CN108389021A - A kind of fashion chain store purchasing system based on big data - Google Patents
A kind of fashion chain store purchasing system based on big data Download PDFInfo
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- CN108389021A CN108389021A CN201810267313.1A CN201810267313A CN108389021A CN 108389021 A CN108389021 A CN 108389021A CN 201810267313 A CN201810267313 A CN 201810267313A CN 108389021 A CN108389021 A CN 108389021A
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- big data
- clothes
- purchasing system
- system based
- chain store
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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
- G06Q10/00—Administration; Management
- G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
- G06Q10/087—Inventory or stock management, e.g. order filling, procurement or balancing against orders
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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
- G06Q30/0201—Market modelling; Market analysis; Collecting market data
- G06Q30/0202—Market predictions or forecasting for commercial activities
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Abstract
The invention discloses a kind of fashion chain store purchasing system based on big data, the purchasing system includes big data server, and the big data server connection communication unit and storage unit, the big data server, communication unit and storage unit are all beyond the clouds；The communication unit connection user terminal, management terminal, order management unit and stock-keeping unit.The invention has the advantages that replacing intuition with data dynamically to optimize inventory, purchasing management person can check the inventory of current shops whenever and wherever possible；Dynamic optimization price, reduces and overstocks inventory, and the inventory of each shops can optimize flowing on the whole.
Description
Technical field
The present invention relates to big data application fields, and system is purchased more particularly, to a kind of fashion chain store based on big data
System.
Background technology
In traditional clothes shop's enterprise operation, since the supplier of clothes, style and size parameter are numerous, to a certain spy
Determining the clothes of style size, then quantity in stock is not too large, to produce two problems：One is that customer buys clothes and is likely to encounter
Short in size；The clothes shops Ling Ergeshi easy to produce overstocked.How chain store coordinates the inventory of each shops, and how timely processing is overstock
Product is two urgent problems.Clothes shop before this is exactly that customer is advised to select other styles generally directed to short in size, for
Overstocked then be that End Of Quarter gives a discount together, the two processes all there is a possibility that optimization.With the rise of big data technology, utilize
Past mass data excavates valuable information, to predict prospective clients' behavior, greatly reduces dependent on people
The experience of member.
Invention content
To solve the above-mentioned problems, the present invention proposes a kind of fashion chain store purchasing system based on big data.
To achieve the goals above, the present invention adopts the following technical scheme that：A kind of fashion chain store based on big data is adopted
Purchasing system, the purchasing system include big data server, the big data server connection communication unit and storage unit, institute
State big data server, communication unit and storage unit all beyond the clouds；Communication unit connection user terminal, management terminal,
Order management unit and stock-keeping unit；
The order management unit is used to record the order detail that all guests daily buy clothes；
The stock-keeping unit is used to record the quantity of the current all kinds of clothes of shops；
The storage unit is for recording order and the historical data of inventory.
Further, the user terminal, management terminal, order management unit and stock-keeping unit are fitted with wirelessly
Communication module.
Further, the big data server is used to count the gross profit sold in a period of time.
Further, the price of clothes of the big data server for calculating and formulating stock.
Further, the big data server is used to calculate and formulate the quantity in stock of all kinds of clothes of each shops.
Further, clothes of the big data server for analyzing each clothes supplier are above same in the previous year
The variation tendency of average sales volume in one chronomere of phase and the sales volume in a nearest chronomere, the big data
Server is used to predict the garment marketing amount of each manufacturer.
Further, the management terminal is for showing every daily sales of all kinds of clothes of each shops and current inventory
Amount.
Further, the management terminal is used to set the high alarm setting and lower limiting value of all kinds of clothes.
Further, the user terminal checks the money of all kinds of clothes of each shops for client with picture, visual form
Formula and quantity in stock, the user terminal preengage fitting and the purchase that places an order for client.
Compared with prior art, the beneficial effects of the present invention are：
1, intuition is replaced with data dynamically to optimize inventory, purchasing management person can check the library of current shops whenever and wherever possible
It deposits；
2, dynamic optimization price, reduces and overstocks inventory, and the inventory of each shops can optimize flowing on the whole.
Description of the drawings
Fig. 1 is the system block diagram of embodiment according to the present invention.
Specific implementation mode
For a clearer understanding of the technical characteristics, objects and effects of the present invention, now control illustrates this hair
Bright specific implementation mode, but protection scope of the present invention be not limited to it is as described below.
As shown in Figure 1, the present invention provides a kind of fashion chain store purchasing system based on big data, the purchasing system
Including big data server, the big data server connection communication unit and storage unit, the big data server, communication
Unit and storage unit are all beyond the clouds；The communication unit connection user terminal, management terminal, order management unit and inventory's pipe
Manage unit；
The order management unit is used to record the order detail that all guests daily buy clothes；
The stock-keeping unit is used to record the quantity of the current all kinds of clothes of shops；
The storage unit is for recording order and the historical data of inventory.
Preferably, the user terminal, management terminal, order management unit and stock-keeping unit are fitted with channel radio
Believe module.
Further, the big data server is used to count the gross profit of sale in a period of time, allows purchasing management person
Cost benefit is got information about.
Further, the price of clothes of the big data server for calculating and formulating stock, big data clothes
The clothes price that needs are changed is transferred to order management unit by business device, if inventory greatly if overstocked clothes given a discount sell.
Preferably, the big data server is used to calculate and formulate the quantity in stock of all kinds of clothes of each shops, some shop
Certain clothes sell out such as some size, then big data server, which calculates, works out inventory's plan for adjustment, and shops personnel can be by
Inventory movement is arranged according to plan for adjustment.
Preferably, the big data server is used to analyze the clothes of each clothes supplier above same period in the previous year
The variation tendency of average sales volume in one chronomere and the sales volume in a nearest chronomere, the big data clothes
Business device is used to predict the garment marketing amount of each manufacturer, and it is 15 or 30 days particularly to select a chronomere, when according to one
Between unit sales amount trend prediction data as principal parameter, the average sales volume in conjunction with 15 days same periods past 2 year or 30 days is
Benchmark, principal parameter limit in the deviation percent up and down of this benchmark, particularly select 20%, revised parameter is finally to join
Number, secondary purchase quantity to the supplier are carried out according to this final argument.
Further, the management terminal is for showing every daily sales of all kinds of clothes of each shops and current inventory
Amount.
Further, the management terminal is used to set the high alarm setting and lower limiting value of all kinds of clothes, and inventory's upper limit alarm then stops
The clothes for overstocking style are only purchased, inventory is too small then to be determined to purchase according to weather condition, for example winter finishes soon, then winter dress
With regard to needing to stop buying.
Preferably, the user terminal checks the style of all kinds of clothes of each shops for client with picture, visual form
And quantity in stock, the user terminal preengage fitting and the purchase that places an order for client.
The above disclosure is only the preferred embodiments of the present invention, cannot limit the right model of the present invention with this certainly
It encloses, therefore equivalent changes made in accordance with the claims of the present invention, is still within the scope of the present invention.
Claims (9)
1. a kind of fashion chain store purchasing system based on big data, it is characterised in that：The purchasing system includes big data clothes
Business device, the big data server connection communication unit and storage unit, the big data server, communication unit and storage are single
Member is all beyond the clouds；The communication unit connection user terminal, management terminal, order management unit and stock-keeping unit；
The order management unit is used to record the order detail that all guests daily buy clothes；
The stock-keeping unit is used to record the quantity of the current all kinds of clothes of shops；
The storage unit is for recording order and the historical data of inventory.
2. a kind of fashion chain store purchasing system based on big data as described in claim 1, it is characterised in that：The user
Terminal, management terminal, order management unit and stock-keeping unit are fitted with wireless communication module.
3. a kind of fashion chain store purchasing system based on big data as described in claim 1, it is characterised in that：The big number
It is used to count the gross profit sold in a period of time according to server.
4. a kind of fashion chain store purchasing system based on big data as described in claim 1, it is characterised in that：The big number
It is used to calculate and formulate the price of the clothes of stock according to server.
5. a kind of fashion chain store purchasing system based on big data as described in claim 1, it is characterised in that：The big number
It is used to calculate and formulate the quantity in stock of all kinds of clothes of each shops according to server.
6. a kind of fashion chain store purchasing system based on big data as described in claim 1, it is characterised in that：The big number
It is used to analyze the average pin of the clothes of each clothes supplier in the previous year in one chronomere of the above same period according to server
The variation tendency of the amount of selling and the sales volume in a nearest chronomere, the big data server is for predicting each manufacturer
Garment marketing amount.
7. a kind of fashion chain store purchasing system based on big data as described in claim 1, it is characterised in that：The management
Terminal is for showing every daily sales of all kinds of clothes of each shops and current quantity in stock.
8. a kind of fashion chain store purchasing system based on big data as described in claim 1, it is characterised in that：The management
Terminal is used to set the high alarm setting and lower limiting value of all kinds of clothes.
9. a kind of fashion chain store purchasing system based on big data as described in claim 1, it is characterised in that：The user
Terminal checks that the style and quantity in stock of all kinds of clothes of each shops, the user terminal are used for client with picture, visual form
Fitting and the purchase that places an order are preengage in client.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810267313.1A CN108389021A (en) | 2018-03-28 | 2018-03-28 | A kind of fashion chain store purchasing system based on big data |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810267313.1A CN108389021A (en) | 2018-03-28 | 2018-03-28 | A kind of fashion chain store purchasing system based on big data |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN108389021A true CN108389021A (en) | 2018-08-10 |
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ID=63072997
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810267313.1A Withdrawn CN108389021A (en) | 2018-03-28 | 2018-03-28 | A kind of fashion chain store purchasing system based on big data |
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| CN (1) | CN108389021A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112101986A (en) * | 2020-08-20 | 2020-12-18 | 上海伯俊软件科技有限公司 | Method and equipment for determining commodity readjustment requirement |
-
2018
- 2018-03-28 CN CN201810267313.1A patent/CN108389021A/en not_active Withdrawn
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112101986A (en) * | 2020-08-20 | 2020-12-18 | 上海伯俊软件科技有限公司 | Method and equipment for determining commodity readjustment requirement |
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| PB01 | Publication | ||
| PB01 | Publication | ||
| WW01 | Invention patent application withdrawn after publication | ||
| WW01 | Invention patent application withdrawn after publication |
Application publication date: 20180810 |