LIA
LIA detects, diagnoses, and resolves logistics exceptions autonomously — escalating to humans only when confidence thresholds require it.
The Problem
By the time a human notices a problem, the delivery window has failed, the customer has called, and the cost has been incurred.
A few experienced operators handle most exceptions. When they're unavailable, issues pile up and SLAs fail.
The same exceptions repeat across shifts, depots, and regions because there's no systematic way to capture and apply resolution patterns.
From firefighting → to autonomous incident management.
The Solution
LIA manages the complete incident lifecycle — from detection through diagnosis to resolution — with full transparency and human-in-the-loop governance.
Real-time monitoring across all operations with ML-powered anomaly detection. Incidents identified minutes before they become visible in dashboards.
LIA analyses incident context, historical patterns, and resolution playbooks to diagnose root cause and recommend actions automatically.
Three-tier confidence scoring: low-risk auto-executes, medium-risk recommends with evidence for human approval, high-risk escalates immediately. 500+ simulated conversations tested before each deployment.
POWERED BY AGENTFLEET
LIA works alongside Atlas, Clara, Astra, and Nexa — detecting incidents and delegating resolution actions to the appropriate agent. Clara is a voice-first agent that handles customer rescue via WhatsApp and voice calls when incidents impact deliveries.
Learn about AgentFleet →Proven Results
FAQ
LIA handles delivery exceptions, SLA breaches, driver delays, route deviations, sorting errors, carrier performance issues, and any custom exception types you configure.
LIA operates with configurable confidence thresholds. When an incident requires a decision beyond its confidence level, it escalates to the appropriate human with full diagnosis context and recommended actions.
Yes. LIA continuously learns from resolution patterns — both automated and human-guided — to improve detection accuracy, diagnosis quality, and resolution speed over time.
Yes. You can define custom resolution workflows for each incident type, including escalation paths, automated actions, notification rules, and approval requirements.
Live demo showing autonomous incident detection and resolution.