KR20220059381A - Profit model system using CodyCody platform - Google Patents

Profit model system using CodyCody platform Download PDF

Info

Publication number
KR20220059381A
KR20220059381A KR1020200144834A KR20200144834A KR20220059381A KR 20220059381 A KR20220059381 A KR 20220059381A KR 1020200144834 A KR1020200144834 A KR 1020200144834A KR 20200144834 A KR20200144834 A KR 20200144834A KR 20220059381 A KR20220059381 A KR 20220059381A
Authority
KR
South Korea
Prior art keywords
buyer
purchase
platform
seller
data
Prior art date
Application number
KR1020200144834A
Other languages
Korean (ko)
Inventor
노민규
Original Assignee
주식회사 수에즈코리아
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 주식회사 수에즈코리아 filed Critical 주식회사 수에즈코리아
Priority to KR1020200144834A priority Critical patent/KR20220059381A/en
Publication of KR20220059381A publication Critical patent/KR20220059381A/en

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
    • G06Q30/06—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
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G06Q30/0201—Market modelling; Market analysis; Collecting market data
    • 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

Landscapes

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

Abstract

The present invention relates to a profit model system using the CODICODI platform, enabling a purchaser to receive preferences, tastes and the like of purchasers through a shopping recommendation algorithm and selling (launching) purchaser-customized items when performing Internet selling (launching). In accordance with the present invention, in order for a seller to select items to be launched and have a higher sales rate, the seller is provided with seasonal clothing possession status of purchasers, clothing purchase trends of purchasers, purchase status frequency and average clothing possession status, cyclic status of new purchase and purchased item disuse of purchasers, a ratio between clothing and miscellaneous items of purchasers, preferred design data by purchaser age, online distribution channels and market shares and the like, through the profit model system using the CODICODI platform.

Description

코디코디 플랫폼을 이용한 수익모델 시스템{Profit model system using CodyCody platform}Profit model system using CodyCody platform}

본 발명은 온라인 상에서 거래되는 상품에 대하여 단순 구매 및 판매방식에서 코디코디 플랫폼의 쇼핑추천 알고리즘을 이용하여 판매자의 이익을 내기 위한 수익모델 시스템이다.The present invention is a profit model system for making a profit for a seller by using the shopping recommendation algorithm of the CodyCody platform in a simple purchase and sale method for products transacted online.

본 발명은 구매자의 구매데이터 및 구매자 선호 기호를 코디코디 플랫폼에 다양하게 데이타화하여 코디코디 플랫폼에 입점한 판매자에게 수익을 창출해 주는 수익모델 시스템이다. The present invention is a revenue model system that converts purchase data and buyer preference preferences of buyers into various data on the CodyCody platform to generate revenue for sellers who have entered the CodyCody platform.

구매자의 단순한 클릭이나 단순 구매되는 상품에 판매자가 제공하는 상품은 한정이 되어있다.The products provided by the seller to the purchaser's simple click or simple purchase are limited.

상기와 같이 단순한 상품 정보 제공에 의한 구매자가 구매 후 구매자가 착용하거나 사용시 여러 대중하고 중복되는 단점이 있었다. As described above, there was a disadvantage of overlapping with many people when the buyer wears or uses it after the purchase by the simple provision of product information.

이와같은 종래의 단순 한정된 상품으로 인하여 상품을 입점하는 판매자나 단순 상품을 구매하는 구매자에게는 즐거운 쇼핑이될 수 없으며, 판매자는 매출효율이 없었다.Due to such a conventional simple limited product, it cannot be a pleasant shopping for a seller who enters a store or a buyer who purchases a simple product, and the seller has no sales efficiency.

본 발명에서는 판매자가 코디코디 플랫폼에 입점을 하여 코디코디 플랫폼 에서 제공하는 다양한 데이터를 활용하여 더 좋은 상품을 입점하며, 그로 인하여 판매자의 매출 향상을 위한 코디코디 플랫폼을 이용한 수익모델 시스템을 제공하고자 한다. In the present invention, the seller enters the CodyCody platform and stores better products using various data provided by the CodyCody platform, thereby providing a profit model system using the CodyCody platform to improve the sales of the seller. .

본 발명 코디코디 플랫폼을 이용한 수익모델 시스템은 판매자가 당사의 코디코디 플렛폼에 입점과 동시에 구매자의 다양한 구매 데이터, 연관 상품 추천, 판매시 합리적인 수수료를 기반을 제공 함으로써 판매자에게 수익을 향상 시켜줄 수 있는 것을 포함한다.The revenue model system using the CodyCody platform of the present invention provides a basis for a reasonable commission when a seller enters our CodyCody platform and at the same time a buyer's various purchase data, related product recommendations, and sales. include

이와 같은 본 발명에 따르면 코디코디 플랫폼을 이용한 수익모델 시스템에 판매자가 가입(입점)을 하면서 코디코디 플랫폼에 축척된 구매자의 구매데이터 및 구매자 선호 기호등 다양한 데이터를 제공 받아서 구매자별 적정한 상품의 정보를 구매자별로 제공함으써 판매자의 상품 판매율을 향상시켜서 판매자가 지속적인 수익 창출을 하도록 코디코디 플랫폼을 이용한 수익모델 시스템에서 제공이 가능하다. According to the present invention as described above, when a seller joins (enters a store) in a revenue model system using the CodyCody platform, various data such as purchase data and buyer preference symbols accumulated in the CodyCody platform are provided, and information on appropriate products for each buyer is provided. By providing for each buyer, it is possible to provide in the revenue model system using the CodyCody platform so that sellers can continuously generate profits by improving the seller's product sales rate.

도 1은 코디코디 플랫폼을 이용한 수익모델 시스템의 쇼핑 추천 알고리즘을 나타낸 실시예 도면
도 2는 코디코디 플랫폼을 이용한 수익모델 시스템의 플랫폼 입점 상품 판매 수수료 흐름을 나타낸 실시예 도면
도 3은 코디코디 플랫폼을 이용한 수익모델 시스템의 구매자의 구매데이터 및 기호에 따른 데이터 기업 판매 흐름을 나타낸 실시예 도면1 is a diagram of an embodiment showing a shopping recommendation algorithm of a revenue model system using a CodyCody platform
Figure 2 is a diagram showing an embodiment of the sales commission flow of products entering the platform of the revenue model system using the CodyCody platform
Figure 3 is an embodiment diagram showing the data company sales flow according to the purchase data and preferences of the purchaser of the revenue model system using the CodyCody platform

본 발병 코디코디 플랫폼을 이용한 수익 모델 시스템은 쇼핑 추천 알고리즘(100)을 이용한 입점 상품 판매수수료(101) 및 연관상품입점(102), 구매자 타켓팅 광고수익(103)인 입점사 광고(104), 구매자 구매데이터(105)에서 구매자의소비패턴(106)을 판매자(입점사)에게 제공하여 구매자 및 판매자 모두 윈윈(107) 하도록하는 것을 기술의 특징으로 한다.The revenue model system using the CodyCody platform of the present outbreak is a store product sales commission 101 and related product store 102 using a shopping recommendation algorithm 100, a store advertisement 104 that is a buyer targeting advertising revenue 103, a buyer purchase It is a feature of the technology to provide the buyer's consumption pattern 106 from the data 105 to the seller (entering the store) so that both the buyer and the seller win-win 107 .

본 발명에서의 쇼핑추천 알고리즘은 판매자(입점사)가 데이터기반 쇼핑몰에 연관 상품을 추천을 위한 상품입점(201)을 통하여 상품 판매시 수수료를 청구(202)할 수 있으며, 상기와 같은 수수료는 업계내에 합리적인 수수료를 기반으로 초기에 공격적인 영업망을 확대(203)할 수 있다.In the shopping recommendation algorithm of the present invention, a seller (a store company) can charge a fee 202 when selling a product through a product store 201 for recommending a related product to a data-based shopping mall, and such a fee is within the industry. It is possible to expand (203) an initially aggressive sales network based on a reasonable fee.

상기와 같은 공격적인 영업망 확대(203)는 곧 구매자에 맞는 구매자 타켓팅 광고(103)를 통하여 수익을 낼 수가 있다.The aggressive sales network expansion 203 as described above can make profits through the buyer targeting advertisement 103 suitable for the buyer.

도 3은 구매자의 구매데이터 및 구매자 선호 기호(300)를 정리하여 기업에 판매를 하는 업무 흐름도이다.FIG. 3 is a flowchart illustrating a business of organizing a purchaser's purchase data and a purchaser's preference symbol 300 to sell to a company.

상기 판매 업무 흐름도의 데이터 1(400)은 구매자의 성별, 나이별(500)에 따른 구매자가 보유하고 있는 계절의상 보유 현황(501)을 데이터화 하여 판매자에게 제공하며, 데이터 2(401)는 구매자의 성별, 나이별(500)에 따른 의상 구매트랜드 및 구매현황 빈도(502)를 테이터화 하여 판매자에게 제공하며, 데이터 3(402)은 구매자의 성별, 나이별(500)에 따른 평균 의상 보유 현황(503)의 데이터를 판매자에게 제공하며, 데이터 4(403)는 구매자가 신규로 상품을 구매하는 행동 및 구입한 상품을 폐기하는 주기(505)에 대한 데이터를 판매자에게 제공하며, 데이터 5(404)는 구매자가 현재까지 구매한 의상과 잡화에 대한 비율(506)에 대한 데이터를 판매자에게 제공하며, 데이터 6(405)은 구매자의 나이대별 선호하는 디자인에 대한 데이터(506)를 판매자에게 제공하며, 데이터 7(406)은 온라인 유통 채널별 시장 점유율(507)을 판매자에게 제공함으로써 판매자가 구매자에게 맞춤형 상품을 제공할 수 있도록 하여 구매자의 맞춤 상품 선택으로 판매자의 상품 판매율을 향상하게 하여 판매자에게 이익을 낼 수 있도록 한다.Data 1 (400) of the sales work flow chart provides data to the seller of the seasonal clothes holding status (501) owned by the buyer according to the buyer's gender and age (500), and data 2 (401) is the buyer's According to gender and age (500), clothes purchase trends and purchase status frequency (502) are provided to sellers by data, and data 3 (402) is the average clothes holding status (500) by gender and age (500) of buyers. 503) is provided to the seller, and data 4 (403) provides the seller with data on the behavior of the buyer to purchase a new product and the cycle 505 to discard the purchased product, and data 5 (404) provides the seller with data on the ratio 506 of the clothes and miscellaneous goods purchased by the buyer so far, and the data 6 405 provides the seller with data 506 on the design preferred by the buyer's age, Data 7 (406) provides the seller with the market share 507 by online distribution channel so that the seller can provide a customized product to the buyer, thereby improving the seller's product sales rate through the buyer's selection of the customized product, thereby providing a profit to the seller make it possible to

Claims (1)

코디코디 플랫폼을 이용한 수익모델 시스템에 판매자가 가입후 쇼핑추천 알고리즘을 이용한 구매자의 구매데이터 및 구매의 선호, 기호등의 데이터를 제공 받아서 판매(입점 상품)에 활용하여 판매자의 이익향상을 추구한다.
상기 구매자의 구매데이터 및 선호, 기호에는 구매자의 성별, 나이별 계절 의상 보유현황, 구매자의 성별 나이별 의상 구매트랜드 및 구매현황 빈도, 구매자의 평균 의상 보유현황, 구매자의 신규 구매와 폐기상품에 대한 구매자 행동 주기현황, 구매자의 의상과 잡화에 대한 소유비율, 구매자의 나이대별 선호 디자인 데이터, 구매자의 온라인 유통채널별 시장 점유율등의 데이터를 포함하는 시스템After the seller joins the revenue model system using the CodyCody platform, the buyer's purchase data using the shopping recommendation algorithm and data such as purchase preference and preference are provided and used for sales (stored products) to improve the seller's profit.
The purchase data, preferences, and preferences of the buyer include the buyer's gender and seasonal clothing possession status by age, the purchase trend and purchase trend frequency by gender and age of the buyer, the average purchase status of the buyer, and the purchaser's new purchase and disposal information. A system that includes data such as the status of the buyer's behavior cycle, the buyer's ownership ratio for clothes and miscellaneous goods, the preferred design data by the buyer's age, and the buyer's market share by online distribution channel
KR1020200144834A 2020-11-02 2020-11-02 Profit model system using CodyCody platform KR20220059381A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
KR1020200144834A KR20220059381A (en) 2020-11-02 2020-11-02 Profit model system using CodyCody platform

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
KR1020200144834A KR20220059381A (en) 2020-11-02 2020-11-02 Profit model system using CodyCody platform

Publications (1)

Publication Number Publication Date
KR20220059381A true KR20220059381A (en) 2022-05-10

Family

ID=81591574

Family Applications (1)

Application Number Title Priority Date Filing Date
KR1020200144834A KR20220059381A (en) 2020-11-02 2020-11-02 Profit model system using CodyCody platform

Country Status (1)

Country Link
KR (1) KR20220059381A (en)

Similar Documents

Publication Publication Date Title
US20130132179A1 (en) System and Method for Combining Group Buying with Regular Selling
Rahayu et al. Marketing Communication Strategy with E-Commerce
Ajizah et al. The Role of Positive Emotion as a Mediator of Shopping Lifestyle and Hedonic Shopping Motivation Towards Impulse Buying at TikTok Shop (Case on TikTok Shop Customers)
KR20220059381A (en) Profit model system using CodyCody platform
Mellita et al. E commerce and women empowerment: challenge for women-owned small business in developing country
Pluta-Olearnik et al. Multichannel selling–the key to success in retail
Muntaha E-Commerce Success Factors: PLS-SEM Approach
Xiao The Role of Social Media in the Purchase of Luxury Goods–Taking Louis Vuitton as an Example
Pokhylko et al. Drop shipping development under COVID-19 circumstances as the most common method of e-commerce
Nazilah The role of the marketplace shopee as A Necis62 marketing media in comal district, pemalang regency
Mohammadi Exploring the relationships between retail brands and consumer store loyalty
Prabowo et al. Consumer Acceptance in Grocery Shopping Mobile Applications
Platon The evolution of e-commerce in Romania
KUCĘBA et al. Evaluation of factors that determine the development of commercial entities in the online shopping segment
KR20190016404A (en) Method and Apparatus thereof O2O Brand Convergence Commerce and Marketing Service for the Analogous Consumer Group
Reibstein Who is buying on the Internet, 1999?
Jelev Future modern retail solutions and shopper experience
Ferren et al. The Influence of Price, Brand Equity and E-Commerce on Purchasing Decisions of Shure Brand Microphones at PT. Sierra Mandiri Distribusindo: The Influence of Price, Brand Equity and E-Commerce on Purchasing Decisions of Shure Brand Microphones at PT. Sierra Mandiri Distribusindo
KR101842240B1 (en) Method for managing member on the market
Arora et al. Impact of online selling on physical retail in India
Siregar et al. Gaining Consumer Trust through Quality of Information and Interaction: An Empirical Study on Online Shopping
Langviniene et al. Online Group Buying Factors–Conceptual Model for Understanding Consumer Value
Iqbal et al. Future of Retail Business in India and Advantage or Disadvantages of E-Commerce in Retail Market.
Kot et al. Development of international electronic commerce
KR20220125071A (en) Personalized product coordination recommendation systems and methods

Legal Events

Date Code Title Description
E902 Notification of reason for refusal
E601 Decision to refuse application