Our sustainability vision: Improve to sustain tomorrow

Holland Malt’s production process consumes large amounts of energy. They struggle with setting optimal oven dials to reduce energy consumption.

To solve this problem, Bright Cape created a predictive model based on historical data, that predicts the duration of the drying process. In 71% of the cases, the model accurately predicted the drying time within a 30-minute range. The model allowed Holland’s Malt to substantially set oven dials based on data-driven predictions. By controlling the production process, the energy usage can be reduced, with a potential of 1% of heat saved per batch = 539 households’ yearly energy consumption.

The introduction of the CSRD requires companies to report Scope 3 emissions, including those from their supply chains. This poses challenges in managing complex data, gathering accurate emissions information, and navigating reporting requirements. Additionally, emissions need to be included as an optimization goal in supply chain design and improvements.

Comprehensive research and industry collaboration have identified methods to measure emissions accurately and meet CSRD compliance. Expressing emission in terms of cost, a mature data landscape and company-wide commitment are key to reaching compliance and sustainability objectives and to have a more sustainable end-to-end supply chain.

Royal Swinkels developed the Swinkels Circularity Index for internal use and seeks to extend its use to help other companies enhance their circularity.​

To support other companies becoming more circular, Swinkels has asked Bright Cape for help to identify concrete steps to extend the index. To address these challenges, we assessed the competitive landscape and existing approaches by conducting client interviews and extensive desk research. Based on our findings and recommended next steps, Swinkels is now able to position the index in the market. This allows them to enable other companies to understand circular performance and identify areas for improvement.​

Hezelaer Energy faces challenges with their current solar power prediction model, lacking insights into predictor-solar power production relations and excluding local weather data. To address this, Bright Cape incorporated KNMI weather data sources into their model, leading to a 24% performance improvement. This enhanced model provides insights into key predictors like solar radiation, enabling Hezelaer to optimize asset management strategies and reduce production costs.

Curium was not able to flatten their growing transportation costs due to a complex transportation network with dependencies on many service providers, complex timings due to determined SLAs, high demand for dedicated transportation. With our solution, we realised a 20% cost reduction across the transportation network, increased network control and reduced their carbon footprint due to more efficient use of resources.