Case Study: a leading energy company boosts flow rate and cuts costs with Braincube

Energy company saves $1 million using Braincube Smart IIoT Platform

a leading energy company, producing lubricating oil additives, faced the challenge of optimizing its highly complex and variable chemical production process. They wanted to increase yield and quality but had exhausted the gains from Lean strategies, needing a way to analyze hundreds of variables to find new optimizations. They turned to Braincube and its AI-powered Digital Twin and Advanced Analysis App to uncover influential production parameters.

Braincube built a Digital Twin of the production line, which used historical data to provide prescriptive changes. This solution enabled the energy company to identify new operating parameters, leading to a 36% increase in flow rate and $500,000 in annual savings. They also reduced raw material usage and energy consumption. Braincube empowered the team to act as citizen data scientists, rapidly implementing changes that significantly improved their process.