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After six months of operation, the solution successfully reduced dead inventory by 67% and increased product availability to 96%, eliminating the reliance on outdated historical reports. Thanks to this total visibility, the company decreased lost sales due to stockouts by 41%, freeing up trapped capital and transforming its operational efficiency.
A clothing retail chain with 45 branches nationwide faced one of the most costly problems in retail: inventory imbalance. While some stores accumulated unsold products, others lost sales due to a lack of stock. The purchasing team made decisions based on historical reports that arrived weeks late, and projection errors generated annual losses in discontinued merchandise.
An AI-powered inventory management system was implemented, capable of analyzing over 40 simultaneous variables in real-time. The system evaluates:
Based on this data, the system generates automatic replenishment orders, suggests inventory transfers between stores, and alerts the purchasing team whenever it detects anomalies in a product’s behavior.
After six months of operation, the chain reduced its dead inventory by 67%, increased its in-store product availability rate to 96%, and freed up capital that was previously trapped in slow-moving merchandise. Lost sales due to stockouts dropped by 41%.
Dive into the world of generative AI adoption with our free, on‑demand virtual event series.
Whether you're just getting started or ready to implement, our experts can assess your technology needs, address existing challenges, and provide comprehensive solutions for business growth