LogisticsFeb 10, 2025E-commerce fulfillment networkOutcome: 21% lift in picks/hour
Robotic picking optimization for fulfillment
We tuned routing and perception to increase picks per hour without new hardware.
To lift throughput without buying new robots we focused on flow and perception:
- Rebalanced task allocation with real-time queue health and congestion signals.
- Improved grasp success by refining depth models and adding fast failover to alternate grasps.
- Deployed canary routes per site with automatic rollback if pick stability dipped.
Within one month, picks/hour climbed 21% and variance across shifts tightened, giving operations predictable output with the same fleet.