Background
A leading company in the healthcare sector handles a high volume of purchase orders, each with more than 500 line items, received in various formats such as images, photos of printed documents, disorganized Excel files, and emails. This scenario created a need for manual processing that took nearly a full day per order, slowing operations and affecting customer response times. It was essential to find a solution that automated this process and ensured proper integration with its ERP system.
Challenges
Precision and security: It was essential to ensure that only personnel with the appropriate permissions and certifications could access operational areas, minimizing risks and complying with safety regulations.
Results
The implementation of an innovative solution that combines computer vision for reading unstructured documents and machine learning for the automatic mapping of product codes resulted in:
- Reduction in processing time: What used to take a full day now takes minutes, significantly speeding up the workflow.
- 95% process automation: Most purchase orders are processed without human intervention, ensuring efficiency and fewer errors.
- Seamless integration with the ERP: The product codes in the orders were correctly mapped to the system's SKUs, ensuring accuracy in inventory and operations.
- Improved response times: The company can now process more orders in less time, improving the customer experience and speeding up product delivery.
This project demonstrated how the strategic use of advanced technologies can transform complex, manual processes into optimized workflows, significantly improving operational efficiency.