An end-to-end AI workflow that automatically audits courier invoices (e.g., FedEx), identifies overcharges, and autonomously files damage or lost item claims to recover lost revenue for e-commerce operations.
Processing shipping disputes—specifically identifying courier overcharges and filing lost or damaged item claims—is a highly manual, time-consuming bottleneck for e-commerce brands. Due to strict courier filing deadlines and the sheer volume of daily shipments, businesses often lack the operational bandwidth to cross-reference every invoice against actual shipping data. This manual data entry and spreadsheet management leads to missed filing windows, high error rates, and significant unrecovered revenue directly impacting the bottom line.
Engineered an automated dispute resolution and auditing system. The workflow continuously monitors courier billing data and e-commerce order statuses. When a delivery exception, lost package, or invoice discrepancy is detected, the workflow is triggered. An AI agent is utilized to extract the relevant order details, structure the data according to specific courier claim requirements, and generate the necessary documentation. Utilizing Zapier, the system then automatically submits the refund request or claim directly to the courier, transforming a reactive manual chore into a proactive, "business-first" revenue recovery engine.
Achieved a near 100% filing rate for eligible shipping disputes by eliminating human delay and error. The system successfully reclaimed lost revenue from overcharges and damaged goods that previously fell through the cracks due to operational constraints. By fully automating the data extraction and filing process, it freed up significant bandwidth, allowing the team to shift focus from tedious data entry to high-level financial strategy and e-commerce growth.