A US-based analytics company approached Cygnet for a solution that would help reduce food wastage at sports and entertainment events. Cygnet used AI & Microsoft BI to build a solution that helps predict food requirement, and developed a bidirectional mobile app for real time updates to the solution.
Customer Size: Large
Solution: Microsoft BI
The client is a leading analytics company that sells point of sale solutions to the catering and events industry in the USA.
A leading analytics company, offering Point-of-Sale solution to food & catering industry, approached us with a complex problem that was causing huge losses to its clients:
During the discovery phase, our solution experts analyzed the food counter business model to gain a deeper insight into the processes. We realized that the historical analysis of food consumption and the consumption trends in previous games can help predict food requirements up to a certain level.
Based on our findings, as a part of the POC, we built a predictive solution for a limited number of food counter outlets. In order to build a robust and rapid solution, we
Our solution automated decisions, supplied insightful data for sharper manual decisions making, and improved the efficiency of logistics and operations. Today, the solution is used at a much wider network of food counters, and its predictions have slashed food wastage by more than 80%.
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