The Business Challenge
The business situation the organisation faced before the project began.
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.
How the Solution Was Delivered
Discovery, design, development, testing and rollout — the journey, not the tooling.
- 1Audited historical freight invoices to identify primary revenue leakage points (overcharges vs. lost goods).
- 2Mapped the exact API and documentation requirements for automated courier claim submissions.
- 3Developed a Zapier workflow to trigger automatically upon order status exceptions or invoice mismatches.
- 4Integrated an AI agent to parse complex logistics data and draft highly accurate, compliant refund requests.
- 5Executed a sandbox phase to test AI accuracy and formatting before rolling out live, fully automated submissions.
Business Outcomes & Impact
The measurable outcomes from the underlying AI Deployment — with the story behind them.
The story behind the numbers
The system transformed a heavy operational burden into a proactive, margin-protecting engine. By completely eliminating manual data entry, human error, and processing delays, we achieved a near 100% on-time filing rate within strict courier dispute windows. This automation directly recovered $350,000 USD in previously lost revenue and freed up the operations team to focus on strategic growth rather than spreadsheet management.
Lessons Learned
What surprised the team, what worked well, and what would be done differently.
- High-volume dispute resolution is a data-structuring problem, not just a customer service issue.
- Combining foundational financial discipline with Zapier automation yields immediate, massive ROI.
- API limits and courier rate-limiting must be carefully mapped when scaling autonomous agent tasks.