Case studies
Logistics
Logistics – National 3PL Provider: Slotting, Labor & Wave Optimization AI
Timeline: Build: 12 weeks. Deploy: DC-by-DC. Optimization: 11 weeks seasonality.
Business overview
Industry: contract 3PL. Size: multi-DC. Complexity: omnichannel retail clients.
Common pain points
Manual slotting, wave inefficiency, labor mismatch.
Full AI automation system (PrimeAxiom solution)
Slotting Agent, Wave Agent, Labor Agent, SLA Agent.
Automation workflow (detailed system flow)
1. Inbound forecast. 2. AI suggests moves. 3. Waves built. 4. Labor rostered. 5. SLA monitors. 6. Carrier exceptions. 7. Feedback loop.
AI agents & logic
Optimization Agent, Forecast Agent, Risk Agent.
Technical architecture
WMS integration, OR solvers, real-time telemetry.
Tools & integrations
Manhattan WMS, Blue Yonder hooks, PostgreSQL, OpenAI, labor analytics
Results
Pick path efficiency +17%; labor overtime −29%; SLA breach incidents −44%; inventory accuracy +0.3 pts (high-value SKUs).
Timeline
Build: 12 weeks. Deploy: DC-by-DC. Optimization: 11 weeks seasonality.