Machine learning company ML6 collaborated with Accolade Wines to reduce waste in their bottling operations by using Grafana to create a real-time monitoring dashboard. Accolade Wines, one of the largest wine producers globally, faced challenges in pinpointing inefficiencies due to disparate monitoring systems from different equipment manufacturers. By integrating data from various stages of the bottling process and visualizing it through Grafana, ML6 enabled operators to identify and address wine losses immediately, resulting in a 200% ROI within six months and reducing financial losses by £75,000. The project has not only improved operational efficiency but also laid the groundwork for future advancements using machine learning to detect previously unknown sources of loss, with plans to replicate this solution for other manufacturers and explore applications in the life sciences sector amid the COVID-19 pandemic.