In March 2022, NTT DATA challenged the class with a business game to solve using Machine Learning. We’re going to dive in our models and the reasons which have driven our algorithmic choices. The client is the CMO of an e-commerce which aggregates smaller independent sellers operating in Spain. We acted like a consulting team for NTT to build machine learning models to increase the performances and profits, leveraging three key activities:
- Customers’ clustering: segmenting customers based on similar features to create ad hoc marketing strategies.
- Recommendation System: algorithms to predict which are the products each user can be interested in purchasing.
- Delivery Time Analysis: to predict an accurate date of delivery for customers and getting insights on the drivers which influence the shipping time.
Realized by:
- Amadori M. - ML Specialist
- Caccavale F. - ML Specialist
- Gioia M. - Business Specialist
- Imperatore C. - Consultant
- Striano V. J. - Team Leader
link to presentation: