing the computer-readable instruction to provide a sales proposal to a customer of a service station salesperson who sells fuel oil. It ’s a way of providing
The sales proposal provision system is
A voice model recording unit that records a plurality of voice models that instructs the sales staff which product to sell at the service station is to be promoted.
A camera that captures the license plate of the vehicle,
A number specifying unit that identifies the vehicle number of the vehicle from the image captured by the camera, and
A customer information recording unit that records a customer database that records attribute information including at least the customer's visit frequency and refueling history, and
When the attribute information is input, a learning model trained to specify one of the voice models suitable for the customer is recorded among the plurality of voice models recorded in the voice model recording unit. It has a learning model recording unit and
The sales proposal providing method is applied to the sales proposal providing system.
Using the customer database, the attribute information of the customer corresponding to the vehicle number specified by the number specifying unit is specified.
The specified attribute information is input to the learning model, and the voice model suitable for the customer is output.
A method of providing a sales proposal to a salesperson by outputting the voice model output from the learning model to a salesperson terminal.

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