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Driving ROI with Automated Purchase Order Processing via OCR
Client Profile
Serving a large consumer base in several locations, our client is a well-known retail firm known for its vast range of products and strong supplier network. The business, which is known for its operational competence, had a hard time growing its manual system for processing purchase orders. The absence of automation was producing mistakes that affected supplier relationships, slowing down procurement, and raising operating expenses. The client set out to automate their purchase order processing using an intelligent OCR technology in order to increase ROI and expedite procurement processes.
Challenges
Employees of the client were manually entering information from purchase orders that were sent by email or paper into their ERP system, which was a laborious and prone to mistakes procedure. Order inconsistencies, delayed delivery, and payment problems were often caused by errors in quantities, price, and supplier information. Additionally, processing purchase orders by hand required a large workforce, which raised operating expenses. Additionally, it was challenging to efficiently manage inventory levels and ensure seamless supplier cooperation in the lack of real-time visibility into purchase order status.
Solutions
Our AI-powered OCR SDK, Percepta, was put into use to completely automate the client's purchase order processing procedure to solve these inefficiencies. To automatically extract important data from incoming purchase orders, regardless of format, and to instantly update procurement and inventory records, Percepta was directly linked with the client's ERP system. Real-time visibility into purchase order status was also made possible by Percepta's smooth edge-capable interface, giving the customer the ability to improve supplier performance, manage inventories more effectively, and make quicker choices. Percepta made the company's purchasing order processing a quick, dependable, and scalable operation with smart automation and minimal interference with current systems.
Results
The company saw a dramatic reduction in processing errors, leading to fewer discrepancies and faster payment cycles. Operational costs dropped as the need for manual oversight declined. Real-time updates to procurement systems enabled better inventory planning and improved collaboration with suppliers. Most importantly, the automation delivered measurable ROI through faster turnaround times, reduced resource dependency, and improved supplier satisfaction.