Procurement teams at TE Connectivity currently process supplier quotes through a manual workflow that requires extracting information from documents and entering it into SAP systems. Quotes arrive in various formats, including digital PDFs and scanned images containing text and tables. Procurement staff must manually review these documents, identify key transaction details, input the data into SAP forms, and draft supplier emails. This repetitive process is time-consuming, prone to human error, and provides limited visibility into purchase order status. This project aims to develop an AI-driven automation system to streamline the procurement workflow. The solution will use Optical Character Recognition (OCR) and natural language processing to read supplier quotes and extract important order information such as pricing, quantities, supplier details, and shipping terms. The extracted data will then be structured and mapped to SAP form fields to simplify purchase order creation. If documents are in non-English languages, automated translation will be applied. The system will also leverage a large language model (LLM) to automatically generate procurement emails using predefined templates. By automating document analysis, email drafting, and data entry, the project will reduce manual workload, improve accuracy, and enhance procurement efficiency while maintaining human review and oversight.