How I Automated Invoice Processing for a ₹2Cr/Year Business in 3 Days

Last month, a textile exporter in Surat reached out to me with a familiar problem: their accounts team of 4 people was spending 6+ hours every day manually matching invoices to purchase orders and bank statements. For a business doing ₹2 crore in annual revenue with 200+ invoices per month, this was eating into their margins badly. Here's how I automated their entire invoice processing pipeline in just 3 days using Python — and brought that 6-hour daily task down to 15 minutes of human review. The Problem: Death by Manual Data Entry Their workflow looked like this: Receive invoices via email (PDF attachments) and WhatsApp Manually type invoice details into a Google Sheet Cross-check each invoice against purchase orders in another sheet Match payments in their bank statement CSV to invoices Flag mismatches and follow up with vendors The error rate was roughly 8-12% — wrong amounts, missed invoices, duplicate entries. Each error meant hours of back-and-forth with vendors and delayed paym