Case Study: Sumitomo Rubber achieves manufacturing efficiency and higher product consistency with Dataiku

Sumitomo Rubber Optimizing Manufacturing With Automation & AI

Sumitomo Rubber, a global tire and rubber manufacturer, was looking to improve efficiency and product quality in a core manufacturing process by reducing manual work and increasing accuracy. Using Dataiku, the company set out to automate key calculations, eliminate anomalous data, and better determine optimal production parameters.

With Dataiku, Sumitomo Rubber streamlined reporting and data entry, integrated real-time feedback through ThingWorx, and improved process consistency. The results were strong: 80% of product sizes showed enhanced consistency, and the project delivered an estimated $75,000 to $100,000 in business value while helping teams make faster, more informed decisions.

Sumitomo Rubber

Shuichi Kaneko

Data Product Manager