Karan Sinha

Secure retail data sharing is becoming a foundation for collaboration between retailers, brands, and partners. In this session we will present how Databricks OpenSharing and Databricks Clean rooms can be used to build governed, privacy-aware data-sharing solutions that unlock transaction, customer, inventory, and performance insights for external stakeholders. Attendees will learn practical implementation patterns, clean room design principles, governance best practices, and strategies for delivering secure data products that are accessible to technical and non-technical business users. We’ll also present a Walmart Scintilla Cloud Feeds use case built on OpenSharing, demonstrating how Walmart built their direct cloud-to-cloud sharing can simplify partner access to first-party retail data, reduce operational complexity, and support faster access to insights.

Supply chain volatility is the new normal, and the old playbook of siloed forecasting, batch EDI, and reactive logistics can't keep up. The next frontier of CPG-retail performance isn't just efficiency; it's collaboration. Leading companies are replacing linear supply chains with intelligent networks that sense and respond in real time, unifying retailer POS, demand signals, and inventory data to power AI models that continuously optimize forecasting, replenishment, and risk detection. And they're doing it on a single, governed platform where shared data fuels not just dashboards and insights, but AI agents that act autonomously— triggering replenishment, reallocating inventory, and adjusting plans the moment conditions change. In this session, hear directly from the retailers and CPGs making this shift. Learn how open data sharing, AI-powered demand sensing, and joint planning on Databricks are turning adversarial transactions into growth partnerships, and why the companies that collaborate on data today will own the shelf tomorrow.