CN108230000A - A kind of supermarket's dynamic shopping area division methods - Google Patents

A kind of supermarket's dynamic shopping area division methods Download PDF

Info

Publication number
CN108230000A
CN108230000A CN201611191059.9A CN201611191059A CN108230000A CN 108230000 A CN108230000 A CN 108230000A CN 201611191059 A CN201611191059 A CN 201611191059A CN 108230000 A CN108230000 A CN 108230000A
Authority
CN
China
Prior art keywords
supermarket
user
purchasing
purchase
shopping area
Prior art date
Legal status (The legal status 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 status listed.)
Pending
Application number
CN201611191059.9A
Other languages
Chinese (zh)
Inventor
李汉忠
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Individual
Original Assignee
Individual
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 Individual filed Critical Individual
Priority to CN201611191059.9A priority Critical patent/CN108230000A/en
Publication of CN108230000A publication Critical patent/CN108230000A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0201Market modelling; Market analysis; Collecting market data
    • G06Q30/0204Market segmentation
    • G06Q30/0205Location or geographical consideration

Abstract

The invention discloses a kind of supermarket's dynamic shopping area division methods, include the following steps:S101, count the purchasing demand of supermarket user in one section of duration, and construct purchasing model, supermarket is divided by several shopping areas according to the purchasing model, the commodity of some categories are placed in each region, what the commodity in same region were not based on category correlation but were combined based on purchase relevance;S102, supermarket divide supermarket according to the division of shopping area;S103 continues the satisfaction of counting user and the transition of user's purchasing habits, the module of adjustment purchase in real time, and shopping area is adjusted in real time, carries out the supermarket of planning again layout.The present invention provides a kind of Dynamic Distribution of supermarket method based on user's purchasing demand, the present invention dynamically dynamically can be divided purchase region according to the buying habit of group of subscribers, correlation etc., so as to promote shopping efficiency, more hommization.

Description

A kind of supermarket's dynamic shopping area division methods
Technical field
The present invention relates to supermarket, technical field of the computer network more particularly to a kind of supermarket's dynamic shopping area division sides Method.
Background technology
Supermarket, that is, supermarket generally refers to commodity open-shelf display, customer's self-service, payment for goods lump-sum settlement, to manage Shop based on fresh food, various household supplies articles for use.Supermarket be a kind of consumer's self-service, open type it is free sell goods zero Sell enterprise.It is grown up after World War II, is risen at first in America and Europe, oneself has super city in American-European more than ten of country now Field 200,000.Supermarket is generally sold based on food and daily necessities, and feature is mainly that 1. small profits and quick turnover are substantially divided into Shop-assistant manages low and medium-grade goods;2. commodity use inner wrapping, indicate component, specification and price;3. it has trolley or goods basket, care for Objective self-selection store;4. lump-sum settlement of going out is paid the bill.The supermarket at initial stage is simultaneous to sell a small amount of groceries based on food;At present except upper Cosmetics, stationery, hardware, clothes etc., up to seven or eight thousand kinds are also be concurrently in charge of outside stating, develops at present to integrated service, adds parking lot, Coffee-house, the various service facilities such as club, cinema and bank, insurance, postal service, have developed rapidly, Japanese supermarket Sales volume has been more than department store
However, user when supermarket is done shopping, has intrinsic consumption habit, if by being practised to the consumption of each user It is used to be matched, it is pushed so as to fulfill personalized shopping, then will promote the efficiency of user, and solution is had been found that in the prior art The scheme of the problem.
Invention content
A kind of supermarket's dynamic shopping area is provided and is divided it is an object of the invention to overcome the deficiency of the above-mentioned prior art Method.
The present invention provides a kind of supermarket's dynamic shopping area division methods to achieve the above object, includes the following steps:
S101, counts the purchasing demand of supermarket user in one section of duration, and constructs purchasing model, will be super according to the purchasing model City is divided into several shopping areas, the commodity of some categories of placement in each region, and the commodity in same region are not bases It is combined in category correlation but based on purchase relevance;
S102, supermarket divide supermarket according to the division of shopping area;
S103 continues the satisfaction of counting user and the transition of user's purchasing habits, the module of adjustment purchase in real time, and to purchase Object area is adjusted in real time, carries out the supermarket of planning again layout.
Preferably, the purchase module is calculated using computer.
The beneficial effects of the invention are as follows:The present invention provides a kind of Dynamic Distribution sides of supermarket based on user's purchasing demand Method, existing supermarket is to carry out planning supermarket laying for goods based on category, although classification is clear and definite in this way, it is not base It is divided in user's buying habit, it, can be from statistics, it can be seen that it also has maximum probability when buying a certain commodity such as user Another commodity are bought, and may and not have category correlation between the two commodity, the present invention is specific primarily directed to this It proposing, the present invention dynamically dynamically can be divided purchase region according to the buying habit of group of subscribers, correlation etc., So as to promote shopping efficiency, more hommization.
Description of the drawings
Fig. 1 is the flow diagram of one embodiment of the invention.
The embodiments will be further described with reference to the accompanying drawings for the realization, the function and the advantages of the object of the present invention.
Specific embodiment
With reference to Fig. 1, the present invention provides a kind of supermarket's dynamic shopping area division methods, includes the following steps:S101, statistics Supermarket is divided into several by the purchasing demand of supermarket user in one section of duration, and construct purchasing model according to the purchasing model Shopping area, places the commodity of some categories in each region, and the commodity in same region are not based on category correlation But be combined based on purchase relevance;S102, supermarket divide supermarket according to the division of shopping area;S103, Continue counting user satisfaction and user's purchasing habits transition, in real time adjustment purchase module, and to shopping area into Row adjustment in real time carries out the supermarket of planning again layout.
One embodiment of the present of invention, the purchase module are calculated using computer.
In conclusion the present invention provides a kind of Dynamic Distribution of supermarket method based on user's purchasing demand, it is existing super City is to carry out planning supermarket laying for goods based on category, although classification is clear and definite in this way, it is not based on user and buys habit Used division, it, can be from statistics, it can be seen that it also has maximum probability to buy another quotient when buying a certain commodity such as user Product, and may and not have category correlation between the two commodity, the present invention is primarily directed to this specific proposition, this hair It is bright purchase region dynamically dynamically to be divided according to the buying habit of group of subscribers, correlation etc., so as to promote purchase Object efficiency, more hommization.
The method for pushing of the present invention can save the time of user, promote the purchase efficiency of user, and user is allowed to feel supermarket More intimate, intelligence.In the description of this specification, reference term " one embodiment ", " some embodiments ", " example ", " tool The description of body example " or " some examples " etc. mean to combine the specific features that the embodiment or example describe, structure, material or Person's feature is contained at least one embodiment of the present invention or example.In the present specification, to the schematic table of above-mentioned term It states and may not refer to the same embodiment or example.Moreover, particular features, structures, materials, or characteristics described can be It is combined in an appropriate manner in any one or more embodiments or example.
Although the embodiments of the present invention has been shown and described above, it is to be understood that above-described embodiment is example Property, it is impossible to limitation of the present invention is interpreted as, those of ordinary skill in the art are not departing from the principle of the present invention and objective In the case of can make changes, modifications, substitutions and variations to the above described embodiments within the scope of the invention.

Claims (2)

1. a kind of supermarket's dynamic shopping area division methods, which is characterized in that include the following steps:
S101, counts the purchasing demand of supermarket user in one section of duration, and constructs purchasing model, will be super according to the purchasing model City is divided into several shopping areas, the commodity of some categories of placement in each region, and the commodity in same region are not bases It is combined in category correlation but based on purchase relevance;
S102, supermarket divide supermarket according to the division of shopping area;
S103 continues the satisfaction of counting user and the transition of user's purchasing habits, the module of adjustment purchase in real time, and to purchase Object area is adjusted in real time, carries out the supermarket of planning again layout.
2. supermarket's dynamic shopping area division methods according to claim 1, which is characterized in that the purchase module uses Computer is calculated.
CN201611191059.9A 2016-12-21 2016-12-21 A kind of supermarket's dynamic shopping area division methods Pending CN108230000A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201611191059.9A CN108230000A (en) 2016-12-21 2016-12-21 A kind of supermarket's dynamic shopping area division methods

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201611191059.9A CN108230000A (en) 2016-12-21 2016-12-21 A kind of supermarket's dynamic shopping area division methods

Publications (1)

Publication Number Publication Date
CN108230000A true CN108230000A (en) 2018-06-29

Family

ID=62650821

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201611191059.9A Pending CN108230000A (en) 2016-12-21 2016-12-21 A kind of supermarket's dynamic shopping area division methods

Country Status (1)

Country Link
CN (1) CN108230000A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113177766A (en) * 2021-06-29 2021-07-27 深圳远荣智能制造股份有限公司 Method and device for storing materials and terminal equipment

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101645157A (en) * 2009-06-03 2010-02-10 庄秀宝 E-shop system
CN104318468A (en) * 2014-10-30 2015-01-28 成都英博联宇科技有限公司 Shopping system for supermarket
CN105427125A (en) * 2015-10-29 2016-03-23 电子科技大学 Goods clustering method based on goods network connection graph

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101645157A (en) * 2009-06-03 2010-02-10 庄秀宝 E-shop system
CN104318468A (en) * 2014-10-30 2015-01-28 成都英博联宇科技有限公司 Shopping system for supermarket
CN105427125A (en) * 2015-10-29 2016-03-23 电子科技大学 Goods clustering method based on goods network connection graph

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113177766A (en) * 2021-06-29 2021-07-27 深圳远荣智能制造股份有限公司 Method and device for storing materials and terminal equipment

Similar Documents

Publication Publication Date Title
Ernst et al. The effects of selling packaged goods on inventory decisions
CN107862549A (en) A kind of reward voucher put-on method and system
CN107886356A (en) A kind of dynamic creation method of supermarket's reward voucher denomination
Larson Psychological pricing principles for organizations with market power
Kusuma et al. A study on organized retailing and its challenges and retail customer services
Sinha et al. Format choice of food and grocery retailers
CN108230000A (en) A kind of supermarket's dynamic shopping area division methods
Chandrashekhar A study on organized retail on unorganized retail outlets in Mysore city
CN108230551A (en) A kind of unmanned supermarket returns goods method automatically
Hattingh et al. South Africa’s cautious consumer
Wong E-commerce and International Trade
Irvine et al. The rise and rise of online retail
CN109711938A (en) A kind of the supply of commodities method and supply of commodities platform of suitable modern electric business
Bhatnagar et al. The Changing Face of Indian Retail Industry-A Journey from Unorganized Retail to Organized Retail
Kulczyńska The Gubin-Guben transborder urban complex as an arena of consumer behaviour
Branska et al. Sales of Consumer Chemicals in Zero-packaging Stores-a Challenge for Small and Medium-sized Chemical Companies
CN108229599A (en) A kind of ultrasound commodity intelligent reset method
Koh et al. Price-matching guarantees: Influences on pricing strategy in a market with asymmetric firms
CN108229600A (en) A kind of supermarket's consumer articles return method automatically after losing
CN108217044A (en) A kind of automatic Transfer method of supermarket's article to be purchased
Abrori et al. Determinants of Consumer Purchase Decisions with Price and Personal Factors as Control Variables
CN108230641A (en) A kind of supermarket does shopping algorithm at random
Kasambu et al. Customer Delight: A Stepin the Direction ofBusiness Development
Arora et al. Impact of online selling on physical retail in India
Günther et al. Shops and Household Characteristics

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
WD01 Invention patent application deemed withdrawn after publication

Application publication date: 20180629

WD01 Invention patent application deemed withdrawn after publication