National Logistics Provider
Deployed autonomous agents across inventory forecasting, route optimization, and vendor management — reducing operational costs by 47% in the first year.
Manual forecasting was costing $2M+ annually in overstock waste and stockouts.
Manual inventory forecasting causing $2M+ annually in overstock waste and stockouts. The organization's planning team was running spreadsheet-based forecasts refreshed weekly — a process that couldn't keep pace with real-time demand signals, supplier lead time variability, or seasonal volatility.
Route optimization was similarly manual: dispatchers allocated vehicles based on experience and gut feel, leaving significant fuel and time savings on the table. Vendor communication — purchase orders, acknowledgements, exceptions — required a dedicated team of six people whose work could be automated end to end.
The organization had evaluated RPA solutions and a commercial demand planning platform. Neither could handle the complexity and interconnectedness of their operation. They needed something that could reason, not just execute rules.
Deployed 24 FlockSoft agents across inventory forecasting, route optimization, and vendor management
FlockSoft deployed a cohort of 24 purpose-built agents, each trained on the client's historical operational data and integrated directly with their ERP, TMS, and supplier portals. Agents were grouped into three functional clusters: Inventory Intelligence, Route Optimization, and Vendor Operations.
The Inventory Intelligence cluster monitors demand signals from 180+ SKUs in real time, runs probabilistic forecasting models updated every four hours, and autonomously triggers replenishment orders within defined thresholds. Anomalous patterns — sudden demand spikes, supplier delays — are escalated to human planners with context and recommended actions pre-populated.
The Route Optimization cluster runs nightly across the full fleet, accounting for current load, driver availability, fuel costs, traffic patterns, and delivery windows. Routes are finalized and pushed to driver apps before each shift begins.
Inventory Intelligence
Demand forecasting, replenishment, anomaly detection
Route Optimization
Fleet routing, fuel optimization, delivery window management
Vendor Operations
PO management, supplier comms, exception handling
Three metrics.
Twelve months.
From kickoff to
full production.
“The agents don't just optimize — they anticipate. We've eliminated forecasting as a bottleneck entirely.”
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