vincenzojrs / nttdata

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NTTDATA

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:

https://www.canva.com/design/DAFAICB60es/N3NUSnO9ZyYmhhJH-cGO6Q/view?utm_content=DAFAICB60es&utm_campaign=designshare&utm_medium=link&utm_source=publishsharelink