Research on the application of data mining based on digital economy in customer segmentation management

As an important resource of modern enterprise construction management, how to keep customers is crucial to the profitability of enterprises. Especially after entering the era of big data, with the continuous development of social economy and science and technology, all walks of life are facing increasing pressure of market competition, and customer groups are showing a diversified trend. In order to accurately identify customer groups, scientifically equip limited resources, and improve the core competitiveness of enterprises in the market development, there are more and more research topics on customer segmentation management. After continuous development in recent years, the corresponding theories and methods have become more and more perfect, and are now widely used in various industry business activities. After understanding the development trend of digital economy, this paper mainly discusses the application of data mining based on digital economy in customer segmentation management according to the research situation of customer segmentation management at home and abroad, and finally verifies the application advantages of the model algorithm according to the data obtained by a regional logistics enterprise.

Authors

Institutions

Publication Details

Journal
SHS Web of Conferences
Published
2025-01-01
DOI
https://doi.org/10.1051/shsconf/202521501021
Primary Topic
E-commerce and Technology Innovations
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Research on the application of data mining based on digital economy in customer segmentation management

Chenglin Zhang
SHS Web of Conferences
E-commerce and Technology Innovations
article

Research on the application of data mining based on digital economy in customer segmentation management

Chenglin Zhang
article en

Abstract

As an important resource of modern enterprise construction management, how to keep customers is crucial to the profitability of enterprises. Especially after entering the era of big data, with the continuous development of social economy and science and technology, all walks of life are facing increasing pressure of market competition, and customer groups are showing a diversified trend. In order to accurately identify customer groups, scientifically equip limited resources, and improve the core competitiveness of enterprises in the market development, there are more and more research topics on customer segmentation management. After continuous development in recent years, the corresponding theories and methods have become more and more perfect, and are now widely used in various industry business activities. After understanding the development trend of digital economy, this paper mainly discusses the application of data mining based on digital economy in customer segmentation management according to the research situation of customer segmentation management at home and abroad, and finally verifies the application advantages of the model algorithm according to the data obtained by a regional logistics enterprise.

SHS Web of ConferencesVol. 215
Wuhan University (CN), Hubei University Of Economics (CN)
Openalex Percentile: Top 82%
E-commerce and Technology Innovations
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.