The AI in Business Podcast Improving Warehouse Efficiency with Unified Data and AI-Driven Visibility - with Dan Keto of Easy Metrics
32 snips
Feb 19, 2026 Dan Keto, President and Co-Founder of Easy Metrics, builds cloud tools that unify warehouse operational, labor, and financial data. He discusses fixing fragmented data to get real-time visibility. He covers why a conditioned data foundation should come before AI. He explains investigations, alerts, and ways to align stakeholders around a common data language.
AI Snips
Chapters
Transcript
Episode notes
More Data, Less Visibility
- Warehouses now have more data but less actionable visibility due to fragmented systems.
- Unified transactional data is required to stop constant crisis management and meet high customer service expectations.
Amazon Example Of Extreme Velocity
- Dan describes living near an Amazon distribution center delivering under 30 minutes as an example of extreme operational velocity.
- He uses that example to show customer expectations driving higher warehouse performance demands.
Align Stakeholders First
- Align stakeholders to a common data taxonomy before building analytics or AI.
- Condition and unify data into a single pane of glass so later AI models run reliably and affordably.