Automatically extracting values from financial tables and notes and mapping to custom taxonomy
A large American financial services & rating agency had to Process ~200 thousand annual reports of banks
Around 2 million pages in 10+ languages and in multiple reporting formats & styles
High variations in the descriptions and line items that need to be mapped to a single taxonomy
Data normalization and transformations are needed post extraction, 100+ trained analysts performing manual tagging
Quality is critical as it powers some important financial models
Leveraging the pre-trained table understanding and financial statement understanding models to deliver the first version of the solution within days.
Trained the client’s SMEs on Botminds AI platform. SMEs used point & click interfaces from day 1 to improve the accuracies.
Upstream and downstream custom integrations made to make Botminds AI to work seamlessly with client's current workflow
Learn how Botminds Intelligent Document Process can drive ROI, reduce costs, and save time for your business.