ManufacturingConstruction Equipment

From 10 minutes per invoice to under 1 minute.

The spare parts team at a leading global manufacturer of construction equipment was spending a full working day on manual data entry. UniDocs AI ended that.

Location
India
Use case
Invoice extraction + PO matching
The Challenge

80 to 100 invoices a day. Every one of them different.

The spare parts operations team at this manufacturer's plant in India manages inward processing for all spare parts used in production. Between 80 and 100 vendor invoices arrive every day, and no two look the same.

Local suppliers send scanned documents in their own formats. Import shipments carry additional customs fields. Internal plant transfers arrive as interplant documents with a different structure altogether. On top of the format variation, invoices regularly arrive without a PO number, with an incorrect reference, as partial deliveries, or as duplicates of invoices already received.

Each invoice required a team member to manually open it, extract the data, cross-check it against the ERP system, resolve discrepancies, and pass a formatted output to the next team. That took around 10 minutes per invoice, the equivalent of a full working day on data entry alone, before any exceptions were even looked at.

  • Matched: PO found, line items and financials align. Output generated automatically.
  • Partial match: Some items match, others don't. Discrepancies surfaced for human review.
  • No PO number: Invoice arrives without a reference. The system recommends up to 3 likely matching POs.
  • Wrong PO: A number is present but no meaningful match on items or financials. Flagged for resolution.
  • Duplicate: Already processed against this PO. Detected and suppressed before reaching downstream teams.
The Result
10x
Faster per invoice
10 minutes reduced to under 1 minute
99%+
Extraction accuracy
Across all three invoice types
0
Failures in first batch
53 of 53 invoices, no errors
The Solution

One automated pipeline. Every invoice type. Every match scenario.

UniDocs AI was configured to handle all three invoice types this manufacturer receives, applying the correct extraction logic and field mapping for each. All three flow through the same pipeline. No manual routing. No separate tools.

The operations team drops invoice files into a designated folder at the start of each processing window. UniDocs AI picks them up on a schedule, processes every file, and delivers a structured Excel report to the downstream team by email. Only exceptions reach a person. Routine, clean invoices flow through without any manual involvement.

POC to live production in under 10 weeks.

Feb 2026
POC completed and signed off. Invoice extraction, PO matching, and automated delivery all validated with live documents.
Mar 2026
Full requirements gathered with the operations team. Invoice types, match scenarios, input and output formats locked.
Apr 2026
System deployed on AWS. Automated batch pipeline live. First production invoices processed.
Ongoing
Live in production. Processing 80 to 100 invoices per day. ERP integration (Phase 2) underway.
How we customized it for this client

A no-touch workflow for a non-technical team.

This manufacturer's end users needed invoice data processed and pushed to their database, but never wanted to open the UniDocs AI application directly. Here's the automation layer Uniware built to make that possible.

Three-step process: drop the file, automation takes over, data lands in place

Zero manual steps for the end user. The customisation removed the adoption barrier entirely and fit the solution to how their team already works, not the other way round.

Automated Invoice Processing Workflow diagram

See what UniDocs AI can do for your team.

Book a 30-minute call with our team. Bring your documents. We'll show you what the system does with them.