WO2016206106A1 - Appareil intelligent et procédé de recommandation de produits associée - Google Patents

Appareil intelligent et procédé de recommandation de produits associée Download PDF

Info

Publication number
WO2016206106A1
WO2016206106A1 PCT/CN2015/082522 CN2015082522W WO2016206106A1 WO 2016206106 A1 WO2016206106 A1 WO 2016206106A1 CN 2015082522 W CN2015082522 W CN 2015082522W WO 2016206106 A1 WO2016206106 A1 WO 2016206106A1
Authority
WO
WIPO (PCT)
Prior art keywords
customer
smart device
cash register
attributes
consumption
Prior art date
Application number
PCT/CN2015/082522
Other languages
English (en)
Chinese (zh)
Inventor
黄新山
叶辉勇
陈翔
谭敏
Original Assignee
深圳市华阳信通科技发展有限公司
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
Application filed by 深圳市华阳信通科技发展有限公司 filed Critical 深圳市华阳信通科技发展有限公司
Priority to PCT/CN2015/082522 priority Critical patent/WO2016206106A1/fr
Publication of WO2016206106A1 publication Critical patent/WO2016206106A1/fr

Links

Images

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
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising

Definitions

  • the present invention relates to a smart device and a method for associating recommended products, and more particularly to a smart device applied to a cash register system and a method for associating recommended products.
  • the cash register system placed in shopping malls and various small stores is as follows: after the goods purchased by the customer are sent to the checkout counter, the barcode scanner is picked up and the barcode pattern on the outer packaging of the product is scanned, and the product information is scanned and read.
  • the computer display will display all the information about the product, such as barcode, product name, item number, retail price, purchase quantity, etc. If the item participates in a discount or participates in the points activity, the cash register system will automatically calculate the discount of the item.
  • the cashier collects the customer's cash and conducts the change and other activities according to the cashier system prompt. Print the customer's purchase invoice using a small ticket printer.
  • the traditional cash register system can not analyze the customer's consumption preferences and behavioral characteristics, and accurately recommend related products and corresponding coupons to promote further consumption.
  • the smart device is connected to at least one cloud server, and the smart device includes:
  • An acquisition unit configured to collect cash register data from a cloud server
  • the attribute analysis unit is configured to acquire cash register data in the cloud server and analyze the commodity attributes and the consumption attributes of the crowd;
  • a customer profile establishing unit for tagging people according to the commodity attributes and crowd consumption attributes analyzed above, thereby classifying the crowd and establishing a customer profile;
  • the association recommendation unit is configured to perform association recommendation of the product and the corresponding coupon according to the customer consumption preference and the previous shopping detail data in the customer profile.
  • the smart device further includes a coupon rollout unit for performing a write-off of the used coupon when the customer pays the credit amount with the coupon.
  • the smart device further includes a network receiving and transmitting unit for transmitting and receiving network signals to provide a smart device network environment.
  • the method of associating recommended products includes the following steps:
  • the characters are tagged to classify the people and establish customer profiles
  • Relevant recommendations for products and corresponding coupons are based on customer spending preferences and past shopping details in the customer profile.
  • the smart device and the method for recommending the recommended products realize accurate analysis of the cash register data in the offline cash register system, and carry out accurate related product recommendation and coupon delivery, thereby helping the merchant to achieve precise marketing and personalized service.
  • FIG. 1 is a schematic structural diagram of an embodiment
  • FIG. 2 is a functional unit diagram of the smart device of FIG. 1;
  • FIG. 3 is a flow chart of integrating the cash register data of the smart device described in FIG. 1;
  • Figure 4 is a product attribute display diagram
  • Figure 5 is a diagram showing the consumption characteristics of the crowd.
  • Figure 6 is a customer profile display.
  • FIG. 1 is a schematic diagram of the architecture of the embodiment.
  • a smart device 1 is connected to at least one cash register 2, at least one printer 3 and at least one cloud server 4 in sequence.
  • the smart device 1 is connected to the cash register 2 and the printer 3 via level shifters, respectively.
  • the smart device 1 can be connected to the cloud server 4 via a WIFI (Wireless Fidelity), wired, mobile (eg 3G or 4G) network.
  • the smart device 1 collects the cash register data transmitted by the cash register 2, and generates a two-dimensional code for the integrated application of the cash register data, and transmits the collected cash register data and the product two-dimensional code to the printer 3, and finally the printer 3
  • the cash register data and the product QR code are printed together to the small ticket.
  • the smart device 1 uploads the cash register data and the product two-dimensional code information to the cloud server 4 for backup through the network.
  • the customer can use WeChat or other means to scan the product QR code on the ticket or the product QR code displayed on the display of the smart device 1 to make a payment.
  • WeChat or other means to scan the product QR code on the ticket or the product QR code displayed on the display of the smart device 1 to make a payment.
  • the smart device 1 may also collect cash register data in the cloud server 4 and analyze the product attributes and the crowd consumption attributes; perform tagging and establish customer files according to the analyzed product attributes and crowd consumption attributes;
  • the customer profile associates the recommended products that the customer may like and the corresponding coupons; and sends the associated recommended products and the corresponding coupons to the customer smart terminal.
  • the customer receives the related products and corresponding coupons that are pushed and can be purchased according to their own preferences and needs, and can also share the received coupons with friends.
  • the coupon is used directly with the smart device 1 Write off the coupon.
  • the smart device 1 realizes accurate analysis of the cash register data in the offline cash register system, and carries out accurate related product recommendation and coupon delivery, thereby helping the merchant to achieve precise marketing and personalized service.
  • FIG. 2 is a functional unit diagram of the smart device 1 in FIG. 1 , which includes an input unit 100 , an acquisition unit 101 , a two-dimensional code generation unit 102 , an attribute analysis unit 103 , a customer profile creation unit 104 , and an associated recommendation unit . 105.
  • the input unit 100 is used for the customer to input information that needs to be queried or needs to be confirmed. For example, the customer can confirm the total transaction price of the message and the verification of the card vouchers through the input unit 100; the collecting unit 101 is configured to collect the cash register.
  • the cash register data transmitted by the machine 2 includes the store number, the cashier, the customer consumption details, the customer basic data, the final consumption total price, the payment method, the small ticket order number, the transaction time and the like, each time the customer purchases.
  • the collecting unit 101 is further configured to collect cash register data from the cloud server 4 through the network for the smart device 1 to analyze commodity attributes, crowd consumption attributes, and the like.
  • the two-dimensional code generating unit 102 is configured to parse the collected cash register data, extract corresponding field values and customer consumption details, and generate a product two-dimensional code according to the parsed field values and message details.
  • the product two-dimensional code can be displayed on the display screen of the smart terminal 1 or uploaded to the cloud server 4 for backup by the network, or sent to the printer 3 for the customer consumption ticket.
  • the attribute analysis unit 103 is configured to acquire the cash register data in the cloud server 4 and analyze the commodity attribute and the crowd consumption attribute, wherein the product attribute is shown in FIG. 4, and the crowd consumption attribute is displayed as shown in FIG. 5 to help the merchant. Achieve precision marketing and personalized service.
  • the customer profile establishing unit 104 is configured to perform character tagging according to the analyzed product attributes and the crowd consumption attribute, thereby classifying the crowd and establishing a customer profile, and the customer profile is shown in FIG. 6. It includes, but is not limited to, basic information, growth trajectories, consumer preferences, shopping details, labels, behavioral analysis, etc. for each customer.
  • the association recommendation unit 105 performs association recommendation of the personalized product based on the customer consumption preference and the previous shopping details in the customer profile, and simultaneously performs the association recommendation of the personalized product coupon based on the above information. For example, in the past shopping details of the customer, it is found that the customer has purchased a brand of smart phone, and the related recommendation unit 105 associates the customer with the holster and film for the brand smart phone according to the shopping details. Chargers and other related products. At the same time, the association recommendation unit 105 also Relevant coupons for these products will be pushed to facilitate further consumer spending.
  • the coupon verification unit 106 is configured to reduce the amount when the customer collects the coupon and use the relevant coupon to pay the payment, and perform the verification of the used coupon.
  • the network receiving and transmitting unit 107 is configured to transmit or receive a network signal to provide a smart device 1 network environment.
  • the smart device 1 can communicate with the cloud server 4 or other hardware outside through a network signal.
  • the smart device 1 can send the cash receipt data such as the final product details, the final consumption total price, the payment method, the small ticket order number, the transaction time, and the product two-dimensional code to the cloud server through the network receiving and transmitting unit 107. 4.
  • the display screen 108 is a touch screen dual display screen, for example, an X86 motherboard touch screen dual display screen, an ARM (Acorn RISC Machine) touch screen display screen, etc., which are used for confirming the total price of the consumer transaction, the advertisement display, and the card coupon verification. , WeChat payment, Alipay payment, display product QR code and other functions. The customer can also perform a WeChat payment or an Alipay payment by scanning the QR code of the product displayed above the screen of the display screen 108.
  • FIG. 3 is a flowchart of implementing the method for associating recommended related products and coupons by the smart device 1 in the embodiment to finally achieve accurate marketing.
  • step S301 the smart device 1 is connected between the cash register 2 and the printer 3.
  • the smart device 1 can be connected to at least one cash register 2 and at least one printer 3.
  • the smart device 1 passes through a level shifter or a universal serial bus (Universal Serial Bus, abbreviation: USB) is connected to the cash register 2 and the printer 3.
  • USB Universal Serial Bus
  • step S302 the collecting unit 101 receives the network connection provided by the transmitting unit 107 through the network to collect the cash register data backed up in the cloud server 4.
  • the cash register data includes, but is not limited to, the store number, the cashier, and the customer each time the customer makes a purchase. Basic information, customer consumption details, final consumption total price, payment method, small ticket order number, transaction time and other consumer information.
  • Step S303 the attribute analyzing unit 103 acquires the cash register data in the cloud server 4 and analyzes the product attribute and the crowd consumption attribute, wherein the product attribute is shown in FIG. 4, and the crowd consumption attribute is displayed as shown in FIG. 5 to help the merchant realize Precision marketing, personalized service.
  • step S304 the customer profile establishing unit 104 performs tagging according to the analyzed product attributes and the crowd consumption attribute to classify the crowd and establish a customer profile, and the customer profile is shown in FIG. 6. It includes, but is not limited to, basic information, growth trajectories, consumer preferences, shopping details, labels, behavioral analysis, etc. for each customer.
  • the association recommendation unit 105 performs association recommendation of the personalized product based on the customer consumption preference and the previous shopping details in the customer profile, and simultaneously performs the association recommendation of the personalized product coupon based on the above information. For example, in the past shopping details of the customer, it is found that the customer has purchased a brand of smart phone, and the related recommendation unit 105 associates the customer with the holster and film for the brand smart phone according to the shopping details. Chargers and other related products. At the same time, the association recommendation unit 105 also pushes relevant coupons of these products in order to facilitate further consumption by the customer.
  • step S306 the association recommendation unit 105 pushes the associated recommended product and the corresponding coupon to the smart terminal of the customer through the network.
  • step S307 after receiving the related related recommended products and the corresponding coupons, the customer may share the coupons or purchase according to their own needs and preferences.
  • Step S308 when the customer collects the coupon and uses the coupon reduction amount during the purchase, the coupon verification unit 106 performs the payment reduction of the amount and performs the verification of the used coupon, so that the used coupon is in the Used state.
  • the step S302 further includes a step, the two-dimensional code generating unit 102 performs analysis according to the cash register data collected by the collecting unit 101, and generates a product two-dimensional code, and sends the cash register data and the product two-dimensional code to the printer. 3 print.
  • the customer scans the product QR code to pay attention to the merchant public number to become a fan of the merchant, can pay attention to the merchant promotion activities for a long time, and can also obtain the electronic bill, product details, total purchase price, payment method, small ticket order number of each purchase, Consumption information such as trading hours.
  • FIG. 4 and FIG. 5 are diagrams of product attributes and crowd consumption attributes analyzed by the attribute analysis unit 103 .
  • product categories such as category A, category B, category C, and category D are shown.
  • Figure 5 the basic information, purchasing power, behavioral characteristics, hobbies, consumption trajectories and consumption preferences of each customer are displayed. The above attribute analysis is an important basis for subsequent follow-up recommendation of goods.
  • FIG. 6 is a customer file display diagram for character tagging based on the above attribute analysis.
  • the customer profile in the figure includes basic information, growth trajectories and consumption attributes of each customer.
  • the growth trajectory includes information such as first time attention, public account number, coupon usage, and last purchase time.
  • Its consumer attributes include labels, consumer preferences, spending details and behavioral analysis.

Landscapes

  • Business, Economics & Management (AREA)
  • Strategic Management (AREA)
  • Engineering & Computer Science (AREA)
  • Accounting & Taxation (AREA)
  • Development Economics (AREA)
  • Finance (AREA)
  • Economics (AREA)
  • Game Theory and Decision Science (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Marketing (AREA)
  • Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Cash Registers Or Receiving Machines (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

L'invention concerne un appareil intelligent et un procédé de recommandation de produits associée. L'appareil intelligent comprend une unité d'analyse d'attributs (103) servant à analyser des attributs de produits et des attributs de consommation de groupes démographiques dans des données de caisse enregistreuse ; une unité d'établissement de profils de clients (104) servant à étiqueter des personnes sur la base des attributs de produits et des attributs de consommation de groupes démographiques analysés, afin de classer des groupes démographiques et d'établir des profils de clients ; et une unité de recommandation associée (105) servant à mettre en œuvre une recommandation associée de produits et de bons correspondants en fonction de préférences de consommation de clients et de données de listes d'achats passées dans un profil de client. Le procédé de recommandation de produits associée comprend les étapes qui consistent : à collecter des données de caisse enregistreuse auprès d'un serveur dans le cloud (302) ; à acquérir les données de caisse enregistreuse auprès du serveur dans le cloud et à réaliser une analyse d'attributs de produits et d'attributs de consommation de groupes démographiques (303) ; à établir des profils de clients sur la base des attributs de produits et des attributs de consommation de groupes démographiques analysés (304) ; et à réaliser, en fonction des données de profils de clients, une recommandation associée de produits et de bons correspondants (305). Cela aide les commerçants à mettre en œuvre un marketing précis et un service personnalisé.
PCT/CN2015/082522 2015-06-26 2015-06-26 Appareil intelligent et procédé de recommandation de produits associée WO2016206106A1 (fr)

Priority Applications (1)

Application Number Priority Date Filing Date Title
PCT/CN2015/082522 WO2016206106A1 (fr) 2015-06-26 2015-06-26 Appareil intelligent et procédé de recommandation de produits associée

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/CN2015/082522 WO2016206106A1 (fr) 2015-06-26 2015-06-26 Appareil intelligent et procédé de recommandation de produits associée

Publications (1)

Publication Number Publication Date
WO2016206106A1 true WO2016206106A1 (fr) 2016-12-29

Family

ID=57584656

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2015/082522 WO2016206106A1 (fr) 2015-06-26 2015-06-26 Appareil intelligent et procédé de recommandation de produits associée

Country Status (1)

Country Link
WO (1) WO2016206106A1 (fr)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107948322A (zh) * 2017-12-29 2018-04-20 新开普电子股份有限公司 一种基于pos终端的信息推送方法
CN110992153A (zh) * 2019-12-17 2020-04-10 深圳市梦网百科信息技术有限公司 基于用户属性和商品类型的商品推荐方法、系统及设备
CN114416808A (zh) * 2022-01-18 2022-04-29 浪潮卓数大数据产业发展有限公司 基于电商大数据的商品严选方法及系统

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102411753A (zh) * 2011-09-28 2012-04-11 中兴通讯股份有限公司 基于nfc实现受众细分的方法、服务器以及系统
US20140074647A1 (en) * 2012-09-07 2014-03-13 Xerox Corporation Methods and systems for recommending cloud configuration in a cloud service market place
CN103930915A (zh) * 2011-09-15 2014-07-16 库本.Com公司 基于收银台的数字促销的发放
CN104077663A (zh) * 2014-07-08 2014-10-01 信雅达系统工程股份有限公司 一种业务处理方法及系统
CN104881802A (zh) * 2015-06-26 2015-09-02 深圳市华阳信通科技发展有限公司 智能装置及其关联推荐商品的方法

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103930915A (zh) * 2011-09-15 2014-07-16 库本.Com公司 基于收银台的数字促销的发放
CN102411753A (zh) * 2011-09-28 2012-04-11 中兴通讯股份有限公司 基于nfc实现受众细分的方法、服务器以及系统
US20140074647A1 (en) * 2012-09-07 2014-03-13 Xerox Corporation Methods and systems for recommending cloud configuration in a cloud service market place
CN104077663A (zh) * 2014-07-08 2014-10-01 信雅达系统工程股份有限公司 一种业务处理方法及系统
CN104881802A (zh) * 2015-06-26 2015-09-02 深圳市华阳信通科技发展有限公司 智能装置及其关联推荐商品的方法

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107948322A (zh) * 2017-12-29 2018-04-20 新开普电子股份有限公司 一种基于pos终端的信息推送方法
CN110992153A (zh) * 2019-12-17 2020-04-10 深圳市梦网百科信息技术有限公司 基于用户属性和商品类型的商品推荐方法、系统及设备
CN110992153B (zh) * 2019-12-17 2023-06-16 深圳市梦网视讯有限公司 基于用户属性和商品类型的商品推荐方法、系统及设备
CN114416808A (zh) * 2022-01-18 2022-04-29 浪潮卓数大数据产业发展有限公司 基于电商大数据的商品严选方法及系统

Similar Documents

Publication Publication Date Title
US11663572B2 (en) System and method for point of sale transaction logging
CN104881802A (zh) 智能装置及其关联推荐商品的方法
US9760896B2 (en) Acquiring customer insight in a retail environment
US10346865B2 (en) Check-out based distribution and redemption of digital promotions
US20130204697A1 (en) Checkout-based distributed of digital promotions
US20130073363A1 (en) Checkout-based distribution of digital promotions
US20140122272A1 (en) Transaction data capture device and system
US20120215611A1 (en) My coupon genie
CN104992507B (zh) 智能装置及其整合收银数据的方法
WO2013040591A2 (fr) Distribution de promotions numériques basée sur le paiement d'achats
JP2009531777A (ja) Ｐｏｓで使用するための手持ち式装置、レジスタ、ならびに広告効果を追跡するためのシステムおよび方法
US20160292731A1 (en) Contextual real-time marketing
US20150287068A1 (en) System and method for pooling and converting purchase rewards to cash for end-users
CN114365175A (zh) 店铺利用信息分发装置、具备该店铺利用信息分发装置的店铺利用信息分发系统以及店铺利用信息分发方法
US20100280873A1 (en) Electronic coupon storage and manipulation system and method
US11132639B2 (en) System for bifurcated transaction for products at a brick-and-mortar store
WO2016206106A1 (fr) Appareil intelligent et procédé de recommandation de produits associée
US20120022932A1 (en) Digital data processing systems and methods for electronic commerce
US20150379570A1 (en) Presenting Advertisement Content During Searches Of Digital Receipts
WO2016206098A1 (fr) Dispositif intelligent et procédé d'intégration de données de caisse enregistreuse associé
JP2016126736A (ja) 有利な取引システム、および、その取引方法
KR20140140540A (ko) 프로모션 아이템 배포 및 상환 추적을 위한 시스템 및 방법
TWM609036U (zh) 一種電子裝置
RU103948U1 (ru) Система автоматизированных маркетинговых коммуникаций в розничной торговле (варианты)
WO2015061583A2 (fr) Dispositif et système de saisie de données de transaction

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 15896004

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

32PN Ep: public notification in the ep bulletin as address of the adressee cannot be established

Free format text: NOTING OF LOSS OF RIGHTS PURSUANT TO RULE 112(1) EPC (EPO FORM 1205 DATED 25/05/2018)

122 Ep: pct application non-entry in european phase

Ref document number: 15896004

Country of ref document: EP

Kind code of ref document: A1