Smart Inventory & Warehouse Automation — Global Industrial Supplier (Chicago)
Visual: AGVs, shelf-level IoT tags, and fulfillment dashboards.
Client Overview
A global industrial parts distributor with multiple fulfillment centers across North America. High SKU counts and seasonal demand spikes were creating order errors and slow fulfillment cycles.
Challenge
The warehouse faced frequent inventory inaccuracies, manual picking errors, and inefficient routing that slowed order fulfillment and increased return rates.
Goals: reduce errors, speed up fulfillment, and lower labor dependence during peak seasons.
Solution — Warehouse Automation Ecosystem
We implemented a hybrid system combining shelf-level IoT tags, AI-driven pick optimization, and a fleet of AGVs to automate material movement, integrated into the client’s WMS.
Key components
Approach
- Inventory tagging & reconciliation to create an accurate baseline.
- Pilot AGV lanes and vision-enabled pick stations in a single zone.
- Progressively expand AGV coverage and integrate with WMS APIs.
- Operational handover with performance KPIs and staff training.
Technology stack
Implementation — Timeline
Phase 1 — Inventory Audit (Weeks 1–3)
Full SKU tagging and reconciliation to establish accurate on-hand counts.
Phase 2 — Pilot Zone (Weeks 4–12)
Deployed AGVs and vision-assisted pick stations in 1/8th of the warehouse; measured pick accuracy and throughput.
Phase 3 — Scale (Weeks 13–28)
Expanded AGVs across zones, fully integrated with WMS for dynamic tasking.
Phase 4 — Stabilize & Train (Weeks 29–36)
Operational stabilization, shift schedules updated, and KPI cadence established.
Impact & Results
60%
Reduction in inventory errors
40%
Faster order fulfillment time
30%
Labor cost reduction during peaks
99.6%
Pick accuracy (post-deployment)
Qualitative outcomes
- Significantly fewer returns due to incorrect shipments.
- More predictable labor planning during seasonal demand spikes.
- Higher customer satisfaction due to faster, more accurate deliveries.
Client Testimonial
Key Highlights & Learnings
- Start pilots in the busiest SKU zones to show impact fast.
- Vision-assisted validation bridges the gap between automation and human workflows.
- Strong WMS integration is essential for dynamic AGV tasking and reliability.