As a Cloud Solution Architect, I’ve helped retail customers reimagine their infrastructure, shifting from rigid, cost-heavy architectures to fully serverless models powered by Cloud Run (compute) and BigQuery (data analytics). The impact? Faster go-to-market, seamless scalability, and real-time data-driven decisions without the operational burden.

In this talk, I’ll share how we built a serverless retail intelligence platform, enabling:
• Lightning-fast product analytics with BigQuery, helping stores track sales trends instantly.
• AI-powered demand forecasting running on serverless functions, reducing stockouts and improving shelf availability.
• Edge-to-cloud data pipelines using Cloud Run and Pub/Sub, seamlessly ingesting IoT and transaction data from thousands of retail stores.

But beyond the tech, the real story is about business agility—how serverless helped retailers shift from monolithic struggles to nimble, data-driven decisions, serving customers with exactly what they need, when they need it.

Join me as we explore why serverless isn’t just about cost savings—it’s about transformation, innovation, and making the impossible happen, at scale.