The retailer relied on outdated warehouse systems and manual inventory reconciliation across multiple distribution centers. As product variety and store demand increased, these systems struggled to maintain accurate inventory data and responsive replenishment.Store teams frequently faced out-of-stock situations for high-demand items, impacting customer satisfaction and sales. At the same time, excess stock in other locations increased spoilage and operational costs.Demand forecasting was largely based on historical patterns, limiting the company’s ability to respond to regional demand changes or promotional spikes. Supplier coordination also lacked real-time visibility, creating delays in inbound shipments and inventory updates.The retailer needed a modern warehouse and supply chain platform capable of providing real-time inventory visibility, predictive demand insights, and streamlined supplier collaboration.

Zymr helped the retailer transform its supply chain into a data-driven logistics operation. By modernizing warehouse systems and introducing AI-powered forecasting, the company improved product availability while reducing operational inefficiencies.

• Inventory Accuracy Improved to 99.2%
• 27% Improvement in Store Service Levels
• $84M Annual Supply Chain Cost Savings
• Reduced Out-of-Stock Incidents
• Improved Forecast Accuracy Across Stores

‍