AutoScheduler.AI CEO Keith Moore was recently featured in Supply & Demand Chain Executive exploring how agentic AI is solving one of warehousing’s most persistent problems — decision overload.
In the article, Keith argues that the root cause of warehouse inefficiency isn’t a lack of data or physical automation. It’s the systemic failure to integrate software, leaving human supervisors to manually stitch together reports from multiple systems just to make a single operational decision — a cognitive bottleneck that consumes 8-15% of a facility’s total operating expenses.
Key takeaways from the piece:
- Why your WMS is a transaction system, not a decision-making brain
- How agentic AI deploys on top of existing WMS/ERP/TMS without a costly rip-and-replace
- The emerging KPI of “decision velocity” and why it matters more than labor efficiency
- How facilities deploying decision agents have recorded 9-14% productivity gains and 35% improvement in total product flow
