The Bank is convinced that a modern approach based on larger segmentation and deeper personalization is possible thanks to their large data set of customers’ characteristics and historical purchases. Probably, this information hide purchase patterns that could be used to predict behaviours and anticipate potential sales.
The Bank contact Terminus7 to evaluate potential approaches to exploit this information through advanced Machine Learning techniques.
We train the T7 machine with customers characteristics and past purchase patterns. We expect that similar companies with similar past purchase patterns would have the same financial needs. Therefore, we can recommend products based on these similarities. This is a typical e-commerce personalization approach close to Collaborative Filtering techniques.