Case Study: ofi achieves 6.5% yield improvement and 25% higher throughput with Braincube

Olam Food Ingredients - Customer Case Study

ofi, a global food and beverage ingredient supplier, sought to stabilize and fine-tune a key production line to improve yield and efficiency. Their manual data collection and analysis processes were too slow and lacked the granular detail needed for significant improvement. They partnered with Braincube to implement its IIoT platform and gain a clearer picture of their manufacturing process.

Braincube built a Digital Twin of ofi's production process, which provided high-quality, contextualized data. Using Braincube's Advanced Analysis App and its CrossRank AI algorithm, ofi identified optimal operating parameters and uncovered unexpected sources of variation. This led to a 6.5% increase in yield, a 25% increase in throughput, and a sustained 100% quality score, resulting in higher customer satisfaction and significant cost savings.

Olam Food Ingredients

GK Lee

Process and Data Analytics Manager