Case Study: Logistics & Supply Partner

Autonomous Claims Processing Agent Network

We engineered a multi-agent system to automate claims validation and package reconciliation. The system coordinates specialized agents to analyze delivery bills and process claims autonomously.

Client Profile

Logistics & Supply Partner

Timeline

10 Weeks

Core Tech

Autonomous AI Agent Development, Enterprise AI Software Development

The Challenge

Manual claims verification across shipping manifests, receipts, and photos caused backlogs and high operating costs.

The Solution

We constructed an orchestrator coordinating three specialized agents: a Manifest Reader Agent, a Damage Validator Agent, and a Settlement Calculation Agent. The agents collaborate through a message queue using state limits to process files.

The Outcome

The claims validation process was automated down to minutes. Operations teams now only review flagged outlier cases, reducing backlogs without compromising verification standards.

By utilizing isolated agent environments, we built a secure reconciliation pipeline matching shipping and cargo reports.

Technical Achievements

Sub-5m
Processing Time
99.9%
Accuracy Rate

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