The University is requesting sealed proposals for an automated "Scan-to-Match" invoice processing system to serve the Accounts Payables unit of the Accounting Office at the University. The system is envisioned to scan invoices and, using advanced OCR capabilities, extract key information from the invoice, such as vendor name, address, purchase order number, invoice number, item description and price, and match selected information (e.g. purchase order number) to data within the campus financial and purchasing systems to facilitate rapid payment processing to vendors.