Case Study

Fairlorry: From 2–3 Day Manual Matching to Real-Time Reconciliation

India trucking platform workload: hundreds of LRs per day, mixed digital and scan quality, and billing that used to trail freight movement by 2–3 days. AIdaptIQ replaced batch reconciliation with continuous matching, instant discrepancy signals, and faster debit/credit note paths.

Last Updated: April 2026

At a glance

Client: Fairlorry Tech Solutions Pvt. Ltd.

Industry: Freight / trucking platform

Build: 4-module layer on existing TMS

Go-live window: Under 2 weeks

LR–invoice cycle

2–3 days → real-time

Batch manual matching replaced with continuous automated checks as LRs arrive

Matching effort

~80%

Reduction in time spent on routine LR-to-invoice matching (documented benchmark)

Freight leakage recovered

3–5%

Of freight revenue from late-caught weight, damage, and rate discrepancies now surfaced in-window

Deployment

<2 weeks

Four-module intelligence layer integrated with the TMS stack

Direct answer

Fairlorry used AIdaptIQ to move reconciliation from a 2–3 day manual batch to a real-time, exception-led operating model. That shift matters because leakage was structural: by the time mismatches surfaced in the old cycle, billing windows had often closed. Faster matching and POD-state automation tighten revenue integrity without adding headcount linearly with LR volume.

Before vs after

FunctionBeforeAfter
LR–invoice matching2–3 day clerk-heavy batchReal-time automated match + tolerance rules
Duplicate / resubmit riskCaught late in manual reviewInstant multi-signal scoring at ingest
Debit / credit notesManual drafting, hours per batchSystem-generated drafts from discrepancy context
Leakage discoveryAfter billing window compressionIn-window escalation on weight, damage, rate deltas

Implementation focus

  • Real-time LR and invoice matching with field-level tolerances
  • POD / LR state detection for billing eligibility
  • Damage remark capture tied to declared value lookup
  • GST-aware debit and credit note workflow support

Operator quote

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

Metrics and method links

Review benchmark definitions and evaluation methodology behind this case study.

View benchmarks