Supply Chain & Logistics
Agents that don't just forecast and alert — they act, adapt, and negotiate in real-time.
Traditional supply chain AI watches and reports. By the time your team reacts, the disruption has already hit.
We build agentic AI that acts autonomously — replanning orders, negotiating with carriers, adjusting inventory policies, and coordinating warehouse systems in real-time. Your planners don't chase exceptions; they query and command the supply chain through natural language.
Your infrastructure. Your data. Yours to own.
Why Agentic
Monthly forecast cycles
Continuous demand sensing
Planners execute changes
Agents execute, planners supervise
Dashboards and reports
Natural language queries and commands
Static safety stock rules
Reinforcement learning for inventory
React to disruptions
Detect early, execute playbooks automatically
Manual carrier negotiations
Agents negotiate rates and capacity in real-time
Siloed warehouse systems
Multi-agent orchestration of robots and automation
Scenarios as slide decks
Digital twin simulation on live data
What We Build
Agentic systems for autonomous supply chain operations
Autonomous Replanning
Agents that don't just forecast — they autonomously adjust orders, allocations, and schedules as conditions change
Multi-Agent Negotiation
Agents that negotiate with carrier systems, supplier portals, and marketplace APIs in real-time to secure capacity and rates
Natural Language Control Towers
Planners query and command the supply chain through conversation — "What's my exposure if port X closes?" gets an answer in seconds
Reinforcement Learning for Inventory
Agents that learn optimal inventory policies through continuous experimentation — not static safety stock rules
Vision + Robotics Orchestration
Agents coordinating autonomous mobile robots, picking systems, and warehouse automation in real-time
Demand Sensing
Continuous demand signals from POS, market data, and external events — not monthly forecast refreshes
Supplier Network Intelligence
Graph-based visibility into multi-tier supplier dependencies, risk propagation, and alternative sourcing
Disruption Response Automation
Agents that detect disruptions early and execute mitigation playbooks — not just alert and wait
Control Tower Intelligence
Supply chain leaders shouldn't dig through dashboards. We build natural language control towers that let planners query, simulate, and command — in conversation.
Natural language queries
"What's my exposure if port X closes?" — answered in seconds
Conversational commands
"Shift 500 units from DC East to DC West" — executed
Scenario simulation
"What if lead times double from Asia?" — impact modeled instantly
Exception triage
Prioritized alerts with recommended actions, not just notifications
Cross-system visibility
Unified view across ERP, WMS, TMS — one interface
Agentic AI in Action
Real AI agents working together autonomously to deliver results in your industry. Select a scenario and watch them work.
This is the exact agent architecture we deploy for clients today.
Synthetic data for privacy. Architecture identical to live client deployments.
From the Field
Reduction in inventory carrying costs
European FMCG company, forecast-driven replenishment system deployed.
Continuous demand sensing. Dynamic safety stock optimization. Leaner inventory without service level impact.
Most of our work is deep IP creation. Our clients protect what they're building. So do we.
But we can walk you through how we built it and what it achieved.
Talk to an EngineerTechnical Foundations
How we build agentic supply chain systems — Deployed on your infrastructure: cloud, on-prem, or hybrid. Edge deployment for warehouse systems.
Deployed on your infrastructure — cloud, on-prem, or hybrid. Edge deployment for warehouse systems.
From kickoff to production system. Not a demo—a working system on your infrastructure.