Why Governance, Security and Skills Gaps Stall AI in Retail

Turbotic's flagship B2B research into enterprise AI adoption revealed why so many AI pilots stall before they ever reach production. In this session, we tailor those findings specifically for retail — a sector where fragmented legacy systems, disconnected customer and transaction data, and multi-channel complexity make scaling AI particularly difficult.

We'll look at what's really behind stalled AI pilots in retail: governance gaps, integration challenges, and the skills needed to move from experimentation to operational, measurable AI. The session may also touch on how retailers can better use customer and transaction data within their AI frameworks, where AI can meaningfully support marketing and customer service without losing fit for purpose, and where we see the biggest opportunities for improved management visibility across stores, channels, and functions.

Retail leaders will leave with a practical, grounded view of what it actually takes to move an AI pilot from a single store or channel to a governed, scalable part of the wider retail operation.