Every retailer in this room has invested in AI. Most are underwhelmed by the results.
The problem is rarely the technology. It is almost always the data underneath it — fragmented across systems, siloed by channel, arriving too late to act on. When AI draws from incomplete customer data, it doesn't just underperform. It confidently gets things wrong, at scale.
Drawing on real-world deployments, Treasure AI examines the fragmentation patterns that silently sabotage AI investment and why the brands winning with AI started with a single, trusted customer record — not the algorithm.
Practical, honest, and grounded in what is actually working in retail right now.
You'll leave with:
- A diagnostic for where data fragmentation is limiting your AI outcomes
- The three failure patterns that derail retail AI — and how to avoid them
- A framework for building the data foundation and pursuing AI use cases in parallel
Check out the incredible speaker line-up to see who will be joining Jack.
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