Case Study: a financial services company achieves 99%+ merchant name disambiguation with super.AI

Disambiguating Unclear Merchant Names

Financial Services Company, one of the world's largest payment networks, struggled to resolve unclear merchant names from billing descriptions due to the immense scale and constant change of its transaction data. This challenge was compounded by errors, varied formats, and third-party payment solutions that obscured information. They partnered with super.AI and its unified AI platform for unstructured data processing to automate the disambiguation process.

super.AI implemented a no-code AI solution that rapidly classified billing descriptors. The results were highly successful, achieving over 99% data accuracy and 99.7% process automation. The solution was also incredibly scalable, processing up to 8.3 million records per hour, which gave the financial services company the ability to precisely map millions of merchants with zero coding required.