A Data-Driven Predictive Analytics Framework for Retail Sales Forecasting  and Closed-Loop Inventory Optimization

Venkatagiri Sufiya ,Dr. G.V. Ramesh Babu

A Data-Driven Predictive Analytics Framework for Retail Sales Forecasting and Closed-Loop Inventory Optimization

Authors

Venkatagiri Sufiya ,Dr. G.V. Ramesh Babu

Keywords:

Super Market Sales Prediction, Machine Learning, Random Forest, Sales Forecasting, Retail Analytics

Abstract

The Super Market Sales Prediction System is a data-driven solution designed to forecast future sales andsupport decision-making in retail supermarket environments. Accurate sales prediction helps retailersoptimize inventory management, reduce stock shortages, minimize wastage, and improve overall business profitability.

References

Du, B.; Li, Z.; Yuan, J.; Zheng, J.; Shu, W.; Jin, Y. Customer’s Channel Selection Behavior on Purchasing Standardized and Customized Products:

Optimized Prices and Channel Performances. Front. Psychol. 2022, 13, 1634. [Google Scholar] [CrossRef] [PubMed]

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Published

2026-06-14

How to Cite

Venkatagiri Sufiya ,Dr. G.V. Ramesh Babu. (2026). A Data-Driven Predictive Analytics Framework for Retail Sales Forecasting and Closed-Loop Inventory Optimization. Journal of Computational Analysis and Applications (JoCAAA), 35(6), 93–100. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/5576