Case Study

Fairlorry: From 2-Day Manual Matching to Real-Time Reconciliation

Fairlorry needed faster LR-to-invoice matching, clearer POD state tracking, and tighter discrepancy handling across high-volume freight workflows.

Last Updated: April 2026

At a glance

Industry: Freight logistics

Core task: LR-to-invoice reconciliation

Previous cycle: 2-3 days

New model: Real-time exception-led flow

Reconciliation cycle

2-3 days to realtime

Shifted from delayed batches to continuous checks

POD state tracking

Automated

Consistent state visibility across dispatch flow

Leakage control

Faster

Earlier mismatch detection and escalation

Exception handling

Prioritized

Teams focus only on high-impact exceptions

Direct Answer

Fairlorry used AIdaptIQ to transition from delayed manual reconciliation to real-time, exception-led operations. Automated LR matching, POD state detection, and discrepancy routing improved billing control and reduced the cost of late leakage discovery.

Implementation Focus

Real-time LR and invoice matching
Automated POD state detection and tracking
Faster damage remark to claim quantification
Debit/credit note generation workflow support

Outcome Snapshot

Reconciliation moved from 2-3 day manual cycles toward real-time exception-led processing, improving billing integrity and response speed.

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