Advanced International Journal of Multidisciplinary Research

E-ISSN: 2584-0487

An Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 3 Issue 1 January-February 2025 Submit your research before last 3 days of February to publish your research paper in the issue of January-February.
Submit Research Paper Join as a Reviewer

Plagiarism is checked by the leading plagiarism checker TurnItIn

Call for Paper

Volume 3 Issue 1
January-February 2025

Submit your research paper

AI-Driven Business Intelligence in Retail: Transforming Customer Data into Strategic Decision-Making Tools

Author(s) MD Nadil khan, Junaid Baig Mirza, MD Mohaiminul Hasan, Rajesh Paul, Mohammad Rakibul Hasan, Ayesha Islam Asha
Country United States
Abstract The use of Artificial Intelligence (AI) in combination with Business Intelligence (BI) has greatly improved the retail industry since it helps companies understand and capitalize on the large amounts of data collected on customers. The purpose of this research is to examine the concept of AI in the business intelligence tools in the retail industry to convert customer data into valuable business information. The study utilizes empirical approach in its analysis and applies the current state of machine learning algorithms, predictive analysis and real-time data processing to determine the effect on operational efficiency, customer satisfaction and sales. To support this, a quantitative analysis of global retail industry cases in which AI-enforced BI systems have produced tangible results, including a 20-30% enhancement in inventory management and a 15-25% boost in customer loyalty, is presented. The subsequent analysis also unveils the new areas for AI implementation in customer segmentation, individual marketing, and demand prediction. The paper also fills the gaps in the existing literature by demonstrating that AI-driven BI tools are faster, more accurate, and scalable than traditional decision-making tools. The real-life examples presented in the study can help retailers to improve their business performance, increase revenue, and improve customer interactions. The paper concludes with a call to action to embed AI into BI systems to support future-proofing of retail strategies; although recognising the barriers to doing so such as data privacy, ethical issues, and limited resources. This study has implications for retailers, policy makers, and scholars as it provides a much-needed link between technology development and retail strategy.
Keywords AI-Driven Business Intelligence, Retail Analytics, Customer Data, Strategic Decision-Making, Machine Learning
Discipline Other
Published In Volume 3, Issue 1, January-February 2025
Published On 2025-01-08
Cite This AI-Driven Business Intelligence in Retail: Transforming Customer Data into Strategic Decision-Making Tools - MD Nadil khan, Junaid Baig Mirza, MD Mohaiminul Hasan, Rajesh Paul, Mohammad Rakibul Hasan, Ayesha Islam Asha - AIJMR Volume 3, Issue 1, January-February 2025.
View / Download Full-text Research PDF File

Share this



E-ISSN 2584-0487
Downloads
Cover Page Vol 2 Isu 5 Cover Page Vol 2 Isu 4 Cover Page Vol 2 Isu 3 Research Paper Format

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA Open Access

About AIJMR
Fees & Payment
Current Issue
Publication Archive 		Submit Research Paper
Track Submission Status
Publication Guidelines
Publication Ethics
Peer Review & Plagiarism 		Join as a Reviewer
Editors & Reviewers
Reviewer Referral Program
Get Reviewer Membership Certi. 		Website/Journal Policies
Usage Policy
Content Policies
Privacy Policy
Contact Us +91-9328-605090 editor@aijmr.com