Intelligent 4-way invoice matching

The solutions work by ingesting and processing documents from multiple sources, including SAP systems and external document repositories. Using advanced OCR and natural language processing techniques, it can parse handwritten, multi-lingual, and scanned documents with high accuracy. The parsed documents are then stored in a vector database for efficient semantic search, allowing for quick retrieval and comparison of relevant information.

At the heart of the solution is an AI-powered analysis engine that leverages Amazon Bedrock for access to high performing foundation models. This engine performs four key tasks: structuring data in JSON format, validating format and structure, examining computational precision, and comparing data across documents. The system also uses Amazon Q Business with Retrieval-Augmented Generation (RAG) to match contracts with Purchase Orders and Invoices ensuring compliance and accuracy. Minimizing contract leakages by providing insight to and workflows to recover from vendors.

Any discrepancies or failed matches are automatically flagged and routed to customer support or accounts payable officers for further processing. The entire solution seamlessly integrates with SAP systems by utilising the AWS SDK for SAP ABAP, allowing for real-time updates and synchronisation of data.