CN111951064A - E-commerce transaction method based on big data - Google Patents

E-commerce transaction method based on big data Download PDF

Info

Publication number
CN111951064A
CN111951064A CN201910414139.3A CN201910414139A CN111951064A CN 111951064 A CN111951064 A CN 111951064A CN 201910414139 A CN201910414139 A CN 201910414139A CN 111951064 A CN111951064 A CN 111951064A
Authority
CN
China
Prior art keywords
establishing
commerce
warehouse
big data
logistics
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
CN201910414139.3A
Other languages
Chinese (zh)
Inventor
邵伟
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.)
Wuxi Micro Garden Network Technology Co Ltd
Original Assignee
Wuxi Micro Garden Network Technology Co Ltd
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 Wuxi Micro Garden Network Technology Co Ltd filed Critical Wuxi Micro Garden Network Technology Co Ltd
Priority to CN201910414139.3A priority Critical patent/CN111951064A/en
Publication of CN111951064A publication Critical patent/CN111951064A/en
Pending legal-status Critical Current

Links

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]
    • G06Q30/0605—Supply or demand aggregation
    • 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
    • G06Q10/083—Shipping
    • G06Q10/0833—Tracking
    • 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

Landscapes

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

Abstract

The invention discloses an E-commerce transaction method based on big data, which comprises the steps of establishing a big data analysis system, establishing a logistics overseas warehouse and a domestic warehouse system, and establishing an E-commerce big data logistics information platform; establishing an online-offline combination module; establishing an e-commerce and trade record file management system; establishing a big data analysis system, including inputting transaction modes and methods of all big e-commerce; the method for establishing the overseas logistics warehouse and the domestic warehouse comprises the steps that each e-commerce logistics enterprise selectively establishes the overseas warehouse and the domestic warehouse according to past consumption data, consumption habits and the like of overseas consumers by using a big data technology, jointly establishes an e-commerce big data logistics information platform by using big data, cloud computing and emerging technologies of internet of things, and improves commodity distribution speed, logistics information resource sharing, resource integration and joint distribution and the e-commerce transaction service level by using big data technology means.

Description

E-commerce transaction method based on big data
Technical Field
The invention belongs to the field of big data commerce, and particularly relates to an E-commerce transaction method based on big data.
Background
The big data refers to a data set which is extremely huge in data volume and cannot be analyzed by using a traditional data collection mode, a traditional database and a traditional research method. The traditional data analysis usually adopts a reasoning method through samples, and regular sample analysis is used for conjecturing the whole data, so that the method is in a small sense and is popularized to a general meaning. However, big data can develop a deep analysis on all the data it records, leading to the most realistic conclusions. The big data has the characteristics of huge data size, high processing speed, various data types and low value density.
The big data technology refers to a technology for extracting big data value, and is a technology for providing scientific basis for final decision-making through data collection, storage, screening, algorithm analysis and prediction, data analysis result display and the like based on a specific target. The big data technology originates from the traditional data mining and business intelligence technology, is an important product of high-speed development of information technology, and mainly comprises important technologies such as cloud computing, data acquisition, file systems, database systems, data analysis and data visualization at present.
The famous management consulting company McKensin proposes that "big data" refers to a data set with the size exceeding the collection, storage, management and analysis capability of a typical database tool; the great data is a source for people to obtain new cognition creation and new value, and is also a method for changing the market organization. The large data is consistently considered by a plurality of experts and scholars to have the characteristics of large data size, various types, high processing speed, high value and the like. With the rise of new technologies such as cloud computing, cloud storage, internet of things and the like, any person or organization may become a manufacturer and an acquirer of data, and various data have been explosively increased. The big data technology can collect, integrate and analyze massive information, is beneficial to enterprises to dig out potential commercial values, realizes reasonable distribution of resources such as people, properties, things and the like, and improves the innovation capability of the enterprises. The generation of big data technology brings opportunities for the development of cross-border electronic commerce and logistics industry in China.
The development of the e-commerce in China faces dilemma, logistics distribution time is long, cost is high, a return and exchange logistics service system is imperfect, e-commerce logistics information cannot be shared, packages are difficult to track, and archive information is not smoothly shared.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provide an E-commerce transaction method based on big data.
The purpose of the invention can be realized by the following technical scheme:
the E-commerce transaction method based on big data comprises the steps of establishing a big data analysis system, establishing a logistics overseas warehouse and a domestic warehouse system, and establishing an E-commerce big data logistics information platform; establishing an online-offline combination module; establishing an e-commerce and trade record file management system;
the establishing of the big data analysis system comprises entering transaction modes and methods of all big e-commerce; the method for establishing the overseas warehouse and the domestic warehouse of the logistics comprises the steps that each e-commerce logistics enterprise utilizes a big data technology to mine and analyze the past consumption data, consumption habits and receiving address information of overseas consumers, selects areas with large purchase quantity, dense receiving addresses and high cost performance of establishing the warehouse to establish the overseas warehouse and the domestic warehouse, analyzes the historical purchase demand of target consumers, and transports corresponding commodities to the warehouse in batches in advance for storage;
the E-commerce big data logistics information platform is established by using big data, cloud computing and emerging technologies of the Internet of things to jointly establish the E-commerce big data logistics information platform across E-commerce enterprises, logistics companies, customs and other parties, so that logistics information sharing is realized; the establishing of the online and offline combination module comprises the step of combining social software, the mobile terminal and a cross-border electronic commerce platform to realize preliminary online and offline combination, and the establishing of the e-commerce easy record file management system comprises the step of establishing a complete information sharing platform.
Preferably, the logistics overseas warehouse and domestic warehouse establishing system comprises an information management system, and after a consumer places an order, the information management system of the warehouse can be fully utilized to select a warehouse in the nearest city for dispatching and delivering according to the order of the consumer.
Preferably, when the consumer needs to return goods, the goods can be directly returned to a local warehouse for returning or changing goods, and the links of secondary cross-border transportation, customs and commodity inspection are effectively avoided.
Preferably, the valuable information belonging to the consumer is collected by utilizing a commercial platform or a social network and a mobile terminal, and the consumer data is analyzed by means of cloud technology.
Preferably, a large data technology is applied to optimize a distribution scheme, a distribution route and a distribution mode which save the most time are accurately found through data analysis, and cross-border logistics resources are integrated.
The invention has the beneficial effects that:
by means of big data technology, commodity distribution speed is improved, logistics information resource sharing is achieved, resource integration and co-distribution are achieved, and E-commerce transaction service level is improved.
Detailed Description
The technical scheme of the invention is further described as follows:
the E-commerce transaction method based on big data comprises the steps of establishing a big data analysis system, establishing a logistics overseas warehouse and a domestic warehouse system, and establishing an E-commerce big data logistics information platform; establishing an online-offline combination module; establishing an e-commerce and trade record file management system;
the establishing of the big data analysis system comprises entering transaction modes and methods of all big e-commerce; the method for establishing the overseas warehouse and the domestic warehouse of the logistics comprises the steps that each e-commerce logistics enterprise utilizes a big data technology to mine and analyze the past consumption data, consumption habits and receiving address information of overseas consumers, selects areas with large purchase quantity, dense receiving addresses and high cost performance of establishing the warehouse to establish the overseas warehouse and the domestic warehouse, analyzes the historical purchase demand of target consumers, and transports corresponding commodities to the warehouse in batches in advance for storage;
the E-commerce big data logistics information platform is established by using big data, cloud computing and emerging technologies of the Internet of things to jointly establish the E-commerce big data logistics information platform across E-commerce enterprises, logistics companies, customs and other parties, so that logistics information sharing is realized; the establishing of the online and offline combination module comprises the step of combining social software, the mobile terminal and a cross-border electronic commerce platform to realize preliminary online and offline combination, and the establishing of the e-commerce easy record file management system comprises the step of establishing a complete information sharing platform.
In this embodiment, preferably, the logistics overseas warehouse and domestic warehouse establishing system includes an information management system, and after a customer places an order, the information management system of the warehouse can be fully utilized to select a warehouse in a nearest city for dispatching and delivering according to the customer order.
The commodity is sent to the overseas warehouse through one-time batch transportation and batch customs declaration, and then is locally distributed and delivered overseas, so that the transnational transportation, customs clearance and commodity inspection time is greatly saved, the commodity delivery speed is improved, and the transregional logistics cost is reduced.
In the embodiment, preferably, when the consumer needs to return goods, the consumer can directly return the goods to the local warehouse for goods return or change, thereby effectively avoiding secondary cross-border transportation, customs and commodity inspection links. Effectively avoids the links of secondary cross-border transportation, customs and commodity inspection, saves time and cost and greatly improves the satisfaction degree of consumers.
In this embodiment, preferably, valuable information belonging to the consumer is collected by using a business platform or a social network and a mobile terminal, and the consumer data is analyzed by using a cloud technology.
In this embodiment, preferably, a big data technology is applied to optimize a distribution scheme, improve the cross-border logistics timeliness, accurately find a distribution route and a distribution mode which save the most time through data analysis, integrate cross-border logistics resources, improve the transportation capacity level, and further improve the logistics distribution timeliness.
On one hand, logistics information sharing can be achieved, each logistics company can analyze and integrate orders of consumers on a platform through a big data technology, then various logistics resources are reasonably scheduled and configured, goods delivery is carried out at the fastest speed, and delivery efficiency is improved. On the other hand, the commodity circulation information of the commodity can be tracked in the whole process, the commodity distribution accuracy is improved, the packet loss phenomenon is reduced, and a consumer can log in an inquiry system through a mobile phone APP, a webpage and the like to inquire the position of a package at any time, so that the visualization of the whole commodity circulation distribution process is realized, and the satisfaction degree of the consumer is improved.
Finally, it should be noted that:
in this document, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising a reference structure" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.

Claims (5)

1. E-commerce transaction method based on big data is characterized in that:
establishing a big data analysis system, establishing a logistics overseas warehouse and a domestic warehouse system, and establishing an E-commerce big data logistics information platform; establishing an online-offline combination module; establishing an e-commerce and trade record file management system;
the establishing of the big data analysis system comprises entering transaction modes and methods of all big e-commerce; the method for establishing the overseas warehouse and the domestic warehouse of the logistics comprises the steps that each e-commerce logistics enterprise utilizes a big data technology to mine and analyze the past consumption data, consumption habits and receiving address information of overseas consumers, selects areas with large purchase quantity, dense receiving addresses and high cost performance of establishing the warehouse to establish the overseas warehouse and the domestic warehouse, analyzes the historical purchase demand of target consumers, and transports corresponding commodities to the warehouse in batches in advance for storage;
the E-commerce big data logistics information platform is established by using big data, cloud computing and emerging technologies of the Internet of things to jointly establish the E-commerce big data logistics information platform across E-commerce enterprises, logistics companies, customs and other parties, so that logistics information sharing is realized; the establishing of the online and offline combination module comprises the step of combining social software, the mobile terminal and a cross-border electronic commerce platform to realize preliminary online and offline combination, and the establishing of the e-commerce easy record file management system comprises the step of establishing a complete information sharing platform.
2. The big-data-based e-commerce transaction method of claim 1, wherein: the system for establishing the logistics overseas warehouse and the domestic warehouse comprises an information management system, and after a consumer places an order, the information management system of the warehouse can be fully utilized to select a warehouse in the nearest city for dispatching and delivering according to the order of the consumer.
3. The big-data-based e-commerce transaction method of claim 1, wherein: when the consumer needs to return goods, the goods can be directly returned to the local warehouse for goods returning or goods changing, and the links of secondary cross-border transportation, customs and commodity inspection are effectively avoided.
4. The big-data-based e-commerce transaction method of claim 1, wherein: the method comprises the steps of collecting valuable information belonging to consumers by utilizing a commercial platform or a social network and a mobile terminal, and analyzing consumer data by means of cloud technology.
5. The big-data-based e-commerce transaction method of claim 1, wherein: and optimizing a distribution scheme by using a big data technology, accurately searching a distribution route and a distribution mode which save the most time through data analysis, and integrating cross-border logistics resources.
CN201910414139.3A 2019-05-17 2019-05-17 E-commerce transaction method based on big data Pending CN111951064A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910414139.3A CN111951064A (en) 2019-05-17 2019-05-17 E-commerce transaction method based on big data

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910414139.3A CN111951064A (en) 2019-05-17 2019-05-17 E-commerce transaction method based on big data

Publications (1)

Publication Number Publication Date
CN111951064A true CN111951064A (en) 2020-11-17

Family

ID=73336775

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910414139.3A Pending CN111951064A (en) 2019-05-17 2019-05-17 E-commerce transaction method based on big data

Country Status (1)

Country Link
CN (1) CN111951064A (en)

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112862344A (en) * 2021-03-02 2021-05-28 深圳市财盈通科技有限公司 E-commerce management platform based on big data
CN113159558A (en) * 2021-04-15 2021-07-23 浙江工商职业技术学院 Cross-border e-commerce teaching method and device based on VR technology
CN116205555A (en) * 2023-04-28 2023-06-02 深圳市丰泉科技有限公司 Logistics information visual management system and method based on big data
CN117010987A (en) * 2023-07-14 2023-11-07 南京苏维博欣信息技术有限公司 Foreign trade customer automatic recommendation system and method thereof

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112862344A (en) * 2021-03-02 2021-05-28 深圳市财盈通科技有限公司 E-commerce management platform based on big data
CN113159558A (en) * 2021-04-15 2021-07-23 浙江工商职业技术学院 Cross-border e-commerce teaching method and device based on VR technology
CN116205555A (en) * 2023-04-28 2023-06-02 深圳市丰泉科技有限公司 Logistics information visual management system and method based on big data
CN116205555B (en) * 2023-04-28 2023-09-05 宁夏金丝路大数据科技有限责任公司 Logistics information visual management system and method based on big data
CN117010987A (en) * 2023-07-14 2023-11-07 南京苏维博欣信息技术有限公司 Foreign trade customer automatic recommendation system and method thereof
CN117010987B (en) * 2023-07-14 2024-04-16 南京苏维博欣信息技术有限公司 Foreign trade customer automatic recommendation system and method thereof

Similar Documents

Publication Publication Date Title
CN111951064A (en) E-commerce transaction method based on big data
CN110717716A (en) Cloud logistics platform and construction method
Ji et al. An integrated model for the production-inventory-distribution problem in the Physical Internet
Yang Selection Method of Cross‐Border e‐Commerce Export Logistics Mode Based on Collaborative Filtering Algorithm
CN111260439A (en) Electronic commerce system that intelligent degree is high
Liu et al. The product marketing model of the economic zone by the sensor big data mining algorithm
Sun et al. Research on e-commerce logistics information system based on big data technology
Song et al. Implementation of data mining technology in bonded warehouse inbound and outbound goods Trade
CN116091171A (en) Member statistics and management system
Chen et al. The application research of application decision model based on internet of things in enterprise supply chain management
Moldagulova et al. Application of big data in logistics
CN111882208A (en) Inventory center station system
CN111080414A (en) E-commerce search price comparison system based on Internet
CN112950301A (en) One-stop enterprise information service platform
Kawa E-Commerce Logistics in Southeast Asia in the Face of COVID-19
Lin Path Optimization of e-Commerce Logistics Terminal Distribution Mode Based on Dijkstra Algorithm
Wang Application Research of Supply Chain Management in Civil Aviation Logistics Enterprises
Nguyen et al. Big Data in the Transport Industry-An Indispensable Trend Approaching Logistics 4.0.
Liu et al. The Design of ERP Intelligent Sales Management System.
Feng et al. Innovation of E-commerce service mode in the era of big data
Qunli Analysis on the Integration of ERP with E-business
Huang Design of Logistics Economic Management Measures System in the Era of Internet of Things
Han et al. [Retracted] Logistics Supply Chain Management Mode of Chinese E‐Commerce Enterprises under the Background of Big Data and Internet of Things
Ji EXPLORATORY RESEARCH ON THE RELATIONSHIP BETWEEN DIGITAL SERVICE SUPPLY CHAIN CAPABILITY AND SUPPLY CHAIN PERFORMANCE
Chen et al. Research on Expanding Target User Boundary Based on Big Data Analysis

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
WD01 Invention patent application deemed withdrawn after publication

Application publication date: 20201117

WD01 Invention patent application deemed withdrawn after publication