AutoScheduler.AI CEO Keith Moore was featured in Supply Chain World magazine, breaking down why traditional WMS and ERP platforms weren’t built to handle real-time warehouse execution — and what’s replacing them. He introduces the idea of “decision latency”: the gap between spotting a problem on the floor and actually fixing it, and argues that closing that gap is now the biggest lever for warehouse performance. Read his full take below.
Key Takeaways
- Legacy systems record, they don’t react. ERPs run on daily or monthly cycles and WMS platforms track inventory and dispatch static work — neither is built to adjust in real time when conditions on the floor change.
- “Decision latency” is the real cost center. The delay between noticing a disruption and acting on it drives detention fees, idle automation, and reactive firefighting — not a lack of data.
- Agentic AI closes the gap without a system overhaul. Rather than replacing existing WMS/ERP/TMS infrastructure, decision agents sit on top of it, continuously sensing, deciding, and acting on labor, dock, and inventory tradeoffs in real time.
- Explainability is what builds floor-level trust. Modern decision agents can explain their reasoning in plain language when a manager asks why a call was made — turning AI from a black box into a daily collaborator rather than a dictate-from-above tool.
