Inventory Visibility with Autonomous Agents
The Challenge
Retail operations faced several challenges, including delayed updates from stores and warehouses, inconsistent stock data across POS, ERP, and WMS systems, and imbalanced inventory with overstock in some locations and stockouts in others. These inefficiencies led to high costs from emergency inter-store transfers and missed omnichannel sales opportunities.
- Delayed updates from stores and warehouses
- Inconsistent stock data across POS, ERP, and WMS
- Overstock in some locations, stockouts in others
- High cost of emergency inter-store transfers
- Missed omnichannel sales opportunities
Amantra Solution
To overcome operational inefficiencies and data fragmentation across retail systems, Amantra deployed autonomous AI agents that functioned as always-on, intelligent inventory managers. These agents operated continuously across POS, ERP, and WMS platforms, enabling complete synchronization, proactive decision-making, and frictionless inventory flow throughout the network.
- Monitored POS, ERP, and WMS data feeds in real time
- Detected mismatches between systems and corrected them
- Forecasted depletion rates and alerted replenishment teams
- Recommended stock redistribution between locations
- Automatically triggered replenishment workflows in ERP
Results
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Inventory accuracy improved from ~72% to 98.5% after implementing Amantra.
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Stockout rate reduced significantly from 14% to 4%.
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Overstock value decreased by 22%, optimizing inventory levels.
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Transfer time shortened from days to hours, speeding up operations.
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Omnichannel order fulfillment capacity increased by 3.2x, enhancing overall efficiency