Why it matters
Supply chain exception handling is a giant game of telephone: system detects issue → analyst reviews → emails supplier → waits → follows up. Each handoff adds hours. An agent that detects and acts in the same loop collapses that chain entirely.
The Problem
A multi-brand retailer managing 80,000 SKUs across 12 distribution centers was generating 200+ supply chain exceptions per week: late shipments, inventory discrepancies, demand spikes, supplier failures. A team of 6 analysts was manually triaging these, emailing suppliers, and updating the ERP system. Average resolution time was 3.2 days.
The Agent Solution
They built an exception handling agent that runs every 4 hours. The agent:
- Queries the ERP for inventory anomalies and pending exceptions
- Classifies each exception by type and urgency using historical resolution patterns
- For routine exceptions (late shipment, minor inventory discrepancy): automatically contacts the supplier via email template, logs the action in the ERP, and sets a follow-up trigger
- For complex exceptions: prepares a briefing document and routes to the appropriate analyst with recommended actions
Results
- Exceptions handled automatically: 94% (200 → 12 per week requiring human action)
- Average resolution time: 3.2 days → 6 hours
- Stockout incidents: -34%
- Analyst headcount for exception handling: 6 → 2 (4 redeployed to strategic sourcing)
- Supplier response rate to agent emails: 87% (same as human-sent emails)
The Classification Model
The routing decision was the hardest part. They trained a classification model on 18 months of historical exceptions with outcomes — which ones needed human intervention and why. The model now routes with 89% accuracy. When it's uncertain, it routes to human review with a confidence score.
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