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WO2018112527A1 - Système de commerce électronique - Google Patents

Système de commerce électronique Download PDF

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Publication number
WO2018112527A1
WO2018112527A1 PCT/AU2017/051420 AU2017051420W WO2018112527A1 WO 2018112527 A1 WO2018112527 A1 WO 2018112527A1 AU 2017051420 W AU2017051420 W AU 2017051420W WO 2018112527 A1 WO2018112527 A1 WO 2018112527A1
Authority
WO
WIPO (PCT)
Prior art keywords
commerce
data
commerce system
encoding
computer readable
Prior art date
Application number
PCT/AU2017/051420
Other languages
English (en)
Inventor
Adam Bouris
Ryan Bouris
Original Assignee
Adam Bouris
Ryan Bouris
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Priority claimed from AU2016905267A external-priority patent/AU2016905267A0/en
Application filed by Adam Bouris, Ryan Bouris filed Critical Adam Bouris
Publication of WO2018112527A1 publication Critical patent/WO2018112527A1/fr

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/06—Buying, selling or leasing transactions
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K19/00—Record carriers for use with machines and with at least a part designed to carry digital markings
    • G06K19/06—Record carriers for use with machines and with at least a part designed to carry digital markings characterised by the kind of the digital marking, e.g. shape, nature, code
    • G06K19/06009—Record carriers for use with machines and with at least a part designed to carry digital markings characterised by the kind of the digital marking, e.g. shape, nature, code with optically detectable marking
    • G06K19/06037—Record carriers for use with machines and with at least a part designed to carry digital markings characterised by the kind of the digital marking, e.g. shape, nature, code with optically detectable marking multi-dimensional coding
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K19/00—Record carriers for use with machines and with at least a part designed to carry digital markings
    • G06K19/06—Record carriers for use with machines and with at least a part designed to carry digital markings characterised by the kind of the digital marking, e.g. shape, nature, code
    • G06K19/06009—Record carriers for use with machines and with at least a part designed to carry digital markings characterised by the kind of the digital marking, e.g. shape, nature, code with optically detectable marking
    • G06K19/06046—Constructional details
    • G06K19/06103—Constructional details the marking being embedded in a human recognizable image, e.g. a company logo with an embedded two-dimensional code
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/20—Image preprocessing
    • G06V10/22—Image preprocessing by selection of a specific region containing or referencing a pattern; Locating or processing of specific regions to guide the detection or recognition
    • G06V10/225—Image preprocessing by selection of a specific region containing or referencing a pattern; Locating or processing of specific regions to guide the detection or recognition based on a marking or identifier characterising the area

Definitions

  • This invention relates generally to an e-commerce system and more particularly to an e- commerce system suited for mobile devices.
  • Mobile devices are increasingly being used by consumers for e-commerce purchases with an estimated 43% of e-commerce purchases presently being conducted via mobile devices. It is expected that the majority of online sales will be conducted utilising mobile devices by 2021.
  • the present invention seeks to provide an e-commerce system specifically suited for mobile devices which, inter alia, may allow the mobile device to reduce the time required of an e-commerce checkout process.
  • an e-commerce system configured for facilitating e-commerce purchasing on mobile devices by facilitating the provision and usage of e-commerce parametric data embedded within images for reducing the data entry and checkout times.
  • the e-commerce parametric data embeds pricing array data allowing the mobile device to instantaneously calculate a dynamic purchase price at the client-side according to at least one user specific parameter (relating to shipping costs, applicable taxes, user preferences and the like) thereby reducing checkout pricing uncertainty.
  • Dl teaches the embedding of a pixel representation of a unique identifier within an image. As such, Dl necessarily requires time consuming remote server calls (para. 44 of Dl) to obtain extra data which increase the shopping cart abandonment for the reasons given above. Further Dl does not recognise problems of reducing checkout times let alone the problem of remote server call time delay.
  • Dl fails to disclose or suggest the embedding of pricing array data within images for the instantaneous client-side calculation of a dynamic purchase price. Dl does not recognise the problems or solutions associated with of client-side dynamic pricing calculation using embedded pricing array data.
  • US 2016/0105482 Al (INTERNATIONAL BUSINESS MACHINES CORPORATION) 14 April 2016 [hereinafter referred to as D2] discloses embedding meta data within a screen capture image for the reproduction of the source environment on a recipient device.
  • location, URL information and the like may be transmitted along with a screen capture so as to allow the recipient to ascertain the location, web resource or the like associated with the screen capture.
  • D2 is however not an e-commerce system and is furthermore not directed to problems or solutions associated with reducing checkout times, client side dynamic purchase price calculations and the like.
  • Figure 1 shows a mobile communication device in accordance with an embodiment
  • Figure 2 shows an e-commerce system in accordance with an embodiment
  • Figure 3 shows an e-commerce parametric data encoding comprising pricing array data in accordance with an embodiment
  • Figure 4 shows exemplary processing by a first mobile communication device within the system of Figure 2;
  • Figure 5 shows example reprocessing by a second mobile communication device within the system of Figure 2;
  • Figure 6 shows an exemplary interface for the embedding of e-commerce parametric data within image in accordance with an embodiment
  • Figure 7 shows an exemplary image comprising a computer readable pixel encoding therein
  • Figures 8 and 9 show the concealment of computer readable excellent coatings within background regions of images in accordance with an embodiment
  • Figure 10 shows the browsing of images served by a web resource wherein the mobile communication device dynamically identifies the computer readable pixel encoding within at least one image so as to dynamically display a dynamic purchase price;
  • Figure 11 shows an exemplary interface displaying e-commerce parametric data for a plurality of e-commerce products encoded within an image, including extra e-commerce parametric data which may be retrieved from a server in accordance with an embodiment
  • Figure 12 shows an exemplary interface for confirming an e-commerce transaction in accordance with an embodiment.
  • Figure 1 shows a computing device 100 preferably taking the form of a mobile communication device.
  • the mobile communication device 100 comprises a processor 101 for processing digital data.
  • a memory device 108 In operable communication with the processor 101 across a system bus is a memory device 108.
  • the memory device 108 is configured for storing digital data including computer program code instructions.
  • the processor 101 fetches these computer program code instructions from the memory device 108 for interpretation and execution.
  • the device 100 may comprise a display device 103 in operable communication with the processor 101 for the display of digital data thereon.
  • the haptic touch controller 104 may be overlaid the display device 103 for the receipt of user gestures in relation to the digital data displayed thereby.
  • the device 100 may further comprise a wireless processor 105 for sending and receiving data across a data network including cellular data networks.
  • the device 100 may comprise a power controller 106 for powering the processor 101 and associated componentry.
  • the device 100 may further comprise a GPS processor 107 in operable communication with the processor 101 for receiving GPS location data.
  • the device 100 may further comprise image sensors 102 in operable communication with the processor 101 for capturing image and/or video data.
  • the memory device 108 may comprise a checkout controller 109 and associated user data 111 configured for implementing the e-commerce checkout process described hereunder.
  • the memory device 108 may further comprise an image authoring controller 110 configured for embedding computer readable e-commerce parametric data 112 within image data in the manner described hereunder.
  • the memory device 108 may further comprise a payment controller 113 and associated payment instrument data 114 for processing payment for e-commerce transactions in the manner described herein.
  • Figure 2 shows an exemplary computer network 200 comprising a plurality of computer devices in operable communication across a wide area network 204, such as the Internet.
  • the network 200 comprises a plurality of mobile communication devices 100 referred to herein for illustrative convenience as comprising a seller mobile communication device 100 and a purchaser mobile communication device 100.
  • the seller mobile communication device 100 may be configured for receiving e-commerce parametric data for at least one e-commerce product, generating an encoding of the e-commerce parametric data and embedding a computer readable pixel encoding of the data encoding within an image loaded or captured by the device.
  • Image data having the computer readable pixel encoding therein may then be communicated to an image sharing platform 203 or other mobile device 100 such as by way of upload, push notification, email, in-app communication or the like.
  • the purchaser mobile communication device 100 may browse a plurality of images of a web resource served by the image sharing platform 203.
  • the purchaser mobile communication device 100 may detect the computer readable pixel encoding within an image of the web resource and decode the computer readable pixel encoding to obtain the encoding. The purchaser mobile device 100 may then interpret the encoding to extract the e-commerce product data and, in a preferred embodiment, associated pricing array data for at least one e-commerce product.
  • the purchaser mobile device 100 is able to calculate, without making a remote server call, a dynamic purchase price according to the pricing array data and at least one user specific parameter, thereby reducing e-commerce processing timeframes and associated shopping cart abandonment.
  • Such methodology may also allow the purchaser mobile communication device 100 to dynamically calculate e-commerce product pricing data when in off-line mode.
  • Figure 3 illustrates an exemplary e-commerce metadata data encoding 300 encoded within the computer readable data in accordance with an embodiment.
  • the encoding 300 may comprises at least one product ID or information uniquely representing an e-commerce product.
  • the product ID may comprise a SKU code.
  • Product information may include a product name, short product description and the like.
  • the encoding 300 may comprise pricing array data 304 allowing the purchaser mobile communication device 100 to calculate dynamic prising of the relevant e-commerce product according to at least one user specific parameter.
  • the pricing array data 304 may comprise product option pricing array data 305 allowing for the dynamic calculation of a purchase price according to various e- commerce options and user specific parameters.
  • the pricing array data 304 may comprise product shipping pricing array data 306 for the dynamic calculation of a purchase price according to shipping costs and user specific parameters.
  • the encoding 300 further comprises a seller ID 301 identifying a user account associated with the seller mobile communication device 100.
  • the encoding 300 may comprise a product data URL 303 for the making of remote server calls to the server 202 for the retrieval of extra e-commerce product data from a data store 301 if required.
  • the encoding 300 may comprise XY image coordinates 307 corresponding to the location of various e-commerce product regions within the image data.
  • the computer readable pixel encoding is a 2-D barcode, which may include PDF417, Data Matrix, Maxicode, QR Code, Data Code, Code 49, Code 16K, Aztec Code, DataGlyphs, Codablock, Color Construct Code, High Capacity Color Barcode, HueCode or WaterCode formats.
  • QR Codes the maximum storage capacity of a QR code depends on datatype, pixel density and error correction level.
  • a typical maximum size at the lowest error correction and comprise 7089 numeric characters or 4296 alphanumeric characters.
  • seller mobile communication device 100 is configured for generating the encoding 300 with less than a specified threshold of characters.
  • Appendix A shows exemplary encoding 300 presented in JSON format for a swimsuit product comprising a bikini top and bottom which comprises 1089 characters.
  • an image may encode about eight e-commerce products.
  • the encoding 300 comprises a seller ID for uniquely identifying a seller account having a seller ID 18762.
  • each product similarly comprises a product ID and information including a product name and short description.
  • each product may have an associated URL for the retrieval of extra data from the server 202 if required.
  • the encoding 300 encodes options pricing array data for sizing and colour. As can be seen, purchase pricing is provided for small, medium and large. Furthermore, offset pricing is provided for colours wherein, for example, black may be ordered at no additional cost whereas white incurs an additional cost of $10.
  • Shipping pricing array data may also be included which may include an origin of the seller.
  • the purchaser mobile communication device 100 is able to compare the origin GPS coordinates of the seller (or prestored user provided address data) so as to be able to calculate the distance between the purchaser and the seller so as to be able to categorise the shipping costs as being local, interstate or international.
  • interstate deliveries comprise an additional costing of $12 whereas international deliveries comprise an additional costing $48.
  • XY coordinate data may be provided representing e-commerce product regions (which may comprise XY coordinates and width and height) within the image data which may be utilised for identifying various regions within the image data and displaying informational pop-ups adjacent respective regions.
  • Figure 4 illustrates exemplary processing 400 conducted by the seller mobile communication device 100
  • Figure 5 illustrates exemplary processing 500 conducted by the purchaser mobile communication device 100.
  • the processing 400 comprises the user downloading and installing a software application to the seller mobile communication device 100.
  • the software application may comprise both the checkout controller 109 and image authoring controller 110 so as to allow user functionality from the perspective of both the seller and the purchaser.
  • the process may further comprise user configuration 402 wherein the seller provides various requisite data such as location data, selling terms and conditions, payment receipt accounts and the like.
  • Figure 6 illustrates an exemplary user interface 600 controlled by the image authoring controller 110.
  • the user captures an image using the image sensors 102 of the mobile device 100 or loads an image 601 locally from the memory 108 or remotely from an image web resource.
  • the user is able to configure at least one e-commerce product.
  • step 405 the user may specify XY coordinates representing various regions
  • the image 601 may show a person wearing a bikini and therefore the regions 602 relate to the bikini top and bottoms.
  • the user may utilise haptic gestures on the touch controller 104 to draw rectangles around the relevant regions on the image.
  • the user may upload or select extra image data 603 relating to the e-commerce products and, at step 407, provide various e-commerce parametric data 604.
  • Such process may be repeated to add further e-commerce products.
  • the sizing constraints of the embedded data may allow up to about eight e-commerce products to be embedded within the image 601.
  • step 408 a computer readable pixel encoding of encoding 300 is generated and embedded.
  • the interface 600 may show dynamic input restrictions should the size of the generated data exceed the sizing threshold. For example, where the user provides eight e-commerce products, the user may be restricted from providing e-commerce product descriptions that would cause the generated data to exceed the specified threshold limit.
  • Figure 7 shows the image data 601 comprising the computer readable pixel encoding 702 at the bottom left-hand corner of the image.
  • the pixel encoding 702 may be blended within image regions.
  • figures 8 and 9 show the blending of the computer readable pixel encoding 702 within a background region of an image.
  • figure 8 shows a portrait photo which is processed to identify a nonimportant background region of the image, being the upper body of the person represented but not the face.
  • the computer readable pixel encoding 801 is embedded within the background image region, leaving the face of the portrait unobscured.
  • background regions are identified as those comprising substantially uniform texture and/or colour, such as the upper body of the person represented. Facial recognition in may be used to identify facial areas. Furthermore, background regions may be identified as those intersecting the corners of the image.
  • Figure 9 shows the concealment of a plurality of computer readable pixel encodings 702 for redundancy purposes. In this manner, should the image the rendered partially off screen, a complete Q code may be generated from separate portions of the various computer readable pixel encodings therein.
  • Figure 9 shows the embedding of a computer readable pixel encodings 901 and a complete computer readable pixel encodings 902 both comprising the same data.
  • the complete computer readable pixel encodings 902 be obscured such as by being rendered outside the view port of the display 103, the missing information from the computer readable pixel encodings 902 may be obtained from the partial computer readable pixel encodings 901.
  • the computer readable pixel encodings 702 may repeat the encoding therein for redundancy purposes, so as to allow for the retrieval of the encoding 300 should a portion of the pixel encoding 700 and to be damaged, corrupted or truncated.
  • the computer readable pixel encoding 702 may be non-visibly concealed within the image utilising stenographic technique.
  • extra data may be stored within a data store 201 of the server 202 at step 410.
  • the provided e-commerce product images 603 (which would otherwise cause the generated data to exceed the threshold data size) could be transmitted across the wide area network 204 for storage within the data store 201 for retrieval as and when required.
  • the aforeprovided exemplary generated data may comprise a unique URL for the retrieval of the extra data.
  • the extra data stored by the server 202 may be inessential for the calculation of the e-commerce price.
  • the generated data encoded within the QR code 700 to may comprise the requisite e-commerce parametric data for the dynamic calculation of the e- commerce purchase price without a remote server call wherein extra data may be retrieved from the server 202 upon demand.
  • the image 700 is generated comprising the embedded computer readable pixel encoding 702 and, at step 412, the image 701 is communicated to other mobile communication devices 100.
  • the processing 500 similarly initiates with the installation 501 and configuration 502 of a software application to the mobile communication device 100.
  • Configuration 502 may comprise the provision of user specific information. In embodiments, this provided use of specific information may be utilised for the dynamic calculation of the e- commerce product purchase prices.
  • user specific information may comprise information from which purchase pricing may be deduced with reference to the product option pricing array(s) 305.
  • the user may provide body sizings, such as by selecting a categorisation of small, medium or large for tops and small, medium or large for bottoms.
  • the user may specify a sizing measurement, such as by providing a waist measurement of 36 cm wherein the checkout controller 109 infers the medium sizing categorisation therefrom.
  • the checkout controller 109 is able to calculate an exact e-commerce purchase price with reference to the user provided and specific sizing data and the product options pricing array 305.
  • Additional user provided specific information may relate to the residential address of the user from which a shipping cost may be deduced with reference to the product shipping pricing array 306.
  • a location of the mobile communication device 100 may be inferred via the GPS processor 107.
  • the checkout controller 109 is able to infer the shipping cost categorisation so as to be able to dynamically calculate the exact purchase price accordingly.
  • the user utilising the purchaser mobile communication device 100 browses an image serving resource served by the image sharing platform 203.
  • the user may browse images served by the Instagram platform in the conventional manner, such as by utilising a web browser or the Instagram software application.
  • the purchaser mobile device 100 may detect the computer readable pixel encoding 702 within an image at step 506 where after the encoding 702 is decoded at step 507 and the encoding 300 interpreted at step 508.
  • Step 509 may comprise the purchaser mobile device 100 calculating, without making a remote server call, a dynamic purchase price according to the pricing array data 304 and at least one user specific parameter.
  • the steps may be performed substantially autonomously wherein, for example, as the user scrolls through the various images on the display 103, the purchaser mobile device 100 autonomously identifies the encoding 702 therein so as to autonomously present and informational pop-up, modal or overlay comprising further information.
  • the dynamically calculated purchase price may be overlaid each e-commerce product region 602 within the image substantially autonomously.
  • the user performs an action prior such processing being done, or prior further processing being done.
  • the user captures a screenshot of the display data 103 wherein the checkout controller 109 implements an event listener which detects the screen capture event at step 505.
  • the event listener retrieves the most recent screen capture data and analyses the data to seek to identify the computer readable pixel encoding 702 therein.
  • a combination of autonomous and user initiated actions are implement by the checkout controller 109.
  • the checkout controller 109 may autonomously implement the dynamic purchase price overlay adjacent each e-commerce product region within the image wherein, should the user be interested in the displayed pricing, the user may capture a screenshot of the image or take another action, such as pressing the pricing overlay to confirm the user's intent to purchase the respective e-commerce product.
  • user specific parameters may comprise location data 517 representing the residential address of the purchaser.
  • location data 517 representing the residential address of the purchaser.
  • static user parameters may comprise user data 518 which may comprise sizing parameters wherein, for example, the user has specified that the user has a 36 cm waist.
  • checkout controller 109 is able to infer the correct option costing with reference to the product option pricing array 305.
  • the system may learn from user preferences wherein, for example, user sizing may be inferred from user provided sizing of previous purchases. Such may be employed for other options also wherein, for example, wherein a user has previously shown preference for white coloured clothing, the system may default to such an option if available.
  • the checkout controller 109 may calculate additional financial transaction processing surcharges in accordance with user specific payment instrument data 519. For example, wherein the user has configured the checkout controller 109 with payment details for an AMEX credit card, the checkout controller 109 is able to dynamically calculate a 2% fee surcharge.
  • Figure 10 shows an exemplary interface 1000 displayed by the purchaser mobile communication device 100.
  • the user browses a plurality of images 1002 served by the image sharing platform 203.
  • at least one image 1002 comprises the computer readable pixel encoding 702.
  • the checkout controller 108 may be configured for the substantial real time display of the dynamically calculated purchase pricing 1001.
  • such purchase pricing may be overlaid dynamically without further user input.
  • the checkout controller 109 may implement a background process that periodically monitors the information displayed within the view port of the display device 103 for processing for identifying the computer readable pixel encoding 702 presented therein. As such, for images comprising computer readable pixel encoding 702, the background process may cause the interface 1002 automatically overlay the dynamically calculated relatively accurate purchase pricing 1001.
  • the processing 500 comprises calculating display coordinates at step 510 with reference to the XY accordance 307 within the encoding 300 so as to display a dynamic cost popover at step 512.
  • figure 10 shows the image 1002 comprising two regions 602 as specified by the XY coordinates 307 of the encoding 300.
  • the checkout controller 109 is able to display the dynamically calculated pricing data on or adjacent the respective regions 602.
  • the coordinates may be calculated with reference to the location of the computer readable pixel encoding 702.
  • the background process monitoring the display port of the display 103, when identifying the computer readable pixel encoding 702, may ascertain the on-screen display coordinates of the computer readable pixel encoding 702 so as to be able to calculate relative offset of the display position of the dynamically calculated pricing with reference to the XY coordinates data 307 of the encoding 300.
  • dynamically calculated pricing data may be overlaid the bikini top and bikini bottom without having to make a remote server call to the server 202.
  • the user is able to substantially instantaneously view relatively accurate e-commerce pricing for the various images displayed by the display 103 as the user scrolls through the various images served by the image sharing platform 203.
  • the purchaser may capture a screenshot of the viewport or take other user interface action to select the image 102 or e-commerce product regions 602 at step
  • the purchaser mobile communication device 100 may retrieve extra data from the server 202 at step 514.
  • the extra data may be any e- commerce parametric data not necessarily required for the dynamic allocation of relatively accurate purchase pricing which may, for example, include extra image data of each e-commerce product.
  • the extra data retrieved via the server 202 may further comprise dynamic e- commerce parametric data including stock availability.
  • e-commerce product data (which may include the extra e-commerce product data) is displayed for the at least one e-commerce product.
  • figure 11 shows an interface 1100 comprising a modal overlay 1101 comprising various e-commerce product data for the e-commerce products encoded within the image 1002.
  • the overlay 1101 may comprise the extra e-commerce parametric data retrieved from the server 202 which may comprise the extra product image data 603. Additional e-commerce product data 604 may be displayed including that retrieved from the computer readable pixel encoding 702. Each e-commerce product may comprise the dynamically calculated purchase price 1001.
  • the e-commerce parametric data comprises options data 507 such as, for example, a user selectable colour option or the like
  • the user may provide such a selection via the interface 1100 such that the checkout controller 109 is able to perform a further dynamic cost calculation 506 in accordance with the user received user-specified options.
  • the controller 109 implements an e-commerce purchase utilising the payment controller 113 and payment instrument data 114.
  • the payment controller 113 may be a third-party software application of the mobile communication device 100, such as Apple or Samsung PayTM, or a web-based payment provider such as Stripe (wherein the payment instrument data 114 may comprise a credit card token).
  • Figure 12 shows an exemplary interface 1202 displayed by the purchaser mobile communication device 100 to confirm purchase.

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Business, Economics & Management (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Accounting & Taxation (AREA)
  • Finance (AREA)
  • Development Economics (AREA)
  • General Business, Economics & Management (AREA)
  • Strategic Management (AREA)
  • Marketing (AREA)
  • Economics (AREA)
  • Multimedia (AREA)
  • Information Transfer Between Computers (AREA)

Abstract

L'invention concerne un système de commerce électronique conçu pour faciliter les achats de commerce électronique sur des dispositifs mobiles en facilitant la fourniture et l'utilisation de données paramétriques de commerce électronique intégrées dans des images afin de réduire l'entrée de données et les temps de paiement. Ainsi, lors du rendu de ces images, des dispositifs mobiles peuvent détecter et décoder les données paramétriques de commerce électronique intégrées dans ces images pour mettre en œuvre un processus de paiement de commerce électronique presque instantané sans nécessiter de redirection vers un site vitrine, de remplissage de formulaires, de longs appels de serveurs éloignés, etc. Les données paramétriques de commerce électronique peuvent inclure des données d'ensemble de tarifs permettant au dispositif mobile de calculer instantanément un prix d'achat dynamique du côté client conformément à au moins un paramètre spécifique d'utilisateur.
PCT/AU2017/051420 2016-12-20 2017-12-20 Système de commerce électronique WO2018112527A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
AU2016905267 2016-12-20
AU2016905267A AU2016905267A0 (en) 2016-12-20 An encoded image-based e-commerce purchasing method and image authoring and e-commerce data encoding and imaged based ecommerce code extraction processes therefor

Publications (1)

Publication Number Publication Date
WO2018112527A1 true WO2018112527A1 (fr) 2018-06-28

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Citations (8)

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US20100272193A1 (en) * 2009-04-24 2010-10-28 Samsung Electronics Co. Ltd. Data communication using 2d bar codes
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US20160042250A1 (en) * 2014-07-03 2016-02-11 Oim Squared Inc. Interactive content generation
US20160105482A1 (en) * 2014-10-08 2016-04-14 International Business Machines Corporation Reproducing state of source environment when image was screen captured on a different computing device using resource location, resource navigation and positional metadata embedded in image
US20160117061A1 (en) * 2013-06-03 2016-04-28 Miworld Technologies Inc. System and method for image based interactions
US20160350299A1 (en) * 2010-12-10 2016-12-01 A9,com, Inc. Image as database

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8335724B2 (en) * 2008-08-13 2012-12-18 Branders.Com, Inc. Customized virtual catalog
US20100272193A1 (en) * 2009-04-24 2010-10-28 Samsung Electronics Co. Ltd. Data communication using 2d bar codes
US20160350299A1 (en) * 2010-12-10 2016-12-01 A9,com, Inc. Image as database
GB2491128A (en) * 2011-05-23 2012-11-28 Jenton Internat Ltd Transferring information by scanning a variable optical code
US20140379604A1 (en) * 2013-03-13 2014-12-25 Shiphawk Methods and systems for item shipment based on an item image
US20160117061A1 (en) * 2013-06-03 2016-04-28 Miworld Technologies Inc. System and method for image based interactions
US20160042250A1 (en) * 2014-07-03 2016-02-11 Oim Squared Inc. Interactive content generation
US20160105482A1 (en) * 2014-10-08 2016-04-14 International Business Machines Corporation Reproducing state of source environment when image was screen captured on a different computing device using resource location, resource navigation and positional metadata embedded in image

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