Case Study: STERIS achieves 97%+ accurate sterilisation dosage prediction with Audacia's ML solution

STERIS boosts sterilisation accuracy to 97%+ with Audacia

STERIS, a leading global provider of infection prevention products and services, sought to optimize its operational processes by accurately predicting ideal sterilisation dosage ranges for its products. The company partnered with the software development firm Audacia to build a machine learning application capable of forecasting outputs based on key parameters like product density and processing speed.

Audacia developed a solution using a linear regression model, trained on 15 years of historical data, to predict the required sterilisation level. The application, which integrates with existing systems, achieves over 97% accuracy in forecasting optimal dosage ranges. This has provided STERIS with data-driven insights to enhance quality control and maximize productivity in processing thousands of products weekly.

Steris