ItemConference Paper

Optimizing Retail Operations with Big Data-Driven Insights: From Inventory Management to Personalized Marketing

Title
Optimizing Retail Operations with Big Data-Driven Insights: From Inventory Management to Personalized Marketing
Creator
Praveenraj, D. David Winster; Kurup, Rahul R.; Almusawi, Muntather; Lakhamraju, Manoj Varma; Arunkumar, B.; Mittal, Prakhar
Description
In this paper, we look into the role of big data analytics in the strategic transition of retail businesses particularly on inventory management, supply chain and marketing. Using such technologies as big data and machine learning, retailers can find new patterns within such information that can lead to improved efficiency, and satisfaction of consumers. The study also shows noteworthy performance gain in areas of stock out and overstock, inventory Turns and delivery correctness. Even more, the approach to the customer targeting, that stemmed from the principles of the customer segmentation and recommendation systems, led to the growth of the conversion, customer loyalty, and customer lifetime value. The research evidence suggests that information-based management strategies contribute to organizational performance and sustained competitive advantage of firms operating in the retail sector. Issues like data integration, privacy and infrastructural, components are also addressed and hence making it easy form the basis of any future learning and trying out on the real life challenges. The current research focuses on the significance of big data for designing growth and innovation strategies in the changing retail environment. 2025 IEEE.
Source
2025 International Conference on Automation and Computation, AUTOCOM 2025;pp.342-346
Date
01-01-2025
Publisher
Institute of Electrical and Electronics Engineers Inc.
Subject
Big data analytics; customer experience; customer segmentation; data-driven decision-making; inventory management; machine learning; operational optimization; personalized marketing; retail operations; supply chain efficiency
Coverage
Praveenraj D.D.W., School of Business and Management, Christ University, Bangalore, India; Kurup R.R., School of Business and Management, Christ University, Bangalore, India; Almusawi M., College of Technical Engineering, The Islamic University, Department Of Computers Techniques Engineering, Najaf, Iraq; Lakhamraju M.V., Teckpros Llc, Department of Hr Technology, 10500 Little Patuxent Pkwy, Suite 430, Columbia, MD, United States; Arunkumar B., Karpagam Academy of Higher Education, Department of Computer Science Engineering, Coimbatore, India; Mittal P., AtriCure, Department of It, MAson, OH, United States
Rights
Restricted Access; Hardcopy may be available in the library
Relation
ISBN: 979-833154237-5;
Format
online
Language
English
Type
Conference paper

Citation

Praveenraj, D. David Winster; Kurup, Rahul R.; Almusawi, Muntather; Lakhamraju, Manoj Varma; Arunkumar, B.; Mittal, Prakhar, “Optimizing Retail Operations with Big Data-Driven Insights: From Inventory Management to Personalized Marketing,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 18, 2026, https://archives.christuniversity.in/items/show/25767.

Output Formats