Managing accounts payable can be a daunting task for any freight and logistics company. For our client, a leading company in the US market, it became a critical pain point because of the heavy manual processes that affected revenue and vendor relationships.
The Accounts Payable Department faced significant challenges with manual invoice reconciliation - a process requiring the meticulous matching of invoices against purchase orders (POs) and bills of lading (BOLs). To ensure accuracy in vendor payments, employees had to do extensive cross-checking with both vendors and internal stakeholders. Manual verification took a lot of time and significantly increased the risk of errors, often resulting in late payments, duplicate payments, or overpayments to vendors.
To solve all the problems of manual invoice reconciliation, we deployed an AI Invoice Reconciliation Agent. To automate the process, our AI Agent collaborates with other specialized AI agents, each handling validation, dates, and bill of lading.
The goal was to match key information, including vendor data, items, quantities, dates, reference numbers like PO and BOL, and delivery locations, ensuring accuracy and consistency.
The new agentic automation flow resulted in a structured reconciliation package, ready for seamless integration with the customer's Transportation Management System (TMS).
To enhance integration efficiency, the customer's RPA was set to upload these packages 2x times / day, reducing manual effort, minimizing errors, and improving payment accuracy and timeliness.
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