Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Intelligent shopping guiding method

A smart, store-based technology, applied in marketing and other directions to improve consumer satisfaction

Inactive Publication Date: 2015-11-04
SICHUAN CHANGHONG ELECTRIC CO LTD
View PDF0 Cites 14 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Although the above applications are based on the preliminary analysis of consumers' spatiotemporal information, so far, we have not found relevant technologies to conduct in-depth analysis of the knowledge behind these spatiotemporal information, discover consumers' shopping preferences, and carry out intelligentization based on this , a variety of shopping guides

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
  • Intelligent shopping guiding method
  • Intelligent shopping guiding method
  • Intelligent shopping guiding method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0047] Such as figure 1 As shown, the method of intelligent shopping guide mainly includes the following steps:

[0048] (1) Data collection: By developing a map-based fast wifi positioning fingerprint data collection algorithm, the location data of the mobile terminal is obtained, and at the same time, the detailed map data in the shopping mall is obtained.

[0049] (2) Data cleaning:

[0050] There may be errors in consumer location data collected through positioning technology. Therefore, we use the following methods for data cleaning to eliminate inconsistencies and erroneous information and provide high-quality data for subsequent analysis.

[0051] (1) In view of the situation that consumers jump on different floors in a short period of time, we use window smoothing filtering to filter and correct.

[0052] (2) In view of the situation where the same consumer keeps jumping inside and outside the same store, we have more flexible handling of the consumer's store entry ...

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 an intelligent shopping guiding method, and relates to the fields of a big data analytics technology and a data mining technology. The intelligent shopping guiding method comprises the following steps of: a1, data acquisition: acquiring position data of a mobile terminal by developing a map-based fast wifi positioning fingerprint data acquisition algorithm, and simultaneously acquiring detailed map data in a market; a2, data cleaning: cleaning the acquired data, and eliminating the problems of inconsistency, vacancy and noise in the data; a3, data analysis: performing cluster analysis on the cleaned data, extracting a group track model of consumers, and mining a frequent pattern; a4, intelligent guiding: in combination with application scenarios, consumer tracks and the frequent pattern, performing intelligent guiding. According to the invention, by data mining and analysis, shopping preference of the consumers can be explored, accordingly, intelligent and diversified guiding is performed, consumption satisfaction of the consumers is improved, and new growth points are sought for markets and supermarkets in intense competition.

Description

technical field [0001] The invention relates to the fields of big data analysis technology and data mining technology; in particular, it relates to an intelligent shopping guide method. Background technique [0002] With the rapid development of e-commerce, the market share of retail entities (hereinafter referred to as supermarkets) has been severely squeezed; not only that, the homogeneous competition among many supermarkets has also made it more and more difficult for supermarkets to retain customers. In order to cope with the impact of e-commerce and the challenges of peers, it is the only way for supermarkets to improve the consumption experience and retain consumers. [0003] Considering that the popularity of smart phones enables people to easily obtain real-time location data of users, behind these data, there is a wealth of information about user behavior patterns. Therefore, in a commercial environment, in-depth mining and analysis of the spatio-temporal informati...

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): G06Q30/02
Inventor 钟吉英王欣于成业郝妙杜彤赵亮
Owner SICHUAN CHANGHONG ELECTRIC CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com