Revenue Growth based on Machine Learning (banking business example)
“Retail is detail” is true for banking even more than for any other retail business. Precision in how and when to approach customers is important. Achieving precision at scale is possible only by automation and using adaptive algorithms.
The session will be focused on practical implementation of machine learning on the examples of revenue growth use cases in retail banking sector. We will go through examples of customer acquisition, cross sell and retention. The session will be interesting not only for banking professionals but for any retail-focused business who wants to grow their business by deepening relationship with customers.