invoice_processing · manufacturing · workflow

Schomp Automotive Group achieves 99% automation processing 500,000+ documents annually with super.AI

Schomp processed over 500,000 pages of financial documents annually by hand, with vehicle invoices not posted until physical paper arrived — a bottleneck that delayed vehicle availability by weeks, consumed 30 minutes of manual effort per day per person, and left the group choosing between hiring more back-office staff or finding a scalable technology solution.

How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Unstructured PDF arrives
Financial documents arrive as unstructured PDFs with no automated bridge to AutomotiveLynk.
Tools used
super.AIAutomotiveLynk
Outcome

super.AI delivered 97–99% automation across 500,000+ pages annually with less than 1% error rate, doubled processing efficiency, reclaimed weeks of vehicle invoice posting time, and allowed Schomp to add several new dealerships without increasing administrative headcount.

Results
Time saved30 minutes of manual effort per day per person
Volume97%–99%
Source

https://super.ai/case-studies/schomp-automotive-group

How we source this →

Grounding & classification
Source type: vendor customer story
30 fields verified against source quotes.
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