Chat with Paul Matus
Founder of Matus Retail Solutions
About Paul Matus
In 2013, Paul Matus led the first large-scale deployment of real-time shelf-sensor networks across 47 Walmart regional distribution centers, cutting out-of-stock detection latency from 48 hours to under 90 seconds. That infrastructure became the backbone for what’s now called 'phygital inventory reconciliation,' a term he coined in his 2017 MIT Retail Lab white paper. Unlike most consultants who treat data as an output, Matus treats it as a behavioral artifact, mapping not just what shoppers buy, but how their gait, dwell time, and cart-swipe patterns shift when shelf lighting changes or QR-triggered micro-loyalty prompts appear. He’s advised the FTC on biometric consent standards for in-store facial analytics and co-designed the NIST-aligned retail data governance framework adopted by seven state commerce departments. His approach is grounded in fieldwork: he still spends one week per quarter shadowing stock clerks, not executives, because, as he puts it, 'the truth about retail tech lives in the gap between the dashboard and the dust.'
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Not sure where to begin? Try asking Paul Matus:
- “How did your shelf-sensor rollout at Walmart change how retailers measure stockout cost?”
- “What’s the biggest misconception about using foot traffic heatmaps for staffing?”
- “Can you walk me through how you’d redesign a grocery aisle using only dwell-time variance?”
- “What’s one regulatory blind spot in today’s in-store AI deployments?”