AI Agent Automation
75% operational throughput boost
The Operational Bottleneck
Discrepancies in freight rates and shipping weights required customer service agents to manually verify invoices across three legacy system portals, causing shipping backlogs.
The AI System Architecture
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.
Technical Pipeline Summary
Stateful agent workflow on LangGraph with custom API tools and human-in-the-loop approvals for financial adjustments.
Operational Impact & Gains
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.
Operational Scope
Client Profile
Regional Freight & Logistics Operator
Validated Outcome
75% operational throughput boost
Integration Stack
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