Altimet AI
Case Study Detail

AI Agent Automation

75% operational throughput boost

The Challenge

Discrepancies in freight rates and shipping weights required customer service agents to manually verify invoices across three legacy system portals, causing shipping backlogs.

The Altimet AI Solution

We designed an autonomous multi-agent system on LangGraph. The system monitors incoming email disputes, extracts invoice IDs, fetches records from legacy portals, analyzes variances, and drafts response resolutions for customer service review.

System Architecture

Stateful agent workflow on LangGraph with custom API tools and human-in-the-loop approvals for financial adjustments.

Measurable Impact

Average invoice dispute resolution time reduced from 2 hours to under 2 minutes.

75% increase in operational throughput without increasing headcount.

92% of disputes resolved autonomously without human intervention.

Client Profile

Enterprise Entity

Zenith Logistics

Target Outcome

75% operational throughput boost

Integration Stack

LangGraph Python GPT-4o Redis Celery PostgreSQL

Ready to Implement Production-Grade AI?

Schedule a technical discovery session with our engineering team to review model schemas, latency specs, and VPC safety deployment strategies.