Game Day at Global Scale: How PepsiCo Foods Uses AI to Feed the World Cup
Overview
| Experience | In Person |
|---|---|
| Track | Application Development |
| Industry | Retail & Consumer Goods |
| Technologies | AI/BI, Databricks Apps |
| Skill Level | Intermediate |
FIFA World Cup comes to the Bay Area this June. 70,000+ fans at Levi’s Stadium will consume millions of servings of Frito-Lay products, and millions more will be watching across North America. PepsiCo Foods doesn’t get a second chance to stock the right SKUs, in the right quantities, at the right locations. Get it wrong and you have bare shelves.
This session shows how PepsiCo Foods runs 125 million demand forecast combinations weekly on Databricks, achieving 80%+ DSD accuracy while reducing compute cost 60% after migrating from on-prem solution. We’ll demo how supply planners model what-if scenarios in real time using Databricks Apps and Lakebase, query demand drivers through Genie, and how agentic AI is beginning to automate anomalous demand detection across Sales, Marketing, Finance and Supply Chain.
You’ll learn:
- How PepsiCo runs driver-based forecasting at 125M combinations/week on Databricks
- How Lakebase and Apps enable real-time what-if scenario planning
Session Speakers
Venkata Wunnava
/Sr. Solutions Architect
Databricks
Michael Cleavinger
/VP Global Data Science and Analytics
PepsiCo