Supercharge Your Innovation With Domain-Expert AI Agents!

Customer and employee-based product recommendation method

A recommendation method and product technology, applied in data processing applications, sales/lease transactions, instruments, etc., can solve problems such as the inability to improve the transaction rate of business personnel, achieve both customer needs and employee interests, high reliability, and improve customer satisfaction degree of effect

Active Publication Date: 2021-02-05
武汉鼎森世纪科技有限公司
View PDF10 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In view of this, on the one hand, the present invention proposes a product recommendation method based on customers and employees to solve the problem that traditional product recommendation methods cannot improve the turnover rate of a certain business person only from the perspective of customers

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
  • Customer and employee-based product recommendation method
  • Customer and employee-based product recommendation method
  • Customer and employee-based product recommendation method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0039] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. Based on the implementation manners in the present invention, all other implementation manners obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of the present invention.

[0040] Such as figure 1 As shown, the product recommendation method based on customers and employees in this embodiment includes:

[0041] Step S1, setting multiple customer tags and multiple employee tags, setting the customer rating of each customer tag relative to each product and the employee rating of each employee tag relative to each product according to historical data;

[0042] Step S2, obtaining the customer portrait of the target custom...

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 provides a customer and employee-based product recommendation method and system, and the method comprises the steps: setting a label and calculating the possibility of transaction between a product and a customer through historical data under the condition that the intention of the customer and the label are unknown, and recommending the product with the highest possibility to the customer. Therefore, even if the recommended product cannot be most suitable for the customer, the transaction rate and the working efficiency of the business personnel can be improved, and the customerdemand and the employee benefit are both considered.

Description

technical field [0001] The invention relates to the technical field of product recommendation, in particular to a product recommendation method based on customers and employees. Background technique [0002] When recommending products to customers, business personnel can only recommend suitable products for customers based on the image, age, and gender intuitively expressed by customers, or directly determine the product type according to the needs expressed by customers themselves. The former is often unable to recommend the most suitable products for customers, and the latter cannot recommend the most suitable products for customers when their own needs are not clear. At present, the most suitable products can be recommended for customers through big data and machine learning algorithms, but most of these recommendation methods only start from the perspective of customers, and can only ensure that the recommended products are the most suitable for customers. When customers...

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
IPC IPC(8): G06Q30/06G06Q30/02
CPCG06Q30/0631G06Q30/0203
Inventor 胡亮
Owner 武汉鼎森世纪科技有限公司
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More

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

© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com