Case Study: Shell accelerates energy innovation and operational efficiency with Databricks

A Databricks Case Study

Preview of the Shell Case Study

Shell runs 10,000+ inventory simulations in hours with Databricks

Shell, a global energy company, needed to scale its data infrastructure to leverage AI and analytics across its operations amid the energy transition. Challenges included legacy systems, exponential data growth, and a skills gap. Shell chose the Databricks Data Intelligence Platform as a foundational component of its Shell.ai platform to unify data, analytics, and AI workloads.

Databricks provided a scalable, managed platform that democratized data access and fostered collaboration. This enabled Shell to run thousands of inventory simulations, improving prediction models from days to hours and generating significant annual savings. It also powered a customer loyalty recommendation engine. With over 100 AI projects running, Databricks is central to Shell's data-driven culture and operational efficiency gains.


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