In the context of physical-digital convergence, Machine Learning offers significant opportunities to study customer behavior and deepen its tastes and choices.

This means that we can re-engineer omnichannel Customer Experience, based on the precise needs of each customer, moving towards a totally one-to-one approach, with the aim of maximizing the value of each customer.

During this speech, an incremental path will be presented in which the use of increasing complexity algorithms, based on wide and accurate data sources, makes it possible to improve the online experience and to optimize the performance of the physical channel.