AI-Driven Business Analytics System for Sales, Customer Insights, and Forecasting

L, Barath; M, Suganthavanathan; D, Pooja

doi:https://doi.org/10.55041/ijsmt.v2i4.528

Plagiarism Passed

Peer reviewed

Open Access

AI-DRIVEN BUSINESS ANALYTICS SYSTEM FOR SALES, CUSTOMER INSIGHTS, AND FORECASTING

AUTHORS:

Barath L

Suganthavanathan M

Pooja D

Mentor

Dr. Perumal S

Affiliation

Department of Computer Science and Information Technology, Vels Institute of Science, Technology & Advanced Studies VISTAS, Chennai, India

DOI: 10.55041/ijsmt.v2i4.528

CC BY 4.0 License:

This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

DOWNLOAD ARTICLE

REVIEW REPORT

CITE THIS ARTICLE

Abstract

In the current digital era, organizations continuously produce large amounts of data through transactions, customer engagements, and online platforms. Transforming this raw data into meaningful information is essential for gaining business value. Business analytics enables this transformation by identifying underlying patterns, trends, and relationships within the data. Traditional reporting methods often struggle with data inconsistency, increasing volumes, and limited analytical capabilities

Keywords

Article Information

Article Metrics

Article Views

PDF Downloads

HOW TO CITE

References

Ethics and Compliance

✓ All ethical standards met

This article has undergone plagiarism screening and double-blind peer review. Editorial policies have been followed. Authors retain copyright under CC BY-NC 4.0 license. The research complies with ethical standards and institutional guidelines.

Indexed In