Despite implementing SAP-driven S&OP and MRP, the company faced excess and obsolete inventory, poor visibility into root causes, and supplier variability. High working capital lock-in, warehousing costs, and firefighting to meet demand disrupted service levels and reduced agility for product launches.
Translytics deployed its AI-Powered Inventory Optimization Engine with anomaly detection and root cause analysis. The system mapped inventory processes, identified supplier performance gaps, and provided corrective levers for better planning, reducing costs and improving fulfillment reliability.
Balances stocks across locations to cut costs and boost availability.
Detects supply-demand risks early to prevent stockouts or excess.
Adapts reorder strategies in real time for agile fulfillment.
Reveals cash tied in inventory to drive smarter utilization.
"With Translytics, we finally gained visibility into the root causes of inventory bloat. The corrective levers helped us cut costs while improving reliability."