AI is reshaping Retail & CPG, but technology alone cannot replace deep industry expertise. While many have invested heavily in lakehouses and dashboards, decision-making across merchandising, supply chain, and marketing remains siloed. To win, leaders must move beyond fragmented reporting toward domain-driven data products.
Built on platforms like Databricks, these products translate raw data into “decision-ready intelligence.” Learn how to move past the “dashboard trap” to build a system of intelligence to protect margins and capture growth.
Key Takeaways:
Breaking Silos: Connecting merchandising, inventory, and retail media to see the full picture.
Human-in-the-Loop: Using AI to surface high-impact opportunities, while keeping merchant expertise at the center.
Proven Use Cases: Real-world applications in Operational Performance, Merchandising Intelligence, and Category ROI.
Stop chasing “AI projects” and start building the data foundation required for profitable, scalable innovation.
