Case Study: European banks gain merchant insights with Emerline’s ML-based data science solution

European Banks extract merchant insights with Emerline's ML solution

The customer, a data collection service company targeting European banks, faced a challenge of insufficient data for audience attraction and customer retention. They partnered with Emerline to develop a machine learning-based data science solution that could extract and categorize valuable merchant information from payment transactions.

Emerline implemented a solution that uses ML algorithms to automatically score merchant URLs, extract valid information, recognize products, and categorize merchants based on client-provided categories. This provided the client with a powerful tool to offer banks deep insights into customer behavior and merchant relationships, thereby strengthening the client's position in the data collection service market.