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AI-Driven Customer Churn Prediction in SAP BRIM Environments Using Machine Learning

  • Madras University
  • Jugl Incorporation Limited
  • Jugl Incorporation Limited Anna University

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish
Title of host publication2025 IEEE 16th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2025
EditorsRajashree Paul
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages134-142
Number of pages9
ISBN (Electronic)9798331565015
DOIs
StatePublished - 2025
Externally publishedYes
Event16th IEEE Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2025 - Yorktown Heights, United States
Duration: Oct 22 2025Oct 24 2025

Publication series

Series2025 IEEE 16th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2025

Conference

Conference16th IEEE Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2025
Country/TerritoryUnited States
CityYorktown Heights
Period10/22/2510/24/25

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

ASJC Scopus Subject Areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction
  • Instrumentation

Keywords

  • Churn prediction
  • Machine Learning
  • SAP BRIM
  • Subscription Analytics

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