This article explores the data‑driven logistics management system I introduced to improve feed distribution efficiency in Turkmenistan’s Lebap Region. The approach combines statistical forecasting with route optimization, allowing agricultural enterprises to minimize waste and fuel consumption while ensuring timely delivery of essential feed supplies. These strategies are highly relevant to improving sustainability and economic stability in agricultural sectors globally.

When I joined the Azyk Production Association, feed distribution routes were often determined manually without analytical support. This caused frequent delivery delays and increased spoilage of perishable goods. To resolve these challenges, I applied analytical tools for predicting demand fluctuations and optimizing route planning based on historical transport data.

I designed a system combining warehouse data, transportation schedules, and fuel‑use statistics in a unified Excel‑based database. This system generated automated route plans according to volume, distance, and delivery urgency. It also included temperature and storage condition variables for perishable goods. The resulting analytics dashboard enabled decision makers to identify the most efficient routes and allocate resources dynamically.

Implementation of this system produced significant improvements. Delivery times decreased by 28%, fuel costs dropped by 15%, and inventory accuracy increased by 19%. These changes directly supported sustainability goals by reducing waste and improving coordination among logistics teams. The methodology was later introduced in related agricultural enterprises under the Ministry of Agriculture and Environmental Protection.

The success of this approach demonstrates its relevance beyond Central Asia. The United States faces similar challenges in regional food distribution—especially in rural communities. Applying this data‑driven logistics model can enhance the efficiency of U.S. feed and produce distribution systems, contributing to national goals of sustainability and cost reduction.

Optimizing feed distribution through data‑driven logistics not only advances agricultural productivity but also contributes to environmental sustainability. The innovations I introduced illustrate how technology and analytical thinking can transform traditional agricultural processes. These achievements collectively demonstrate my professional commitment and original contributions to agricultural logistics.

By Alisher AHMEDOV.