Intelligent Process Automation in ERP Back-Office — 65% Fewer Manual Touches for a Logistics Operator

• −65% — Manual back-office touches
• 89% — Invoice-to-order match rate (automated)
• 6 min → 45 sec — Order entry time
• −70% within 8 weeks — Exception backlog

The problem

The operator ran a well-established ERP for freight orders, billing and depot inventory, but the back-office team still re-keyed order details from customer emails and PDFs, manually matched carrier invoices against orders, and chased exceptions (mismatched weights, missing PODs, rate discrepancies) across spreadsheets. The ERP itself worked fine — the surrounding manual work did not scale with volume, and a full ERP replacement was neither wanted nor necessary.

What Visual-AI-Labs built

Visual-AI-Labs layered an intelligent process automation (IPA) system on top of the existing ERP across two 30-day cycles, rather than replacing it. Cycle 1 shipped document extraction (order emails, rate confirmations, PODs, carrier invoices) writing directly into the ERP via its API, plus automated invoice-to-order matching with confidence scoring. Cycle 2 added an exception-handling queue that groups mismatches by root cause, suggests a resolution, and routes anything ambiguous to the right back-office specialist — instead of a shared, un-triaged spreadsheet.

• Document extraction (email, PDF, scanned POD) writing directly into the existing ERP via API
• Automated invoice-to-order matching with per-match confidence scoring
• Exception queue grouped by root cause with a suggested resolution
• No ERP replacement — the automation layer sits alongside the current system
• Weekly ops dashboard: touches automated, exception volume, matching accuracy

Results

Manual back-office touches fell 65% within the first two months post-launch. 89% of carrier invoices are now matched to their orders automatically, up from a mostly manual process. Order entry time dropped from roughly 6 minutes to 45 seconds per order, and the exception backlog — previously growing week over week — was cut by 70% within 8 weeks as the routing and root-cause grouping took hold.

Tech & process

Visual-AI-Labs ran two successive 30-day cycles with weekly demos against a shadow environment before any write path went live. The extraction and matching logic runs independently of the ERP’s core, calling its existing API — so the operator keeps full control of its system of record while gaining an automation layer that can be extended (or unplugged) without disrupting daily operations.

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