The Opus team used machine learning to develop an automatic classifier for more than 5 million menu items of a leading internet food delivery company.
The company’s platform has the products of more than 50,000 establishments registered, accounting for more than 7 million deliveries every month to those buying their meals online.
Due to the company’s rapid growth, the system was presenting menu item categorization errors, preventing it from extracting important consumer information from the platform.
The solution developed turned into the base for the creation of precise analytical models capable of things like relating consumers’ preferences with their profile, age or location. The project had great strategic value for the company as the information acquired could be used for marketing-oriented actions, user experience and operations.