Case Study: Global Financial Services Provider streamlines AP processing with Gorilla Logic

Building advanced machine learning algorithms to streamline AP processes for a financial services enterprise

Gorilla Logic partnered with a Global Financial Services Provider that processes 1,500–2,500 invoices a day across five global locations. The customer was struggling with manual invoice data entry and validation errors that caused delays, costly penalties, and slower AP approvals, and needed a way to automate invoice extraction and interpretation using data and AI tools.

Gorilla Logic implemented advanced OCR and machine learning capabilities using Amazon Textract, AWS services, Snowflake, Apache Airflow, Tableau, and frameworks like TensorFlow, PyTorch, and Scikit-learn to automate extraction, validation, transformation, and reporting. The solution improved classification accuracy from 70% to 98.92%, reduced processing time from 10–12 minutes per invoice to 100–150 invoices in that same window, and cut manual labor costs by nearly $1.1 million.