Optimizing Warehouse Throughput for a Global 3PL Provider
Industry: Logistics
Client Overview
A major third-party logistics (3PL) provider was struggling to meet peak season
demand at their primary distribution center. Their existing layout led to
congestion, inefficient picking routes, and delays in order fulfillment, threatening
key customer SLAs.
Key Challenges
- Bottlenecks in high-traffic areas during peak hours.
- Suboptimal inventory slotting strategies.
- Difficulty in evaluating the potential impact of new automation systems.
- High labor costs due to inefficient travel paths for pickers.
Our Solution
We built a Process Digital Twin of the entire warehouse, simulating the movement of
goods, people, and equipment. The solution enabled them to:
- Model material flow from receiving to shipping, identifying key congestion
points.
- Run "what-if" scenarios to test new layouts and inventory slotting strategies.
- Simulate the introduction of Autonomous Mobile Robots (AMRs) to quantify the
potential ROI.
- Optimize picking paths and resource allocation based on real-time order volumes.
22%
Increase in Order Throughput
18%
Reduction in Picker Travel Time
6-Month
Payback on Project Investment