Automated Document Processing
Built a system that extracts data from various document formats, processes the information, and integrates it with the client's ERP system.
Challenge
The client's accounting team was spending hours manually entering data from invoices, purchase orders, and other documents into their ERP system. This process was time-consuming, error-prone, and created a bottleneck in their financial operations.
Solution
I developed an automated document processing system that uses OCR and AI to extract information from various document formats. The system validates the extracted data, transforms it into the required format, and integrates it with the client's ERP system. It also provides an audit trail and exception handling for documents that require manual review.
Implementation
The implementation involved developing OCR capabilities using Python and TensorFlow, creating data validation and transformation logic, and building an integration with the client's ERP system. The solution was containerized using Docker for easy deployment and scaling.
Results
"The document processing system has been a game-changer for our accounting department. What used to take days now happens in minutes, with better accuracy. Our team can now focus on analysis instead of data entry."
David Wilson
CFO, Manufacturing Corp.
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