I receive work orders as PDF attachments and need every one of them turned into clean, import-ready data. The job is to build a routine that: • Monitors the mailbox, downloads each PDF, and reads the document. • Captures customer information, order details, and billing amounts—nothing else—using reliable OCR or AI parsing. • Writes the results into an Excel file with the usual columns (Name, Address, City, State, Zip, Phone, Email, Order #, Line Items, Amount, Tax, Total, Invoice #). • Pairs each work order with its matching invoice so the sheet is complete and ready for QuickBooks import. Acceptance criteria: the generated Excel sheet must load into QuickBooks without extra mapping and show at least 98 % field accuracy on a 50-order test batch. Please include a simple way for me to adjust folder paths, email credentials, or schedule settings later on. Provide the working script or low-code flow, any required libraries or tool references (Python, Tesseract, OpenAI, pandas, QuickBooks API, etc.), and concise setup notes so I can keep the process running smoothly.