Customer: One of the world’s largest corporate food catering company
One of the world’s largest corporate food catering company wanted to understand
their customer behavior including their food ordering trends. This will help them
discontinue less popular foods and combos, eventually helping them increase
customer satisfaction and profit margins.
The POS data from their catering sites were pushed to a central Data Warehouse.
The data is then processed by machine learning-powered prediction engine to
predict several important business parameters including plate consumption, top
combo foods, inventory prediction, etc.
Azure Machine Learning, Python, SQL Server, PowerBI.