KR20220058311A - Customized shopping information recommendation system based on purchase data - Google Patents

Customized shopping information recommendation system based on purchase data Download PDF

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KR20220058311A
KR20220058311A KR1020200143922A KR20200143922A KR20220058311A KR 20220058311 A KR20220058311 A KR 20220058311A KR 1020200143922 A KR1020200143922 A KR 1020200143922A KR 20200143922 A KR20200143922 A KR 20200143922A KR 20220058311 A KR20220058311 A KR 20220058311A
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product
buyer
information
recommendation system
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노민규
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주식회사 수에즈코리아
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    • 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
    • G06Q30/0601—Electronic shopping [e-shopping]
    • G06Q30/0631—Item recommendations
    • 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
    • G06Q30/0601—Electronic shopping [e-shopping]
    • G06Q30/0613—Third-party assisted
    • 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
    • G06Q30/0601—Electronic shopping [e-shopping]
    • G06Q30/0633—Lists, e.g. purchase orders, compilation or processing

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Abstract

The present invention relates to a customized shopping information recommendation system based on purchase data for providing useful shopping information to a buyer in a flood of information when the buyer does Internet shopping. The present invention relates to a buyer-centered customized shopping information recommendation system based on purchase data using AI of a Codicodi platform under the information consent of a buyer and an advertisement analysis platform of a partner company.

Description

구매데이터 기반 맞춤 쇼핑정보 추천시스템{Customized shopping information recommendation system based on purchase data}Customized shopping information recommendation system based on purchase data}

본 발명은 구매자가 온라인을 이용하여 구매한 여러 쇼핑몰의 거래내용을 구매자의 구매데이터를 기반으로 구매자가 구매한 쇼핑정보를 통합관리하여 구매패턴을 분석하고 자사와 협력사의 제품을 추천하는 맞춤 쇼핑정보 추천시스템이다.The present invention provides customized shopping information that analyzes purchase patterns and recommends products of the company and its partners by integrating and managing the shopping information purchased by the buyer based on the purchase data of the various shopping malls that the buyer purchases online. It is a recommendation system.

본 발명은 구매자의 구매패턴을 AI로 분석하고 협력사와의 연관 상품기반을 알고리즘을 통하여 고객에게 직접 푸쉬하는 맞춤 쇼핑정보 추천시스템이다.The present invention is a customized shopping information recommendation system that analyzes a buyer's purchase pattern with AI and directly pushes the product base related to a partner company to the customer through an algorithm.

인터넷이 활성화 되어있는 현대사회의 다양한 정보의 홍수속에서 나만의 상품을 구매하고자 노력하는 현대인은 많은 다양한 쇼핑몰에서 제공하는 상품정보에 따라서 선호하는 상품을 구매할 수 있었다.Modern people who try to purchase their own products amid the flood of various information in the modern society where the Internet is active can purchase their preferred products according to the product information provided by many various shopping malls.

이와같은 다양한 쇼핑몰이 제공하는 상품정보는 중복적 상품제공과 단순한 조회수 클릭에 따른 신호를 선호도로 인식하여 단편적인 구매예상 정보를 구매자에게 제공하고 있다.As for the product information provided by such various shopping malls, fragmentary purchase prediction information is provided to the purchaser by recognizing the signal according to the double product provision and simple click on the number of views as preference.

그러나 이와같은 종래의 쇼핑정보 추천시스템은 상품가격대비 저가 또는 고가의 순서를 나열하는 방식과 제공하는 정보의 연관성만을 제공하고 있기에 실제 구매자의 기호를 반영하지 못하고 있다.However, since such a conventional shopping information recommendation system only provides a correlation between a method of arranging the order of low or high price relative to product price and the provided information, it does not reflect the actual buyer's preference.

본 발명에서는 구매자의 구매패턴을 AI로 분석하고 당사와 협업 및 연관있는 상품을 알고리즘을 통하여 구매자에게 추천하며, 추천하는 상품에 대하여 구매자의 관심을 유도하여 클릭데이터를 추천상품주에게 전달하여 추천상품주의 향후 상품개발에도 구매자의 기호에 맞는 상품을 개발하도록하는 맞춤 쇼핑정보 추천시스템을 제공하고자 하는 것이다. In the present invention, AI analyzes the purchase pattern of the buyer, recommends products that are collaborative and related with the company to the buyer through an algorithm, induces the buyer's interest in the recommended product, and transmits click data to the recommended product owner to recommend product Attention This is to provide a customized shopping information recommendation system that enables the development of products that meet the preferences of buyers in future product development.

본 발명 구매데이터 기반 맞춤 쇼핑정보 추천시스템은, 코디코디 플렛폼이라 칭하고, 상기 구매자에게 쇼핑(커머스)정보를 제공하고, 정보를 제공하는 추천상품주에게 상품광고 및 분석의 정보를 제공하는 풀렛폼과 수익 플렛폼을 이용하여 수익성 모델을 창출하는 수단을 포함하는 것을 특징으로 한다.The purchase data-based customized shopping information recommendation system of the present invention is called a CodyCody platform, and provides shopping (commerce) information to the buyer, and a full form that provides information of product advertisement and analysis to recommended product owners who provide information; It is characterized by including means for creating a profitability model using the revenue platform.

이와 같은 본 발명에 따르면 구매자에게 필요한 맞춤 구매정보, 그리고 이에 대한 광고 분석 플렛폼을 통한 입점업체의 수익성 창출을 중점으로 하고 있으며, 구매패턴과 지출데이터를 제공 함으로써 구매자와 입점업체간의 윈윈을 할 수 있는 맞춤 쇼핑정보 추천 제공이 가능해 진다. According to the present invention as described above, it is focused on creating profitability of stores through customized purchase information required for buyers and an advertisement analysis platform for them, and providing purchase patterns and spending data to achieve a win-win relationship between buyers and stores. It becomes possible to provide customized shopping information recommendations.

도1은 구매데이타 기반맞춤 쇼핑정보 추천시스템 FLOW를 나타낸 실시예 도면
도2는 본 발명의 코디코디 플랫폼과 구매자와 협업체간의 실시예 도면
도3은 본 발명에 맞춤 쇼핑정보 추천시스템의 맞춤상품을 나타낸 실시예 도면.
도4는 본 발명에 맞춤 쇼핑정보 추천시스템의 코디상품을 나타낸 실시예 도면.
도5는 본 발명에 맞춤 쇼핑정보 추천시스템의 코디추천을 나타낸 실시예 도면.
도6은 본 발명에 맞춤 쇼핑정보 추천시스템의 유사상품을 나타낸 실시예 도면.
도7은 본 발명에 맞춤 쇼핑정보 추천시스템의 이벤트를 나타낸 실시예 도면
도8은 본 발명에 맞춤 쇼핑정보 추천시스템의 평가하기를 나타낸 실시예 도면
도9는 본 발명에 맞춤 쇼핑정보 추천시스템의 포인트관리를 나타낸 실시예 도면1 is a diagram showing an embodiment of a purchase data-based customized shopping information recommendation system FLOW
Figure 2 is a diagram of an embodiment between the coordinating platform of the present invention and a buyer and a collaborator;
3 is a view showing a customized product of the customized shopping information recommendation system according to the present invention.
Figure 4 is an embodiment diagram showing a coordinated product of the customized shopping information recommendation system according to the present invention.
5 is a diagram illustrating an embodiment of a coordinating recommendation of a customized shopping information recommendation system according to the present invention.
Fig. 6 is a view showing a similar product of the customized shopping information recommendation system according to the present invention.
7 is a diagram illustrating an embodiment of an event of a customized shopping information recommendation system according to the present invention;
8 is a view showing an evaluation of a customized shopping information recommendation system according to the present invention;
9 is an embodiment diagram illustrating point management of a customized shopping information recommendation system according to the present invention;

본 발명 구매 데이터 기반 맞춤 쇼핑정보 추천시스템은 코디코디 플랫폼(200)을 용한 맞춤정보(도3), 코디상품(도4), 코디추천(도5), 유사상품(도6), 이벤트(도7), 평가하기(도8) 및 포인트 관리(도9)를 구매자(100)에게 제공하도록 하는 것을 그 기술의 특징으로 한다.The present invention purchase data-based customized shopping information recommendation system provides customized information (FIG. 3) using the CodyCody platform 200, Cody product (FIG. 4), Cody recommendation (FIG. 5), similar product (FIG. 6), and event (FIG. 7), to evaluate (FIG. 8), and to provide point management (FIG. 9) to the purchaser 100 is a feature of the technology.

본 발명에서의 코디코디 플랫폼(200)은 구매자(100)가 당사의 회원 가입(101)과 동시에 정보 제공동의(201)를 받아서 데이타 베이스화하며, 동시에 타쇼핑몰의 가입정보에 대한 정보 제공동의(202)를 받아 자사플랫폼을 가동(201)하여구매 데이타 베이스화 하고, 데이타 베이스화 정보는 자사 플랫폼에 AI를 이용하여 구매 데이타를 정리(204)하여 협력사에게 제공하여 협력사가 구성별 데이터(301)를 취합하도록 기초자료로 활용할 수 있게 하며, 협력사는 당사가 제공한 구매데이터를 활용하여 구성별 상품정보(302)를 당사에게 제공하며, 당사는 협력사가 제공 한 구성별 상품정보를 분류(205)하여 구매자에게 맞춤정보를 제공(105)한다.. In the present invention, the CodyCody platform 200 allows the purchaser 100 to obtain the information provision agreement 201 at the same time as the member registration 101 of the company and convert it into a database, and at the same time, the information provision agreement 202 for the subscription information of other shopping malls ) and operate (201) our platform to make a purchase database, and the database information is organized (204) of purchase data using AI on our platform and provided to partners so that partners can collect data 301 by configuration. It can be used as basic data, and the supplier provides product information 302 by composition to us using the purchase data provided by the company, and the company classifies the product information by composition provided by the supplier (205) to the buyer. Provides customized information (105).

상기와 같이 제공된 맞춤정보에서 구매자는 구매품목을 선정(106)하고 당사에게 주문(206)하면 당사는 협력업체를 이용하여 구매자에게 맞춤물품을 발송(303)하도록 한다.In the customized information provided as described above, when the buyer selects a purchase item (106) and places an order from the company (206), the company uses a partner company to send (303) a customized item to the buyer.

도 2는 구매자가 쇼핑커머스(400)를 이용하여 코디코디 플랫폼(200)에 접속하는 체계도이며, 구매자는 여러 쇼핑몰에서의 쇼핑정보(401)와 개인구매 물품의 업로드(402)를 통하여 구매패턴의 정보를 제공(403)하고, 해당 쇼핑몰에서 구매할 상품을 클릭(404)한다.2 is a system diagram in which a buyer accesses the CodyCody platform 200 using a shopping commerce 400, and the buyer purchases a purchase pattern through shopping information 401 and uploading 402 of personal purchase items at various shopping malls. information is provided (403), and a product to be purchased from the corresponding shopping mall is clicked (404).

한편 협력업체는 광고 분석 풀랫폼(500)을 이용하여 구매자의 구매데이터를 AI로 분석(501)하고, 협력업체의 연관되는 상품기반을 한 구매자에게 광고(502) 하며, 구매자가 광고를 수신한 결과를 상품광고주에게 전달(503)하여 광고주에게 광고 수익과 광고 데이터를 소유한 소유자에게 일정비용을 지급(504) 하는 광고분석 플랫폼(500)을 코디코디 플랫폼(200)과 연동하는 것으로 구성된다.On the other hand, the partner company uses the advertisement analysis platform 500 to analyze the purchase data of the buyer with AI (501), advertises 502 to the buyer based on the related product of the partner company, and the buyer receives the advertisement. The result is delivered to the product advertiser (503) and the advertisement analysis platform 500, which pays (504) a certain cost to the owner of the advertisement revenue and advertisement data to the advertiser, is linked with the CodyCody platform (200).

도 3은 본 발명에 맞춤 쇼핑정보 추천시스템의 맞춤상품을 나타낸 구성이며, 상기 맞춤상품은 구매자의 구매 데이터를 베이스화 하여 작성된 것이다.3 is a configuration illustrating a customized product of the customized shopping information recommendation system according to the present invention, and the customized product is prepared based on purchaser's purchase data.

도 4는 본 발명에 맞춤 쇼핑정보 추천시스템의 코디상품을 나타낸 구성이며, 상기 코디상품은 구매자가 구매한 상품을 AI로 분석하여 구매자가 본 화면에서 무매한 상품을 클릭시 구매한 상품과 어울리는 상품을 보여주는 구성도이다.4 is a configuration showing a coordinating product of the customized shopping information recommendation system according to the present invention, wherein the coordinating product is a product that matches the purchased product when the buyer clicks a non-saleable product on the screen by analyzing the product purchased by the buyer with AI. is a diagram showing the

도 5는 본 발명에 맞춤 쇼핑정보 추천시스템의 코디추천을 나타낸 구성도이며, 상기 도 4에서 구매자가 클릭한 화면에서의 상품과 연관 되는 상품을 코디 상품페이지에서 코디가 추천해 주는 화면을 보여주는 구성도이다.5 is a block diagram showing a coordinating recommendation of the customized shopping information recommendation system according to the present invention, and a screen in which the coordinator recommends a product related to the product on the screen clicked by the buyer in FIG. 4 from the coordinating product page. It is also

도 6은 본 발명에 맞춤 쇼핑정보 추천시스템의 유사상품을 나타낸 구성도이며, 코디상품 페이지에서 상기 도 5에서 코디가 추천한 상품과 유사한 상품을 추천해 주는 화면을 보여주는 구성도이다.6 is a block diagram showing similar products of the customized shopping information recommendation system according to the present invention, and is a block diagram showing a screen for recommending products similar to the products recommended by the coordinator in FIG. 5 on the coordinating product page.

도 7은 본 발명에 맞춤 쇼핑정보 추천시스템의 이벤트를 나타낸 구성도이며, 협력사의 협려을 받아 구매자의 나이, 성별, 구매이력에 맞는 세일 및 특가 이벤트를 구성하는 화면을 보여준 구성도이다.7 is a block diagram showing an event of the customized shopping information recommendation system according to the present invention, and is a block diagram showing a screen for configuring a sale and special event event according to the age, gender, and purchase history of a buyer with the cooperation of a partner.

도 8은 본 발명에 맞춤 쇼핑정보 추천시스템의 평가하기를 나타낸 구성도이며, 구매자의 구매의견을 종합적으로 평가받아 협력업체의 구성 상품이 차후 구매상품 구성에 도움이 되도록 구성한 화면을 보여주는 구성도이다.8 is a configuration diagram showing the evaluation of the customized shopping information recommendation system according to the present invention, and is a configuration diagram showing a screen configured to help the configuration of the products of the partner companies by comprehensively evaluating the purchase opinions of the purchasers. .

도 9는 본 발명에 맞춤 쇼핑정보 추천시스템의 포인트를 나타낸 구성도 이며, 구매자가 상품을 구매하면 주어지는 상품구매 포인트와 상품 구매시 누적된 포인트를 차기 상품 구매시 포인트로 지급하는 상품판매 포인트로 구성 되는 화면의 구성도이다.9 is a block diagram showing the points of the customized shopping information recommendation system according to the present invention, and a screen consisting of product purchase points given when a buyer purchases a product and product sales points that pay the accumulated points when purchasing the product as points when purchasing the next product. is the configuration of

이와 같이 본 발명의 실시 예에서는 구매자의 관심대상 정보를 구매자의 정보동의 및 코디코디 플랫폼과 협력업체가 제공하는 자료 정보를 바탕으로 다양하게 적용할 수 있다.As described above, in an embodiment of the present invention, information of a buyer's interest can be variously applied based on the buyer's information consent and data information provided by the CodyCody platform and partner companies.

Claims (1)

상기 구매데이타 기반 맞춤 쇼핑정보 추천시스템에 구매자가 코디코디회원으로 가입 후 구매자가 타쇼핑몰에 가입한 정보룰 코디코디 플랫폼에 정보동의를 하는 과정과 정보 제공을 받은 구매데이타를 이용하여 분석 정리하며, 정리된 데이타를 협력업체에 제공하고, 협력업체는 구성별 데이터 제공으로 구성별 상품제공을 코디코디 플랫폼을 통하여 구매자에게 맞춤정보를 제공 후 맞춤 정보에 의하여 구매자의 구매의사에 따른상품이 선정되고, 선정된 상품을 구매자의 주문 클릭에 의하여 구매물이 선정되면 협력사는 구매자에게 상품을 송부하는 시스템.In the purchase data-based customized shopping information recommendation system, after the buyer signs up as a CodyCody member, the buyer signs up for other shopping malls, and analyzes and organizes the information using the process of agreeing to the CodyCody platform and the purchase data provided, The organized data is provided to the partner companies, and the partner companies provide products by configuration by providing data by configuration. After providing customized information to the buyer through the CodyCody platform, the product is selected according to the purchaser's intention based on the customized information, A system in which the partner sends the product to the purchaser when the purchase is selected by the purchaser's click of an order for the selected product.
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