CN107451843A - A kind of supermarket's product promotion method based on big data - Google Patents
A kind of supermarket's product promotion method based on big data Download PDFInfo
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- CN107451843A CN107451843A CN201610377590.9A CN201610377590A CN107451843A CN 107451843 A CN107451843 A CN 107451843A CN 201610377590 A CN201610377590 A CN 201610377590A CN 107451843 A CN107451843 A CN 107451843A
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- Prior art keywords
- supermarket
- account
- commodity
- server
- payment platform
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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
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0207—Discounts or incentives, e.g. coupons or rebates
- G06Q30/0224—Discounts or incentives, e.g. coupons or rebates based on user history
Abstract
The present invention relates to a kind of supermarket's product promotion method based on big data, comprise the following steps：S1, supermarket cash register read merchandise news to be paid, calculate commodity total price；Payment code in S2, supermarket cash register scanning payment platform APP, payment platform APP are paid the bill；S3, supermarket cash register upload the merchandise news that is paid for server, and payment platform APP uploads accounts information to server, and server is by described merchandise news and accounts information associated storage；S4, server use the collaborative filtering based on user, calculate the degree of association between each account and other accounts, push supermarket's cyber product coupons to payment platform APP, the applicable commodity of described supermarket's cyber product coupons include：Account was not bought and belonged to generic commodity with the account degree of association highest account commodity bought and the commodity bought with account.Compared with prior art, more attractive of the present invention, purpose, information content are simplified, and reward voucher utilization rate is high.
Description
Technical field
The present invention relates to a kind of supermarket's product promotion method, more particularly, to a kind of supermarket's product promotion based on big data
Method.
Background technology
Existing entity supermarket product promotion includes following two modes：
1) poster with extensive stock favor information is placed on cashier outlet port, voluntarily taken away after shopper checkout
Poster is read, and buys preferential commodity interested when doing shopping next time.
2) huge poster is puted up in shop door mouth, the crowd for attracting to pass by, which stops, watches favor information.
It is super for that can not often pass but above two promotion method needs consumer to obtain favor information to shop in person
The consumer in city, it is difficult to obtain favor information at any time, and this prevents to carry out special for the buying habit of each consumer
Fixed product promotion, excessive merchandise news is dazzling on poster, it is difficult to which therefrom quick obtaining is most suitable excellent
Favour information.
The content of the invention
It is an object of the present invention to overcome the above-mentioned drawbacks of the prior art and provide one kind is targeted, is not required to
Consumer is wanted to obtain supermarket's product promotion method based on big data of favor information to shop.
The purpose of the present invention can be achieved through the following technical solutions：
A kind of supermarket's product promotion method based on big data, comprises the following steps：
S1, supermarket cash register read merchandise news to be paid, calculate commodity total price；
Payment code in S2, supermarket cash register scanning payment platform APP, payment platform APP are paid the bill；
S3, supermarket cash register upload the merchandise news being paid for server, and payment platform APP uploads account to server
Information, server is by described merchandise news and accounts information associated storage；
S4, server use the collaborative filtering based on user, calculate associating between each account and other accounts
Degree, supermarket's cyber product coupons are pushed to payment platform APP, the applicable commodity of described supermarket's cyber product coupons include：Account is not
Bought and belonged to generic with the account degree of association highest account commodity bought and the commodity bought with account
Commodity.
In described step S3, the method for information association storage is：Serial number is generated when supermarket cash register is collected money and is sent
Payment platform APP is given, includes serial number respectively in described merchandise news and accounts information, for merchandise news and account to be believed
Breath association.
Described supermarket's cyber product coupons can transfer other accounts by payment platform APP.
In described step S1 and step S3, described merchandise news includes trade name, quantity and time buying.
In described step S4, server is according to commodity purchasing time prediction next purchase day of account, and in next
Individual purchase pushes corresponding supermarket cyber product coupons to mobile phone a few days ago.
Described next purchase date calculating method is：Judge item property, will if commodity are the running stores bought
The time buying of commodity adds average shopping cycle of the elapsed time of commodity as next purchase day, otherwise calculating account, will
The last time shopping day of account is plus the cycle of averagely doing shopping as next purchase day.
Compared with prior art, the present invention has advantages below：
(1) merchandise news is obtained using supermarket cash register, obtains accounts information using payment platform, the two association is deposited
Storage, the predictable account consumption propensity of calculating is analyzed using big data, targetedly supermarket's reward voucher is pushed to account, with tradition
Poster reward voucher is compared, and more attractive, purpose, information content are simplified.
(2) supermarket's cyber product coupons can transfer other accounts by payment platform APP, improve reward voucher utilization rate.
(3) server is according to commodity purchasing time prediction next purchase day of account, and in next purchase a few days ago to
The corresponding supermarket's cyber product coupons of mobile phone push, reduce the interference to consumer, improve user satisfaction.
(4) this method can effectively facilitate payment platform APP popularization.
Brief description of the drawings
Fig. 1 is the schematic flow sheet of the inventive method.
Embodiment
The present invention is described in detail with specific embodiment below in conjunction with the accompanying drawings.The present embodiment is with technical solution of the present invention
Premised on implemented, give detailed embodiment and specific operating process, but protection scope of the present invention is not limited to
Following embodiments.
Embodiment
As shown in figure 1, a kind of supermarket's product promotion method based on big data, comprises the following steps：
S1, supermarket cash register read merchandise news to be paid, calculate commodity total price.
Payment code in S2, supermarket cash register scanning payment platform APP, payment platform APP are paid the bill；
Payment platform APP includes any one or more in Alipay, wechat payment, Baidu's wallet, millet wallet.
S3, supermarket cash register upload the merchandise news being paid for server, and payment platform APP uploads account to server
Information, server is by described merchandise news and accounts information associated storage；
Serial number is generated when supermarket cash register is collected money and is sent to payment platform APP, described merchandise news and account letter
Include serial number in breath respectively, for merchandise news to be associated with accounts information, merchandise news includes trade name, quantity and purchase
Buy the time.
S4, server use the collaborative filtering based on user, calculate associating between each account and other accounts
Degree, according to the commodity purchasing time prediction of account next purchase day, and in it is next purchase day by payment platform APP to
The corresponding supermarket's cyber product coupons of mobile phone push.
The applicable commodity of supermarket's cyber product coupons include：Account was not bought and purchased with account degree of association highest account
The commodity bought and the commodity bought with account belong to generic commodity.Such as：Certain consumer A often buys toys
Product and alcohol product are simultaneously paid the bill using payment platform, and consumer B equally often buys toys product and alcohol product, are calculated
Afterwards, the account for being B with A account degree of association highest account, one day, A have purchased electric toy car, then server pushes away to A
Send the product coupons related to electric toy car such as electric toy gun, battery, or often bought with a red wine according to B
Consumption habit, the reward voucher of the red wine is pushed to A, so as to meet consumer demand.
It is next purchase date calculating method be：Item property is judged, if commodity are the running stores bought, by commodity
Time buying adds average shopping cycle of the elapsed time of commodity as next purchase day, otherwise calculating account, by account
Last time shopping day is plus the cycle of averagely doing shopping as next purchase day.For example, consumer C have purchased one bag in one day
5KG rice, according in consumer history's purchaser record, the interval time (such as one month) between 5KG rice is bought twice,
Elapsed time as 5KG rice is used for predicting next purchase day, and reward voucher, pin are pushed in the forward direction C of purchase day mobile phone
To this commodity, can meet the needs of C more than the last week is carried；If server is intended to the business corresponding to the cyber product coupons of C push
Product are not the commodity that C was bought, and are the commodity that D is often bought, D be with C degree of association highest accounts, then server is according to C
History shopping record, calculate C average shopping cycle (such as 1 week or 2 weeks etc.) for predicting next shopping day, next
The commodity that the forward direction C push D of individual shopping day arrival is often bought.
If it can be transferred other accounts by consumer without using reward voucher by payment platform APP.
Claims (5)
- A kind of 1. supermarket's product promotion method based on big data, it is characterised in that comprise the following steps：S1, supermarket cash register read merchandise news to be paid, calculate commodity total price；Payment code in S2, supermarket cash register scanning payment platform APP, payment platform APP are paid the bill；S3, supermarket cash register upload the merchandise news being paid for server, and payment platform APP uploads account letter to server Breath, server is by described merchandise news and accounts information associated storage；S4, server use the collaborative filtering based on user, calculate the degree of association between each account and other accounts, to Payment platform APP push supermarket cyber product coupons, the applicable commodity of described supermarket's cyber product coupons include：Account was not bought And belong to generic commodity with the account degree of association highest account commodity bought and the commodity bought with account.
- A kind of 2. supermarket's product promotion method based on big data according to claim 1, it is characterised in that described step In rapid S3, the method for information association storage is：Serial number is generated when supermarket cash register is collected money and is sent to payment platform APP, institute Include serial number in the merchandise news and accounts information stated respectively, for merchandise news to be associated with accounts information.
- A kind of 3. supermarket's product promotion method based on big data according to claim 1, it is characterised in that described step In rapid S1 and step S3, described merchandise news includes trade name, quantity and time buying.
- A kind of 4. supermarket's product promotion method based on big data according to claim 3, it is characterised in that described step In rapid S4, server is according to commodity purchasing time prediction next purchase day of account, and in next purchase a few days ago to mobile phone The corresponding supermarket's cyber product coupons of push.
- 5. a kind of supermarket's product promotion method based on big data according to claim 4, it is characterised in that under described Buying date calculating method for one is：Judge item property, if commodity are the running stores bought, the time buying of commodity is added Otherwise the elapsed time of commodity calculates the average shopping cycle of account, the last time of account is purchased as next purchase day Thing day is plus the cycle of averagely doing shopping as next purchase day.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610377590.9A CN107451843A (en) | 2016-05-31 | 2016-05-31 | A kind of supermarket's product promotion method based on big data |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610377590.9A CN107451843A (en) | 2016-05-31 | 2016-05-31 | A kind of supermarket's product promotion method based on big data |
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| Publication Number | Publication Date |
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| CN107451843A true CN107451843A (en) | 2017-12-08 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN201610377590.9A Pending CN107451843A (en) | 2016-05-31 | 2016-05-31 | A kind of supermarket's product promotion method based on big data |
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107948322A (en) * | 2017-12-29 | 2018-04-20 | 新开普电子股份有限公司 | A kind of information-pushing method based on POS terminal |
| CN108320217A (en) * | 2018-02-02 | 2018-07-24 | 广东轻工职业技术学院 | Ecommerce information management system |
| CN108805647A (en) * | 2018-04-18 | 2018-11-13 | 杭州量聚网络科技有限公司 | A kind of online extension system of commodity |
| CN110046968A (en) * | 2019-04-23 | 2019-07-23 | 佛山远钧智慧科技有限公司 | A kind of intelligent recommendation system for purchase based on trade in commodities |
| TWI789566B (en) * | 2019-12-25 | 2023-01-11 | 全家便利商店股份有限公司 | Intelligent accounting management system and intelligent accounting management method |
| CN117132331A (en) * | 2023-10-25 | 2023-11-28 | 福建喜购宝信息科技股份有限公司 | Method for mall to provide sales promotion integration reminding for user |
-
2016
- 2016-05-31 CN CN201610377590.9A patent/CN107451843A/en active Pending
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107948322A (en) * | 2017-12-29 | 2018-04-20 | 新开普电子股份有限公司 | A kind of information-pushing method based on POS terminal |
| CN108320217A (en) * | 2018-02-02 | 2018-07-24 | 广东轻工职业技术学院 | Ecommerce information management system |
| CN108805647A (en) * | 2018-04-18 | 2018-11-13 | 杭州量聚网络科技有限公司 | A kind of online extension system of commodity |
| CN110046968A (en) * | 2019-04-23 | 2019-07-23 | 佛山远钧智慧科技有限公司 | A kind of intelligent recommendation system for purchase based on trade in commodities |
| TWI789566B (en) * | 2019-12-25 | 2023-01-11 | 全家便利商店股份有限公司 | Intelligent accounting management system and intelligent accounting management method |
| CN117132331A (en) * | 2023-10-25 | 2023-11-28 | 福建喜购宝信息科技股份有限公司 | Method for mall to provide sales promotion integration reminding for user |
| CN117132331B (en) * | 2023-10-25 | 2024-01-26 | 福建喜购宝信息科技股份有限公司 | Method for mall to provide sales promotion integration reminding for user |
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Application publication date: 20171208 |
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| WD01 | Invention patent application deemed withdrawn after publication |