From Stock Optimization to Digital Vehicle Twin with VW
summary
Volkswagen uses Databricks on AWS to turn stock planning into a digital vehicle twin by merging roughly ten data sources into a single data product, exposing demand forecasts and producibility constraints. The solution is live in 10 markets for five volume brands plus Audi, shows higher average sales price and shorter stock times in some markets, and reduces working capital and long‑stay discounts. The project migrated from Azure to AWS with minimal friction and leverages Databricks Unity catalog and kibbra for faster data product assembly.
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chapters (8)
- 0:00Introduction and context
- 1:47Intelligent stock planning project
- 3:56Project results and impact
- 6:00Next phase digital twin
- 7:47Learnings and project management
- 9:34Automotive complexity and cash cycles
- 10:37DataBricks on AWS advantages
- 14:57Business adoption and feedback
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