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United Kingdom

🇬🇧

United Kingdom

Databricks Enables Shell to Scale AI and Analytics Across 100+ Energy Projects

Shell, a global energy leader, accelerated its digital transformation and energy transition strategy by implementing Databricks as a foundational component of its enterprise AI platform.

Value Results Summary

Reduced inventory prediction model execution time from days to hours

Reduced inventory prediction model execution time from days to hours

Reduced inventory prediction model execution time from days to hours

Enabled 250+ data analysts and 800 citizen data scientists across the enterprise

Enabled 250+ data analysts and 800 citizen data scientists across the enterprise

Enabled 250+ data analysts and 800 citizen data scientists across the enterprise

Over 100 AI applications running in production

Over 100 AI applications running in production

Over 100 AI applications running in production

Executed 10,000+ inventory simulations across global facilities

Executed 10,000+ inventory simulations across global facilities

Executed 10,000+ inventory simulations across global facilities

Shell, a global leader in energy production, faced the critical challenge of scaling its data infrastructure to support its digital transformation and transition to sustainable energy solutions. With exponential growth in data volumes across operations, legacy technology constraints, and an urgent need to democratize analytics and machine learning capabilities, Shell required a unified platform to enable innovation across the enterprise. The company selected Databricks Data Intelligence Platform as a key component of its Shell.ai platform, providing 600 dedicated mathematics, computational, and data science team members with a fully managed solution to unify analytics and AI workloads across the organization.

The implementation of Databricks transformed Shell's operational efficiency and customer engagement capabilities. The platform enabled Shell to run more than 10,000 inventory simulations across its global facilities, reducing inventory prediction model execution time from days to hours—significantly improving stocking practices and delivering substantial cost savings annually. Beyond supply chain optimization, Shell leveraged Databricks to develop a recommendation engine for its loyalty program, analyzing complete customer transaction histories to deliver personalized offers to millions of customers. The platform's accessibility expanded Shell's analytical workforce to include over 250 data analysts and 800 citizen data scientists, breaking down traditional barriers between data engineering, science, and business teams.

Today, Shell operates over 100 AI applications powered by Databricks, with cross-functional teams collaborating on solutions that improve operational efficiencies and unlock differentiated customer capabilities. The unified platform has fostered agility and innovation, enabling Shell to rapidly explore and deploy data-driven solutions focused on supply chain optimization, renewable energy development, and customer engagement. As Shell continues its energy transition strategy to deliver cleaner energy solutions, Databricks serves as a foundational platform for leveraging emerging technologies such as IoT sensors and advanced manufacturing capabilities, positioning the company to reduce costs and scale innovation at a global level.

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