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.