CN107369048A - A kind of footwear take big data cloud platform - Google Patents

A kind of footwear take big data cloud platform Download PDF

Info

Publication number
CN107369048A
CN107369048A CN201710618570.0A CN201710618570A CN107369048A CN 107369048 A CN107369048 A CN 107369048A CN 201710618570 A CN201710618570 A CN 201710618570A CN 107369048 A CN107369048 A CN 107369048A
Authority
CN
China
Prior art keywords
logistics
year
employment
enterprise
region
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
CN201710618570.0A
Other languages
Chinese (zh)
Inventor
周建清
王振宇
郑祥智
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.)
Wenzhou Lucheng District New Research Institute Of Advanced Technology
Original Assignee
Wenzhou Lucheng District New Research Institute Of Advanced Technology
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 Wenzhou Lucheng District New Research Institute Of Advanced Technology filed Critical Wenzhou Lucheng District New Research Institute Of Advanced Technology
Priority to CN201710618570.0A priority Critical patent/CN107369048A/en
Publication of CN107369048A publication Critical patent/CN107369048A/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

Landscapes

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

Abstract

The invention discloses a kind of footwear to take big data cloud platform, including data analysis module, intelligence analysis module, logistics analysis module and intelligent Matching module has been electrically connected in the output end of the data analysis module, the output end of the intelligence analysis module, logistics analysis module and intelligent Matching module is electrically connected with data storage module, and the logistics analysis module includes logistics environment system, logistics index system, logistics geographical index system, loglstics enterprise ability system and logistics and drives employment index system.Intelligence analysis module, logistics analysis module and intelligent Matching module are electrically connected with by the present invention with data analysis module respectively, information, logistics information and the intelligent Matching demand to footwear clothes that people take to footwear can be met, solves the situation that existing Xie Fu enterprises are usually faced with information asymmetry, it is difficult to accurately hold for the relation of production and sales and stock, the problem of causing its sales volume undesirable.

Description

A kind of footwear take big data cloud platform
Technical field
The present invention relates to footwear to take cloud platform technical field, and specially a kind of footwear take big data cloud platform.
Background technology
Big data refers to the data that can not be caught, managed and be handled with conventional software instrument in the range of certain time Set, it is to need new tupe to have stronger decision edge, see clearly magnanimity, the Gao Zeng for finding power and process optimization ability Long rate and diversified information assets, footwear clothes are the article general names of human body, including clothes, footwear, cap, socks, gloves, scarf, neck Band, bag, sunshade, hair decorations etc., and existing Xie Fu enterprises are usually faced with the situation of information asymmetry, for production and sales and The relation of stock is difficult to accurately hold, and causes its sales volume undesirable, therefore, it is proposed that a kind of footwear take big data cloud platform.
The content of the invention
It is an object of the invention to provide a kind of footwear to take big data cloud platform, is asked with solve to propose in above-mentioned background technology Topic.
To achieve the above object, the present invention provides following technical scheme:A kind of footwear take big data cloud platform, including data point Module is analysed, intelligence analysis module, logistics analysis module and intelligence has been electrically connected in the output end of the data analysis module Matching module, the output end of the intelligence analysis module, logistics analysis module and intelligent Matching module are electrically connected with data Storage module.
Preferably, the logistics analysis module includes logistics environment system, logistics index system, logistics geographical index system System, loglstics enterprise ability system and logistics drive employment index system.
Preferably, the logistics environment service system includes logistics environment satisfaction, and logistics environment satisfaction is by server The questionnaire of collection directly measures, and it, which is reflected, is difficult to the content to form quantizating index in logistics progress.
Preferably, the logistics index system includes logistics index, logistics growth rate, logistics ratio and loglstics enterprise growth Rate, the logistics index={ logistics index n+ logistics index (n+1) }/2, wherein 1 year logistics number/n of logistics index n=are complete City's logistics number (ten thousand), logistics index (n+1)=(n-1) year logistics number/(n-1) year whole city logistics number (ten thousand), the thing Flow growth rate={ logistics growth rate n+ logistics growth rate (n+1) }/2, wherein logistics growth rate n={ n logistics number-(n-1) Year logistics number }/(n-1) year logistics number, logistics growth rate (n+1)={ (n-1) year logistics number-(n-2) year logistics number }/ (n-2) year logistics number, the logistics ratio={ logistics ratio n+ logistics ratio (n+1) }/2, logistics ratio n=n logistics Number/n logistics numbers, logistics ratio (n+1)=(n-1) year logistics number/(n-1) year logistics number, the loglstics enterprise growth rate ={ loglstics enterprise growth rate n+ loglstics enterprises growth rate (n+1) }, wherein loglstics enterprise growth rate n=n loglstics enterprises number- (n-1) year loglstics enterprise number }/(n-1) year logistics number, loglstics enterprise growth rate (n+1)={ (n-1) year loglstics enterprise number-(n- 2) year materials circulation enterprise number }/(n-2) year loglstics enterprise number.
Preferably, the logistics geographical index system includes logistics geographical index, logistics region growth rate, logistics region ratio Rate and logistics region enterprise growth rate, the logistics geographical index={ logistics geographical index n+ logistics geographical index (n+1) }/2, Wherein 1 year logistics region number of logistics geographical index n=/n whole cities logistics region number (ten thousand), logistics geographical index (n+1) =the (n-1) year logistics region number/(n-1) year whole city logistics region number (ten thousand), logistics region growth rate=logistics Domain growth rate n+ logistics region growth rate (n+1) }/2, wherein logistics region growth rate n={ n logistics region number-(n-1) Year logistics region number }/(n-1) year logistics region number, logistics region growth rate (n+1)=(n-1) year logistics region number- (n-2) year logistics region number }/(n-2) year logistics region number, logistics region ratio={ logistics region ratio n+ logistics Region ratio (n+1) }/2, wherein logistics region ratio n=n logistics region number/n whole cities logistics region number, logistics region Ratio (n+1)=(n-1) year circulation logistics region number/(n-1) year whole city logistics region number, the logistics region enterprise increase Rate={ logistics region enterprise growth rate n+ logistics region enterprise's growth rate (n+1) }, wherein logistics region enterprise growth rate n={ n Year logistics region enterprise number-(n-1) year logistics region enterprise number }/(n-1) year logistics region enterprise number, the increasing of logistics region enterprise Long (n+1)={ (n-1) year logistics region enterprise number-(n-2) year logistics region enterprise number }/(n-2) year logistics region enterprise Number.
Preferably, the loglstics enterprise ability system includes loglstics enterprise survival index, the income from sales ratio of loglstics enterprise Rate, loglstics enterprise income from sales growth rate and loglstics enterprise income from sales contribution rate, the loglstics enterprise survival index=n things Stream enterprise has simultaneously declared increment Tax or entity number/n loglstics enterprises sum of Sales Tax, the logistics in (n+2) December in year The income from sales ratio of enterprise={ the income from sales ratio (n+1) of the income from sales ratio n+ loglstics enterprises of loglstics enterprise }/2, The wherein gross sales amount of the income from sales ratio n=n loglstics enterprises of loglstics enterprise or operating income/n whole cities entity sale Total value or operating income, the gross sales amount or business of income from sales ratio (n+1)=(n-1) year loglstics enterprise of loglstics enterprise are received Enter/(n-1) year whole city entity gross sales amount or operating income, loglstics enterprise income from sales growth rate={ the loglstics enterprise pin Sell income increase rate n+ loglstics enterprise income from sales growth rates (n+1) }/2, wherein loglstics enterprise income from sales growth rate n=n Loglstics enterprise gross sales amount or operating income-(n-1) year loglstics enterprise gross sales amount or operating income }/(n-1) year logistics enterprise Industry gross sales amount or operating income, loglstics enterprise income from sales growth rate (n+1)=(n-1) year loglstics enterprise gross sales amount or Operating income-(n-2) year loglstics enterprise gross sales amount or operating income }/(n-2) year loglstics enterprise gross sales amount or business receive Enter, the loglstics enterprise income from sales contribution rate=loglstics enterprise income from sales contribution rate n+ loglstics enterprise income from sales contribution rates (n+1), wherein loglstics enterprise income from sales contribution rate n=n loglstics enterprises gross sales amount or operating income-(n-1) year logistics Enterprise marketing total value or operating income }/{ n whole cities industry gross sales amount or operating income-(n-1) whole city industry gross sales amount Or operating income, loglstics enterprise income from sales growth rate (n+1)=(n-1) year loglstics enterprise gross sales amount or operating income- (n-2) year loglstics enterprise gross sales amount or operating income }/(n-1) year whole city loglstics enterprise gross sales amount or operating income- (n-2) whole city's loglstics enterprise gross sales amount or operating income }.
Preferably, the logistics drives employment index system to include logistics and drives employment index, the employment ratio of logistics, thing The accession rate of stream and the Employment Contribution rate of logistics, the logistics drive employment index={ logistics drive employment index n+ things Stream drives employment index (n+1) }/2, wherein logistics drives employment index n=n logistics employment volume/n whole cities industry employment Number, logistics drive employment index (n+1)=(n-1) year logistics employment volume/(n-1) year whole city industry employment volume, institute State employment ratio={ the employment ratio (n+1) of the employment ratio n+ logistics of logistics }/2, wherein the employment ratio n of logistics of logistics =n logistics employment volume/n whole cities industry employment volume, employment ratio (n+1)=(n-1) year logistics employment people of logistics Number/(n-1) year whole city's industry employment volume, the accession rate of the logistics={ the accession rate n+ logistics of logistics is just Industry growth rate (n+1) }/2, the accession rate n={ n logistics employment volume-(n-1) year logistics employment volume } of logistics/ (n-1) year agricultural circulation employment volume, accession rate (n+1)={ (n-1) year logistics employment volume-(n-2) of logistics Year logistics employment volume }/(n-2) year logistics employment volume, Employment Contribution rate={ accession rate n of logistics of the logistics The accession rate (n+1) of+logistics }, Employment Contribution rate n={ the n logistics employment volumes-(n-1) year logistics of wherein logistics Employment volume }/{ founding industry employment volume in n whole cities industry employment volume-(n-1) year whole city }, the Employment Contribution rate (n of logistics + 1)=(n-1] year logistics employment volume-(n-2) year logistics employment volume }/(n-1) year whole city industry employment volume- (n-2) year whole city's industry employment volume }.
Preferably, the intelligent Matching module includes background management system, customer demand system, reaction system, analysis system System, computer automatic patching system and display system, and background management system, customer demand system, reaction system, analysis system, The output end of computer automatic patching system and display system is electrically connected with intelligently pushing system.
Preferably, the background management system receives the information of active user's input, and extracts the letter of active user's input User's request keyword in breath, and current supplier information is gathered, modifying factor, while root are obtained from current supplier information The demand information for needing to push according to user's request keyword and modifying factor selection, and demand information is pushed to active user Terminal with facilitate supplier select and read.
Compared with prior art, beneficial effects of the present invention are as follows:
1st, the present invention is electric with data analysis module respectively by intelligence analysis module, logistics analysis module and intelligent Matching module Property connection, information, logistics information that people takes to footwear and the intelligent Matching demand taken to footwear can be met, solve existing footwear The situation that enterprise is usually faced with information asymmetry is taken, is difficult to accurately hold for the relation of production and sales and stock, causes The problem of its sales volume is undesirable.
Brief description of the drawings
Fig. 1 is schematic flow sheet of the present invention.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete Site preparation describes, it is clear that described embodiment is only part of the embodiment of the present invention, rather than whole embodiments.It is based on Embodiment in the present invention, those of ordinary skill in the art are obtained every other under the premise of creative work is not made Embodiment, belong to the scope of protection of the invention.
Referring to Fig. 1, a kind of footwear take big data cloud platform, including data analysis module, the output end of data analysis module Intelligence analysis module, logistics analysis module and intelligent Matching module, intelligence analysis module, logistics analysis mould has been electrically connected The output end of block and intelligent Matching module is electrically connected with data storage module, and logistics analysis module includes logistics environment system System, logistics index system, logistics geographical index system, loglstics enterprise ability system and logistics drive employment index system, logistics Environmental system system includes logistics environment satisfaction, and logistics environment satisfaction is directly measured by the questionnaire of collection of server, It, which is reflected, is difficult to the content to form quantizating index in logistics progress, logistics index system include logistics index, logistics growth rate, Logistics ratio and loglstics enterprise growth rate, logistics index={ logistics index n+ logistics index (n+1) }/2, wherein logistics index n =the n-th year logistics number/n whole cities logistics number (ten thousand), logistics index (n+1)=(n-1) year logistics number/(n-1) year whole city Logistics number (ten thousand), logistics growth rate={ logistics growth rate n+ logistics growth rate (n+1) }/2, wherein logistics growth rate n={ n Year logistics number-(n-1) year logistics number }/(n-1) year logistics number, logistics growth rate (n+1)=(n-1) year logistics number- (n-2) year logistics number }/(n-2) year logistics number, logistics ratio={ logistics ratio n+ logistics ratio (n+1) }/2, logistics ratio N=n logistics number/n logistics numbers, logistics ratio (n+1)=(n-1) year logistics number/(n-1) year logistics number, loglstics enterprise Growth rate={ loglstics enterprise growth rate n+ loglstics enterprises growth rate (n+1) }, wherein loglstics enterprise growth rate n={ look forward to by n logistics Industry number-(n-1) year loglstics enterprise number }/(n-1) year logistics number, loglstics enterprise growth rate (n+1)={ (n-1) year loglstics enterprise Number-(n-2) year materials circulation enterprise number }/(n-2) year loglstics enterprise number, logistics geographical index system include logistics geographical index, Logistics region growth rate, logistics region ratio and logistics region enterprise growth rate, logistics geographical index={ logistics geographical index n+ Logistics geographical index (n+1) }/2, wherein 1 year logistics region number of logistics geographical index n=/n whole cities logistics region number (ten thousand Part), logistics geographical index (n+1)=(n-1) year logistics region number/(n-1) year whole city logistics region number (ten thousand), logistics Domain growth rate={ logistics region growth rate n+ logistics region growth rate (n+1) }/2, wherein logistics region growth rate n={ n things Flow region number-(n-1) year logistics region number }/(n-1) year logistics region number, logistics region growth rate (n+1)={ (n-1) Year logistics region number-(n-2) year logistics region number }/(n-2) year logistics region number, logistics region ratio={ logistics region Ratio n+ logistics region ratio (n+1) }/2, wherein logistics region ratio n=n logistics region number/n whole cities logistics region Number, logistics region ratio (n+1)=(n-1) year circulation logistics region number/(n-1) year whole city logistics region number, logistics region Enterprise's growth rate={ logistics region enterprise growth rate n+ logistics region enterprise's growth rate (n+1) }, wherein logistics region enterprise increase Long rate n={ n logistics region enterprise number-(n-1) year logistics region enterprise number }/(n-1) year logistics region enterprise number, logistics Domain enterprise is with increasing (n+1)={ (n-1) year logistics region enterprise number-(n-2) year logistics region enterprise number }/(n-2) year logistics Domain enterprise number, loglstics enterprise ability system include loglstics enterprise survival index, the income from sales ratio of loglstics enterprise, loglstics enterprise Income from sales growth rate and loglstics enterprise income from sales contribution rate, loglstics enterprise survival index=n loglstics enterprises and at (n+2) Declare increment Tax or entity number/n loglstics enterprises sum of Sales Tax in year December, the income from sales ratio of loglstics enterprise= The sale of { the income from sales ratio (n+1) of the income from sales ratio n+ loglstics enterprises of loglstics enterprise }/2, wherein loglstics enterprise is received Enter the gross sales amount or operating income/n whole cities entity gross sales amount or operating income of ratio n=n loglstics enterprises, logistics enterprise The gross sales amount or operating income of the income from sales ratio (n+1) of industry=(n-1) year loglstics enterprise/(n-1) year whole city entity pin Sell total value or operating income, loglstics enterprise income from sales growth rate={ loglstics enterprise income from sales growth rate n+ loglstics enterprise pins Sell income increase rate (n+1) }/2, wherein loglstics enterprise income from sales growth rate n=n loglstics enterprises gross sales amount or business is received Enter-(n-1) year loglstics enterprise gross sales amount or operating income }/(n-1) year loglstics enterprise gross sales amount or operating income, logistics Enterprise marketing income increase rate (n+1)=(n-1) year loglstics enterprise gross sales amount or operating income-(n-2) year loglstics enterprise Gross sales amount or operating income }/(n-2) year loglstics enterprise gross sales amount or operating income, loglstics enterprise income from sales contribution rate =loglstics enterprise income from sales contribution rate n+ loglstics enterprise income from sales contribution rates (n+1), the wherein tribute of loglstics enterprise income from sales Offer rate n=n loglstics enterprises gross sales amount or operating income-(n-1) year loglstics enterprise gross sales amount or operating income }/{ n Whole city's industry gross sales amount or operating income-(n-1) whole city industry gross sales amount or operating income }, loglstics enterprise income from sales Growth rate (n+1)=(n-1) year loglstics enterprise gross sales amount or operating income-(n-2) year loglstics enterprise gross sales amount or battalion Industry take in/(n-1) year whole city loglstics enterprise gross sales amount or operating income-(n-2) whole city loglstics enterprise gross sales amount or Operating income }, logistics drives employment index system to include logistics and drives employment index, the employment ratio of logistics, the employment of logistics The Employment Contribution rate of growth rate and logistics, logistics drive employment index={ logistics drives employment index n+ logistics to drive employment to refer to Number (n+1) }/2, wherein logistics drives employment index n=n logistics employment volume/n whole cities industry employment volume, logistics band Dynamic employment index (n+1)=(n-1) year logistics employment volume/(n-1) year whole city industry employment volume, the employment ratio of logistics ={ the employment ratio (n+1) of the employment ratio n+ logistics of logistics }/2, the employment ratio n=n logistics employment people of wherein logistics Number/n whole cities industry employment volume, employment ratio (n+1)=(n-1) year logistics employment volume/(n-1) year whole city of logistics Industry employment volume, accession rate={ accession rate (n+1) of the accession rate n+ logistics of logistics }/2 of logistics, thing Accession rate n={ n logistics employment volume-(n-1) year logistics employment volume }/(n-1) the years agricultural circulation employment of stream Number, accession rate (n+1)={ (n-1) year logistics employment volume-(n-2) year logistics employment volume }/(n- of logistics 2) year logistics employment volume, Employment Contribution rate={ accession rate (n+1) of the accession rate n+ logistics of logistics } of logistics, The wherein Employment Contribution rate n={ n logistics employment volume-(n-1) year logistics employment volume } of logistics/{ n whole cities industry is just Found industry employment volume in industry number-(n-1) year whole city }, the Employment Contribution rate (n+1) of logistics=(n-1] year logistics employment people Number-(n-2) year logistics employment volume }/{ (n-1) year whole city industry employment volume-(n-2) year whole city industry employment volume }, Intelligent Matching module includes background management system, customer demand system, reaction system, analysis system, computer automatic patching system And display system, and background management system, customer demand system, reaction system, analysis system, computer automatic patching system and aobvious Showing that the output end of system is electrically connected with intelligently pushing system, background management system receives the information of active user's input, and User's request keyword in the information of active user's input is extracted, and gathers current supplier information, from current supplier information Middle acquisition modifying factor, while the demand information for needing to push according to user's request keyword and modifying factor selection, and will Demand information is pushed to active user's terminal to facilitate supplier to select and read.
In use, the present invention by intelligence analysis module, logistics analysis module and intelligent Matching module respectively with data analysis Module is electrically connected with, and can meet information, logistics information and the intelligent Matching demand to footwear clothes that people take to footwear, solve existing Some Xie Fu enterprises are usually faced with the situation of information asymmetry, are difficult to accurately handle for the relation of production and sales and stock Hold, the problem of causing its sales volume undesirable.
Although an embodiment of the present invention has been shown and described, for the ordinary skill in the art, can be with A variety of changes, modification can be carried out to these embodiments, replace without departing from the principles and spirit of the present invention by understanding And modification, the scope of the present invention is defined by the appended.

Claims (9)

1. a kind of footwear take big data cloud platform, including data analysis module, it is characterised in that:The output of the data analysis module Intelligence analysis module, logistics analysis module and intelligent Matching module, the intelligence analysis module, logistics has been electrically connected in end The output end of analysis module and intelligent Matching module is electrically connected with data storage module.
2. a kind of footwear according to claim 1 take big data cloud platform, it is characterised in that:The logistics analysis module includes Logistics environment system, logistics index system, logistics geographical index system, loglstics enterprise ability system and logistics drive employment index System.
3. a kind of footwear according to claim 2 take big data cloud platform, it is characterised in that:The logistics environment service system Including logistics environment satisfaction, logistics environment satisfaction is directly measured by the questionnaire of collection of server, and it reflects logistics During be difficult to the content to form quantizating index.
4. a kind of footwear according to claim 2 take big data cloud platform, it is characterised in that:The logistics index system includes Logistics index, logistics growth rate, logistics ratio and loglstics enterprise growth rate, the logistics index={ logistics index n+ logistics refers to Number (n+1) }/2, wherein 1 year logistics number of logistics index n=/n whole cities logistics number (ten thousand), logistics index (n+1)=the (n-1) year logistics number/(n-1) year whole city logistics number (ten thousand), the logistics growth rate={ logistics growth rate n+ logistics growth rates (n+1) }/2, wherein logistics growth rate n={ n logistics number-(n-1) year logistics number }/(n-1) year logistics number, logistics increase Rate (n+1)={ (n-1) year logistics number-(n-2) year logistics number }/(n-2) year logistics number, the logistics ratio={ logistics Ratio n+ logistics ratio (n+1) }/2, logistics ratio n=n logistics number/n logistics numbers, logistics ratio (n+1)=(n-1) year Logistics number/(n-1) year logistics number, the loglstics enterprise growth rate={ loglstics enterprise growth rate n+ loglstics enterprise growth rates (n+ 1) }, wherein loglstics enterprise growth rate n={ n loglstics enterprises number-(n-1) year loglstics enterprise number }/(n-1) year logistics number, logistics Enterprise's growth rate (n+1)={ (n-1) year loglstics enterprise number-(n-2) year materials circulation enterprise number }/(n-2) year loglstics enterprise Number.
5. a kind of footwear according to claim 2 take big data cloud platform, it is characterised in that:The logistics geographical index system Including logistics geographical index, logistics region growth rate, logistics region ratio and logistics region enterprise growth rate, the logistics region Index={ logistics geographical index n+ logistics geographical index (n+1) }/2, wherein 1 year logistics region number of logistics geographical index n=/ N whole cities logistics region number (ten thousand), logistics geographical index (n+1)=(n-1) year logistics region number/(n-1) year whole city thing Stream region number (ten thousand), logistics region growth rate={ logistics region growth rate n+ logistics region growth rate (n+1) }/2, its Middle logistics region growth rate n={ n logistics region number-(n-1) year logistics region number }/(n-1) year logistics region number, thing Flow region growth rate (n+1)={ (n-1) year logistics region number-(n-2) year logistics region number }/(n-2) year logistics region Number, logistics region ratio={ logistics region ratio n+ logistics region ratio (n+1) }/2, wherein logistics region ratio n=n Year logistics region number/n whole cities logistics region number, logistics region ratio (n+1)=(n-1) year circulation logistics region number/(n- 1) year whole city's logistics region number, the logistics region enterprise growth rate={ logistics region enterprise growth rate n+ logistics region enterprise Growth rate (n+1) }, wherein logistics region enterprise growth rate n={ n logistics region enterprise numbers-(n-1) year logistics region enterprise Number }/(n-1) year logistics region enterprise number, logistics region enterprise growth (n+1)={ (n-1) year logistics region enterprise number-(n- 2) year logistics region enterprise number }/(n-2) year logistics region enterprise number.
6. a kind of footwear according to claim 2 take big data cloud platform, it is characterised in that:The loglstics enterprise ability system Including loglstics enterprise survival index, the income from sales ratio of loglstics enterprise, loglstics enterprise income from sales growth rate and loglstics enterprise Income from sales contribution rate, the loglstics enterprise survival index=n loglstics enterprises have simultaneously declared increment Tax in (n+2) December in year Or the entity number of Sales Tax/n loglstics enterprises sum, income from sales ratio={ sale of loglstics enterprise of the loglstics enterprise The income from sales ratio (n+1) of income sheet ratio n+ loglstics enterprises }/2, wherein the income from sales ratio n=n logistics of loglstics enterprise The gross sales amount or operating income of enterprise/n whole cities entity gross sales amount or operating income, the income from sales ratio of loglstics enterprise (n+1)=(n-1) gross sales amount of year loglstics enterprise or operating income/(n-1) year whole city entity gross sales amount or business are received Enter, the loglstics enterprise income from sales growth rate={ loglstics enterprise income from sales growth rate n+ loglstics enterprises income from sales increases Rate (n+1) }/2, wherein loglstics enterprise income from sales growth rate n=n loglstics enterprises gross sales amount or operating income-(n-1) Year loglstics enterprise gross sales amount or operating income }/(n-1) year loglstics enterprise gross sales amount or operating income, loglstics enterprise sale Income increase rate (n+1)=(n-1) year loglstics enterprise gross sales amount or operating income-(n-2) year loglstics enterprise gross sales amount Or operating income/(n-2) year loglstics enterprise gross sales amount or operating income, the loglstics enterprise income from sales contribution rate=thing Flow enterprise marketing revenue contributions rate n+ loglstics enterprise income from sales contribution rates (n+1), wherein loglstics enterprise income from sales contribution rate n =n loglstics enterprises gross sales amount or operating income-(n-1) year loglstics enterprise gross sales amount or operating income }/{ the n whole cities Industry gross sales amount or operating income-(n-1) whole city industry gross sales amount or operating income }, loglstics enterprise income from sales increases Rate (n+1)=(n-1) year loglstics enterprise gross sales amount or operating income-(n-2) year loglstics enterprise gross sales amount or business are received Enter/{ (n-1) year whole city loglstics enterprise gross sales amount or operating income-(n-2) whole city loglstics enterprise gross sales amount or business Income }.
7. a kind of footwear according to claim 2 take big data cloud platform, it is characterised in that:The logistics drives employment index System includes the Employment Contribution rate that logistics drives employment index, the employment ratio of logistics, the accession rate of logistics and logistics, institute State logistics and drive employment index={ logistics drives employment index n+ logistics to drive employment index (n+1) }/2, wherein logistics drives Employment index n=n logistics employment volume/n whole cities industry employment volume, logistics drive employment index (n+1)=(n-1) Year logistics employment volume/(n-1) year whole city industry employment volume, employment ratio={ employment ratio n+ of logistics of the logistics The employment ratio (n+1) of logistics }/2, wherein the employment ratio n=n logistics employment volume of logistics/n whole cities industry employment people Number, employment ratio (n+1)=(n-1) year logistics employment volume/(n-1) year whole city industry employment volume of logistics, the thing The accession rate of stream={ accession rate (n+1) of the accession rate n+ logistics of logistics }/2, the accession rate n of logistics ={ n logistics employment volume-(n-1) year logistics employment volume }/(n-1) year agricultural circulation employment volume, the employment of logistics Growth rate (n+1)={ (n-1) year logistics employment volume-(n-2) year logistics employment volume }/(n-2) year logistics employment people Number, Employment Contribution rate={ accession rate (n+1) of the accession rate n+ logistics of logistics } of the logistics, wherein logistics Employment Contribution rate n={ n logistics employment volume-(n-1) year logistics employment volume }/{ n whole cities industry employment volume-(n- 1) year, industry employment volume found in the whole city }, the Employment Contribution rate (n+1) of logistics=(n-1] year logistics employment volume-(n-2) year Logistics employment volume }/{ (n-1) year whole city industry employment volume-(n-2) year whole city industry employment volume }.
8. a kind of footwear according to claim 1 take big data cloud platform, it is characterised in that:The intelligent Matching module includes Background management system, customer demand system, reaction system, analysis system, computer automatic patching system and display system, and backstage Management system, customer demand system, reaction system, analysis system, the output end of computer automatic patching system and display system are equal It is electrically connected with intelligently pushing system.
9. a kind of footwear according to claim 8 take big data cloud platform, it is characterised in that:The background management system receives The information of active user's input, and user's request keyword in the information of active user's input is extracted, and gather current supplier Information, modifying factor is obtained from current supplier information, while need are selected according to user's request keyword and modifying factor The demand information to be pushed, and demand information is pushed to active user's terminal to facilitate supplier to select and read.
CN201710618570.0A 2017-07-26 2017-07-26 A kind of footwear take big data cloud platform Pending CN107369048A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201710618570.0A CN107369048A (en) 2017-07-26 2017-07-26 A kind of footwear take big data cloud platform

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710618570.0A CN107369048A (en) 2017-07-26 2017-07-26 A kind of footwear take big data cloud platform

Publications (1)

Publication Number Publication Date
CN107369048A true CN107369048A (en) 2017-11-21

Family

ID=60307131

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710618570.0A Pending CN107369048A (en) 2017-07-26 2017-07-26 A kind of footwear take big data cloud platform

Country Status (1)

Country Link
CN (1) CN107369048A (en)

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104317920A (en) * 2014-10-29 2015-01-28 中英融贯资讯(武汉)有限公司 Information pushing method and information pushing system based on intelligent user demand matching
CN105096072A (en) * 2014-05-04 2015-11-25 李筑 Logistics big data platform
CN105447670A (en) * 2015-12-01 2016-03-30 苏州铭冠软件科技有限公司 Cloud database establishment method
CN105976226A (en) * 2016-05-04 2016-09-28 余毅欣 Internet E-commerce platform
CN106600051A (en) * 2016-12-12 2017-04-26 天津知音网络科技有限公司 Freight big-data platform

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105096072A (en) * 2014-05-04 2015-11-25 李筑 Logistics big data platform
CN104317920A (en) * 2014-10-29 2015-01-28 中英融贯资讯(武汉)有限公司 Information pushing method and information pushing system based on intelligent user demand matching
CN105447670A (en) * 2015-12-01 2016-03-30 苏州铭冠软件科技有限公司 Cloud database establishment method
CN105976226A (en) * 2016-05-04 2016-09-28 余毅欣 Internet E-commerce platform
CN106600051A (en) * 2016-12-12 2017-04-26 天津知音网络科技有限公司 Freight big-data platform

Similar Documents

Publication Publication Date Title
Gereffi Global value chains in a post-Washington Consensus world
Ungerman et al. The impact of marketing innovation on the competitiveness of enterprises in the context of industry 4.0
CN107193858B (en) Intelligent Service application platform and method towards multi-source heterogeneous data fusion
Ali et al. Information and communication technologies (ICTs) and farmers’ decision-making across the agricultural supply chain
Cuypers et al. The impact of EU consumption on deforestation: Comprehensive analysis of the impact of EU consumption on deforestation
CN103377249B (en) Keyword put-on method and system
CN109063945A (en) A kind of 360 degree of customer portrait construction methods of sale of electricity company based on Value accounting system
CN102279851A (en) Intelligent navigation method, device and system
CN108388625A (en) A kind of software in project cost management platform based on big data
CN111026801A (en) Method and system for assisting operation quick decision-making work of insurance type e-commerce
CN107578180A (en) Intellectualized analysis platform and its system based on ETL
CN107784510A (en) Sales achievement statistical analysis system and method based on shops's retail terminal
CN110473027A (en) A kind of electric business advertising campaign management method and system
CN108596467A (en) A kind of market operation mock trading analogue system suitable for sale of electricity company
CN110163683A (en) Value user's key index determines method, advertisement placement method and device
CN114372731B (en) Post target making method, device, equipment and storage medium based on big data
Chen et al. Customer segmentation in customer relationship management based on data mining
CN113051881A (en) Report display method based on parameter configuration
CN107369048A (en) A kind of footwear take big data cloud platform
Koenig et al. Indigenous livelihoods and art income: participation, production and returns from woodcarvings in Arnhem Land, north Australia
CN111008871A (en) Real estate repurchase customer follow-up quantity calculation method, device and storage medium
CN108433167A (en) A kind of cigar coating tobacco leaf method for sorting
CN105069679A (en) Agricultural product network trading platform
CN115048503A (en) User preference label design method based on content analysis
CN108959324A (en) Predictor method, device and the storage medium of multimedia show resource quantity in stock

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
RJ01 Rejection of invention patent application after publication

Application publication date: 20171121

RJ01 Rejection of invention patent application after publication