
For freight and logistics companies, fleet maintenance is a major operational cost. Assets undergo frequent repairs, and many of these could be recovered under warranty, if identified and processed in time.
Our client, a leading US logistics company, needed a way to:
Without an automated system, the company missed out on significant cost recovery opportunities, leading to unnecessary repair expenses and reduced operational efficiency.
To help the client recover costs and optimize their fleet maintenance, Nordoon deployed an AI-powered Warranty Claim Optimization solution using AI Agents that act like subject matter experts and automate warranty data processing with great efficiency and accuracy.
AI Agents didn’t just extract data. Using advanced Large Language Models (LLMs), they retrieved and structured repair records from invoices, service logs, and internal maintenance reports, ensuring accuracy. They analyzed repair histories, identified patterns, and determined whether repairs met claim eligibility criteria or not.
Multiple AI Agents worked together to cross-reference each repair’s date, mileage, parts replaced, and service type against OEM warranty terms, flagging claimable repairs. Fleet maintenance teams reviewed AI-generated recommendations, supervised final claim approvals, and managed exceptions only when human intervention was needed.
Once validated, AI Agents automatically pre-filled claim forms, ensuring all required documentation was structured and ready for submission to OEMs. AI Agents also packaged approved claims and cost-recovery data into structured meta-data for automated ERP updates, providing real-time financial insights.
Our AI-driven automation eliminated time consuming manual work and unnecessary vendor communication, allowing the team to handle high claim volumes efficiently.
Recovered $1 million in previously unclaimed warranty reimbursements. Optimized maintenance expenses by identifying eligible repair costs that had previously gone unnoticed due to manual inefficiencies.
Claims were processed with precision, backed by verified records, increasing the number of approved claims by OEMs.
Our solution reduced processing time by 80%, enabling consistent, automated claim filling across multiple OEMs.