Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Retail store product sales predicting method based on collaborative filtering

A collaborative filtering algorithm and collaborative filtering technology, used in forecasting, business, instrumentation, etc., can solve the problems of no collaborative filtering recommendation system application method and difficulty in obtaining customer data.

Inactive Publication Date: 2014-07-30
CHINA TOBACCO GUANGXI IND
View PDF0 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For offline traditional retail channels, due to the difficulty of obtaining specific customer data, there is currently no recommendation system application method for collaborative filtering

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
  • Retail store product sales predicting method based on collaborative filtering
  • Retail store product sales predicting method based on collaborative filtering
  • Retail store product sales predicting method based on collaborative filtering

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0046] The present invention will be further elaborated below in conjunction with the accompanying drawings.

[0047] Such as figure 1 Shown is the implementation flow chart of the method for forecasting product sales at retail outlets based on collaborative filtering in the present invention, specifically including:

[0048] Step 1: Collect data including retail outlets, products (specifications), and known sales volume of products at retail outlets; known sales volume refers to sales data with sales performance within the target time of investigation, especially for products that have been launched The sales performance data of retail outlets for full marketing and promotion activities; from the perspective of enterprises’ easy access to data, the sales volume of products can also be regarded as the number of orders purchased by retail outlets from manufacturers;

[0049] Step 2: In order to make the sales data of different products at different retail outlets have uniform ...

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 retail store product sales predicting method based on collaborative filtering. The sales prediction of unknown products (specifications) in retail stores is worked out based on the collaborative filtering technology according to sales data of known products (specifications) in different retail stores. According to the scheme, the method comprises the steps that firstly, data such as the retail stores, the products (specifications) and the known sales of the products in the retail stores are collected; secondly, sales-grade conversion is carried out on the known sales to obtain the corresponding grading value; thirdly, the retail stores correspond to users, the products correspond to projects, the grade is the sales-grading conversion result obtained in the second step, and unknown grades are estimated according to the collaborative filtering algorithm; fourthly, the sales-grade inverse transformation is carried out on the grade estimation worked out in the third step, and then the sales prediction is obtained. As the improvement, six kinds of sales-grade conversion and the corresponding inverse transformation are provided, and therefore the sales data of different products in the different retail stores have the comparable grading numerical values with the uniformed standard for the collaborative filtering computing. According to the designed predicting method, the enterprise accurate marketing can be achieved, and guidance can be provided for the marketing activity development and estimation of the products in the retail stores.

Description

technical field [0001] The invention belongs to the fields of product marketing and data mining, and in particular relates to the design of a method for predicting product sales at retail outlets based on collaborative filtering. Background technique [0002] Product precision marketing is to conduct a detailed analysis of different consumers in the target market through a combination of quantitative and qualitative methods. According to their different consumer psychology and behavior characteristics, the company adopts targeted modern technologies, methods and clear-cut strategies to achieve Marketing communication with strong effectiveness and high return on investment for different consumer groups in the target market. Due to the specific geographical location, environment and other characteristics of physical retail outlets, they are oriented to specific consumer groups and consumption habits. When manufacturers sell products through this traditional retail channel, the...

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): G06Q10/04G06Q30/00
Inventor 孙忱郭晓惠邓超高荣
Owner CHINA TOBACCO GUANGXI IND
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
Eureka Blog
Learn More
PatSnap group products