Case Study: Cargill speeds boiler analysis and boosts recipe production with Braincube

Cargill’s analysis 50% faster with Braincube’s CrossRank AI

Cargill, a major agricultural and industrial company, sought to significantly improve the efficiency of its oil boiler operation. Their internal efforts to reduce operating costs while maintaining steam output were unsuccessful, as their high volume of data made it impossible to identify the optimal operating parameters. To tackle this challenge, they partnered with Braincube.

Braincube built a digital twin of the boiler process and utilized its CrossRank AI analysis to uncover the crucial parameters for optimal performance. This enabled Cargill to make data-driven adjustments to their recipes without wasting physical resources. The solution led to substantial cost savings on boiler operations and a 400% increase in weekly recipe production. Furthermore, data analysis with Braincube was completed 50% faster than with their previous methods.

Cargill

Herber Souza

Refinery Process Engineer