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

Intelligent scheduling platform for customer visit

An intelligent and scheduling technology, applied in the direction of instruments, character and pattern recognition, data processing applications, etc., to achieve the effects of scientific and reasonable structure, safe and convenient use, and easy use and management

Inactive Publication Date: 2020-10-30
亿景智联(苏州)科技有限公司
View PDF3 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The present invention provides an intelligent shift scheduling platform for customer visits, which can effectively solve the problems in the above-mentioned background technology that each business person should determine the area, customer, route, and task volume, but how to improve the work efficiency of the business personnel and abandon the cumbersome Manual scheduling has always been an unsolvable problem

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 scheduling platform for customer visit
  • Intelligent scheduling platform for customer visit

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0031] Example: such as Figure 1-2 As shown, the present invention provides a technical solution, an intelligent scheduling platform for customer visits, clustering according to distance, and optimizing scheduling based on AOI data, one shopping mall can not be scheduled for more than one day, and the number of days is calculated according to the number , using the VRP model for distribution.

[0032] According to the above technical solution, clustering uses the dbscan clustering algorithm. DBSCAN is a clustering algorithm based on density space, which can be used for concave data sets and is suitable for cluster analysis of irregularly distributed customer points. DBSCAN needs to determine two parameters : Eps is the radius of the adjacent area around a point; MinPts is the number of points contained in the adjacent area at least, the selection of Eps depends on the actual problem, and the selection of MinPts is usually determined by the k-distance image method, using an au...

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 scheduling platform for customer visit. Clustering is performed according to the distance, scheduling optimization is carried out on the AOI data; one shopping mall cannot complete sheduling in one day at most; the number of days is calculated according to the quantity, a VRP model is adopted for distribution; a dbscan clustering algorithm is used in the clustering process; the DBSCAN is a clustering algorithm based on a density space, can be used for concave data sets, is suitable for clustering analysis of irregularly distributed client points; automatic customer return visit is achieved by utilizing spatio-temporal data and based on a machine learning algorithm and corresponding constraint conditions; engineering and automation of the return visitschedule and path planning are achieved, the return visit schedule arrangement can be automatically completed as long as an operator updates client data and corresponding constraint rules, the accuracy can be as high as an hour level, the effectiveness of client return visit can be greatly improved, the operation cost is saved, the operation efficiency is improved, and the satisfaction degree of clients is improved.

Description

technical field [0001] The invention relates to the technical field of intelligent control, in particular to an intelligent scheduling platform for customer visits. Background technique [0002] Scheduling is a daily management task of many companies. A set of fair and reasonable scheduling software can not only mobilize the enthusiasm of employees, but also improve work efficiency, which is of great significance to enterprises; [0003] Business personnel visit offline terminal stores, scientifically manage the frequency of customer visits, and divide business personnel into regions. Each business personnel defines areas, customers, routes, and tasks. However, how to improve the work efficiency of business personnel and abandon tedious manual scheduling , has been an unresolvable problem. Contents of the invention [0004] The present invention provides an intelligent shift scheduling platform for customer visits, which can effectively solve the problem of how to improve...

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): G06Q10/10G06K9/62
CPCG06Q10/1097G06F18/2321
Inventor 田鹏飞张宇亭谷守邦孙伟吴丹储鑫淼
Owner 亿景智联(苏州)科技有限公司
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