Shopping guiding automatic acquisition analysis system based on big data

An automatic collection and analysis system technology, applied in the field of shopping system, can solve the problems of data unreliability, waste of manpower and material resources, etc.

Inactive Publication Date: 2018-07-17
安徽千云度信息技术有限公司
View PDF0 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a shopping-guided automatic acquisition and analysis system based on big data. By using the big data acquisition unit to collect information on the flow of people in the shopping area, warehouse entry and exit, and sales data, it solves the problem of existing staff Experience and report data judgment lead to data unreliability and excessive waste of manpower and material resources

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Shopping guiding automatic acquisition analysis system based on big data
  • Shopping guiding automatic acquisition analysis system based on big data
  • Shopping guiding automatic acquisition analysis system based on big data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0060] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0061] see Figure 1-7 As shown, the present invention is a shopping guide automatic collection and analysis system based on big data, including a central processing unit and a big data collection unit;

[0062] The big data acquisition unit collects information on the flow of people in the shopping area, warehouse entry and exit, and sales data;

[0063] The big data acquisition unit is connected to the central processing unit in real time through the data inform...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a shopping guiding automatic acquisition analysis system based on big data, wherein the system relates to the technical field of a shopping system. The system comprises a central processor and a big data acquisition unit. The big data acquisition unit performs information acquisition on shopping area visitor flowrate, warehouse entering and delivering-out data and selling-out data. The big data acquisition unit is in real-time connection with the central processor through a data information transmission module. According to the system of the invention, corresponding distribution of a plurality of visitor flowrate counters and cameras is utilized for detecting mobility and distribution of customers in a shopping area through a visitor flowrate detecting module. A warehouse management module records the number change of warehousing objects through a warehouse entering registering device and a delivering-out registering device. An invoice management module utilizesa cashier device, a selling-out barcode scanning device and an invoice recording device. The system settles problems of low reliability and excessive manpower and material resource wastage caused bydetermining according to experience and report data.

Description

technical field [0001] The invention belongs to the technical field of shopping systems, and in particular relates to a shopping guidance automatic collection and analysis system based on big data. Background technique [0002] Shopping system, also known as online mall management system, online store system, shopping cart program, etc., is a WEB program for building an online store. The general shopping system has the characteristics of foolish operation, so that users can pass it easily. Own independent online e-commerce platform. [0003] The traditional shopping-oriented automatic collection conducts indirect analysis through daily business reports, and the analysis process is mainly judged by staff based on experience and report data. Therefore, the efficiency of analysis is low, which wastes manpower and material resources excessively, and the data Insufficient reliability cannot satisfy the user's use effect. Contents of the invention [0004] The purpose of the p...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/08G06Q30/02
CPCG06Q10/087G06Q30/0201
Inventor 杨良军
Owner 安徽千云度信息技术有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap