Problem:
A mid-sized manufacturing company spent significant time manually processing invoices, leading to delays in payments and increased operational costs.
Solution:
Using Python and libraries such as pandas and openpyxl, we developed an RPA solution to automate the invoice processing workflow. The solution extracts invoice data from emails, validates it against existing records, and inputs it into the company’s accounting system.
Results:
The automation reduced the invoice processing time by 70%, decreased human error by 90%, and allowed the finance team to focus on more strategic tasks. The company reported savings of $50,000 annually due to increased efficiency.
