How We Integrate Ledger Owl for Invoice Reconciliation
Ledger Owl is our AI partner for automated invoice reconciliation. Here's how we integrate it into your TMS, ERP, and accounting systems to auto-match thousands of invoices to orders in transport and logistics.
The three-party integration
AI-Powered Invoice Matching at Scale
Transport and logistics companies process thousands of invoices every month. Manual matching to orders is slow, error-prone, and expensive. Ledger Owl uses AI to auto-match invoices to orders, learn from your patterns, and increase productivity.
Auto-Match Invoices
AI matches incoming invoices to purchase orders, delivery dockets, and job records across your TMS and ERP—automatically.
AI Learning
The system learns from your matching patterns, supplier variations, and edge cases—getting smarter with every invoice.
Exception Handling
Unmatched invoices are flagged with suggested matches. Your team reviews exceptions, not every invoice.
Three Steps to Automated Reconciliation
We connect Ledger Owl to your existing systems. No rip-and-replace. No months-long implementation. 8 weeks to live.
Connect Data Sources
We integrate Ledger Owl with your TMS (CartonCloud, TMW, etc.), ERP (NetSuite, SAP), accounting system (Xero, MYOB), and email (for invoice capture). Secure API connections, no manual exports.
Configure Matching Rules
We set up matching logic based on your business rules: PO numbers, reference codes, supplier patterns, date ranges, tolerances. The AI learns from your historical matches.
AI Learns & Auto-Matches
Ledger Owl starts matching invoices to orders automatically. Every match (and correction) trains the AI. Match rates improve week over week. Your team handles exceptions only.
You're a logistics company processing 5,000 invoices per month
You have 3 people in accounts payable spending 60% of their time matching supplier invoices to jobs, purchase orders, and delivery dockets. They're matching reference numbers, checking tolerances, chasing missing paperwork. It's manual, slow, and error-prone.
What if 80% of those invoices matched automatically?
With Ledger Owl integrated into your TMS and accounting system:
- Invoices arrive via email and are auto-captured
- AI matches them to jobs/POs in your TMS using reference codes, amounts, dates, and learned patterns
- 4,000 of 5,000 invoices auto-match within seconds
- The remaining 1,000 exceptions are flagged with suggested matches for quick review
- Your AP team focuses on exceptions and edge cases, not repetitive matching
The result?
Your AP team goes from spending 60% of their time on matching to 15%. They focus on supplier relationships, payment optimization, and resolving real issues. Month-end close is 5 days faster.
What Transport & Logistics Companies See
These are real outcomes from integrating Ledger Owl into TMS and ERP systems.
How the Integration Works
We connect Ledger Owl to your systems using secure APIs and event-driven integrations. Here's the technical flow.
1. Invoice Capture
Sources: Email inbox, supplier portals, EDI feeds
Extraction: OCR + AI extract invoice data (supplier, amount, date, reference, line items)
Validation: Check format, required fields, duplicates
2. Match to Orders/Jobs
Data sources: TMS jobs, ERP purchase orders, delivery dockets
Matching logic: PO numbers, reference codes, supplier ID, amount tolerance, date range
AI learning: Learns from historical matches and user corrections
3. Auto-Approve or Flag
High confidence: Auto-matched invoices flow to accounting system for payment
Low confidence: Flagged for review with suggested matches
No match: Exception queue with full context
4. Sync to Accounting
Integration: Push matched invoices to Xero, MYOB, NetSuite, SAP
Coding: Auto-code to correct GL accounts, cost centers, jobs
Audit trail: Full lineage from invoice capture to payment
Ready to automate invoice reconciliation?
We'll assess your current process, map your TMS/ERP data, and show you what's possible with Ledger Owl. 30-minute briefing, no commitment.
Book Your Briefing →