Case Study: a large food and beverage company reduces waste and improves product consistency with Braincube

IIoT powers production improvements for Food and Bev manufacturer

A large food and beverage company was struggling with product consistency, specifically in the weight and length of its items. This led to excessive waste, which negatively impacted both their bottom line and sustainability goals. Their key challenge was to reduce raw material usage without sacrificing critical quality metrics. To address this, they partnered with Braincube to utilize its Digital Twin technology and analytics.

Braincube’s solution involved building a Digital Twin of the production process to provide clean, contextualized data. The vendor’s proprietary CrossRank AI identified the most impactful process parameters to reduce variation, while the Comparator App was used to compare best and worst production days to pinpoint key variables. This approach enabled the customer to set new operating points and establish alerts for out-of-spec parameters. As a result, Braincube helped the company significantly reduce scrap and move closer to its goals of waste reduction and optimal raw material usage.