Opus team developed a automatic classifier for more than 5 million menu items of a leading internet food delivery company using machine learning.
The company’s platform has more than 50,000 establishments registered, accounting for more than 7 million deliveries every month.
Due to the company’s rapid growth, its system presented menu items categorization errors, preventing it from extracting important information on the platform use by its consumers.
The solution developed turned into the base for the creation of precise analytical models capable of, for instance, relating consumers’ preferences with their profile, age or location. The project had great strategic value for the company since the information acquired with it are used for marketing-oriented actions, user experience and operations.