Case Study: Ampol achieves real-time decision-making and value chain optimization with Dataiku

Ampol Transforming Decision-Making & Value Chain Optimization

Ampol, Australia’s leading transport energy provider, was struggling with disjointed reporting and manual Excel-based workflows across its fuel value chain, which slowed financial insights and made decision-making less timely and accurate. To address this, Ampol worked with Dataiku, the Universal AI Platform, to modernize commercial analytics and automate financial reporting.

Dataiku helped Ampol replace static spreadsheets with centralized, real-time data pipelines and user-facing web apps for data validation and editing. The result was faster data preparation, improved model performance and reliability within a week, and significant gains delivered through 4-week sprints, including more accurate near real-time margin insights, better collaboration, and reduced operational risk.

Ampol

Mrig Debsarma

Data Science and Data Engineering Manager