Retailer Receipt Analysis

The Retailer Receipt Analysis is a Proof of Concept (POC) that uses Optical Character Recognition (OCR), an application of artificial intelligence on a sample (no more than 1000) of FNS receipt and invoice data. Consultants will use this data to demonstrate how the existing manual process can be automated, saving staff time, ensuring accurate review, and detecting difficult patterns. The goal of this POC will pave the way for a review system that (1) has an automated workflow and learns from analyst feedback (2) can incorporate know SNAP fraud patterns, look for new patterns, and visualize alerts on these patterns on retailer invoices and receipts.