Inventory demand planning models for multi-region retail distribution networks

Firoz Rashid; Puja Barua; Sharuf Hasan Al Kabir Joy; Ikramul Hossain

doi:10.30574/ijsra.2026.20.1.1136

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Inventory demand planning models for multi-region retail distribution networks

Firoz Rashid ^{1, *}, Puja Barua ², Sharuf Hasan Al Kabir Joy ³ and Ikramul Hossain ⁴

¹ Master of Business Administration in Management Information Systems, University of Dhaka.
² Master’s in Management Information Systems, Lamar University, Beaumont, Texas, United States.
³MBA in Supply Chain Management, Texas A&M University–Texarkana, Texas, United States.
⁴ Masters in Maritime Business Administration and Logistics, Texas A&M University at Galveston.

Research Article

International Journal of Science and Research Archive, 2026, 20(01), 351–365

Article DOI: 10.30574/ijsra.2026.20.1.1136

DOI url: https://doi.org/10.30574/ijsra.2026.20.1.1136

Publication history

Received on 08 April 2026; revised on 07 July 2026; accepted on 10 July 2026

Abstract

Retail distribution networks depend on accurate demand planning to maintain product availability across multiple geographic regions. Poor demand estimation may cause inventory shortages or excessive stock accumulation. This study examines demand planning models used in retail distribution systems. Sales history, seasonal demand variation, and regional consumption patterns were evaluated using statistical forecasting techniques. The findings indicate that structured demand analysis supports improved inventory allocation across regional warehouses.

Keywords

Inventory planning; Retail distribution; Demand forecasting; Logistics management; Supply chain analytics

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How to cite this article

Firoz Rashid, Puja Barua, Sharuf Hasan Al Kabir Joy and Ikramul Hossain. Inventory demand planning models for multi-region retail distribution networks. International Journal of Science and Research Archive, 2026, 20(01), 351–365. Article DOI: https://doi.org/10.30574/ijsra.2026.20.1.1136.

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