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Autonomous AI agents for supply chain intelligence

FRACIFY deploys multi-agent systems that optimize every layer of logistics — from procurement and inventory to fleet routing and last-mile delivery — reducing costs while improving service levels.

32%Cost reduction achieved
96%On-time delivery rate
12+Countries served

Swarms of agents optimizing every link in the chain

Modern supply chains are complex networks of suppliers, manufacturers, warehouses, carriers, and customers. FRACIFY's agent swarms continuously optimize this network — rerouting around disruptions, balancing inventory across nodes, and predicting demand before it materializes.

Supply chain optimization

Our agents model the entire supply chain as a dynamic graph, continuously optimizing procurement, production, and distribution decisions. Each agent manages a specific node or relationship, collaborating to achieve global optimization targets.

  • Multi-echelon inventory optimization with service-level targets
  • Supplier risk scoring with real-time geopolitical and weather monitoring
  • Dynamic sourcing recommendations based on cost, quality, and lead time
  • Production scheduling with constraint-aware optimization
  • Disruption detection and automated contingency planning

Fleet routing & optimization

FRACIFY's routing agents solve the vehicle routing problem at enterprise scale — optimizing thousands of vehicles across millions of stops per day. Agents adapt to traffic, weather, and delivery windows in real-time.

  • Dynamic route optimization with live traffic and weather data
  • Multi-depot, multi-vehicle routing with time windows
  • Electric vehicle fleet management with charging station optimization
  • Real-time rerouting on disruption events
  • Driver behavior analysis for fuel efficiency improvement

Warehouse automation

Warehouses are the beating heart of logistics. FRACIFY agents coordinate robotic fleets, optimize pick paths, and predict maintenance needs — turning warehouses into autonomous fulfillment centers.

  • Autonomous mobile robot (AMR) fleet coordination
  • Dynamic slotting optimization based on item velocity and affinity
  • Pick path optimization for human and robotic pickers
  • Predictive maintenance for conveyor systems and robotics
  • Labor forecasting and shift optimization

Demand forecasting

Accurate demand forecasting is the foundation of efficient logistics. FRACIFY's forecasting agents combine internal sales data with external signals — weather, economic indicators, social trends — to predict demand at SKU-store-day granularity.

  • Hierarchical forecasting at SKU, category, and aggregate levels
  • External signal integration (weather, economic, social media)
  • Promotion response modeling with causal inference
  • New product forecasting with cross-category similarity
  • Automated replenishment with service-level optimization