Warehouse.OSSeize the Future of Operations
Most warehouses run on static rules and disconnected systems.
An iterative, learning system - not a traditional WMS.
Self-learning AI - not static rules
Forge adapts to your operation over time - learning from every transaction, shift pattern, and exception to continuously refine decisions without manual rule tuning.
Live digital twin simulation
A real-time digital model of your warehouse lets you test scenarios, predict bottlenecks, and validate changes before they hit the floor.
Autonomous multi-agent decisions
Specialized AI agents coordinate across picking, putaway, replenishment, and labor - making thousands of micro-decisions per hour in concert.
Hourly re-optimization cycles
Instead of planning once per day, Forge re-evaluates slotting, wave logic, and task priorities every hour to keep execution aligned with real conditions.
See what can do with your data - before you commit.
We run a complimentary analysis on your real operational data to quantify pick-path savings, throughput gains, labor efficiency, and projected ROI. No obligation - just clarity.
Modular optimization engines that compound value as they learn.
From high-velocity distribution to complex manufacturing and multi-site networks.
E-commerce DCs
Handle changing order mix, surge demand, and shipping pressure.
Manufacturing
Coordinate inventory and material flow where production timing matters.
Multi-site distribution
Modular intelligence across facilities with centralized visibility.
Logistics & fulfillment
Adapt around varied requirements while keeping teams moving.
30-42% reduction in picker travel
25-38% increase in tasks per hour
60%+ fewer replenishment trips
Dramatic cut in dock-to-ship time
A continuously optimizing decision engine - not a static WMS.
Legacy systems optimize once and hope for the best. Forge re-optimizes continuously - every hour, every shift - with reinforcement learning that compounds value the longer it runs. No other warehouse system does this.
