Twin.OS
The Twin.OS and Mother Brain combine a live warehouse mirror with simulation, scoring, and reinforcement learning so the platform can test, rank, and improve decisions continuously.
Better decisions before risk reaches the floor.
Continuous optimization instead of periodic tuning.
A stronger bridge between planning and execution.
Twin.OS
Self-evolving warehouse model for simulation, scoring, and RL-driven improvement.
Pre-Floor Modeling
Model warehouse conditions before changes hit the floor.
Scenario Scoring
Run scenario scoring across waves, allocation, cross-dock, and slotting decisions.
RL Feedback
Continuously improve policy with reinforcement-learning feedback.
Peak Simulation
Simulate peak-day scenarios to stress-test operational readiness.
Confidence Scoring
Provide confidence scores on every recommendation before execution.