Case Study: a large UK retail bank improves customer experience and reduces costs with Warwick Analytics PrediCX

PrediCX™ helps financial services provider improve customer experience and lower costs

A large UK retail bank sought to innovate its handling of customer queries across channels like call centers. Their challenge was to use machine learning to streamline interactions and improve the customer experience, but they found existing text analytics tools were too manually intensive and failed to accurately identify key themes. They also needed a self-serve analytics tool that could be deployed on their infrastructure for various text data sets and ultimately improve their Next Best Action engine.

The bank implemented PrediCX™ from Warwick Analytics. This predictive analytics engine uses Optimized Learning to drastically reduce the human effort required to build and validate accurate models, enabling business users to manage projects themselves. The results included improved customer experience and significant operational cost savings, with the Head of Customer Services reporting they could now operate smarter by focusing on the most relevant actions to drive customer satisfaction.