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Scientific articles

AI-DRIVEN DEMAND FORECASTING AS A TOOL FOR SUSTAINABLE FMCG DISTRIBUTION

DOI 10.67668/mj/2025issspecial/1444 Pages 91-96

Published 2025-10-16

Authors
F. Sh. Jamoliddinov
Affiliation
Tashkent State University of Economics image/svg+xml
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Abstract

This thesis explores AI-driven demand forecasting as a strategic tool for sustainable FMCG distribution. It shows how AI enhances inventory accuracy, reduces waste, and optimizes logistics. Global best practices (Unilever, P&G) illustrate realworld applications, while the case for Uzbekistan emphasizes digital integration to align with green economy goals.

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