Invoice processing · Production

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

The problem

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.

Workflow diagram · grounded in source
1
Unstructured PDF arrives
trigger
“Financial documents arrived as unstructured PDFs with no automated bridge to AutomotiveLynk.”
2
AI data extraction
ai_action
“Automated Document Capture: High-fidelity data extraction from 500,000+ pages annually with a focus on turning paper into data.”
3
Accuracy validation
validation
“With less than 1% of documents requiring a support ticket, the financial data entering Schomp's systems is more reliable than ever.”
4
AutomotiveLynk integration
integration
“AutomotiveLynk Connectivity: A direct API connection that bolts onto Schomp's proprietary internal framework, ensuring it is relatable to any internal or 3rd party system of record.”
5
Vehicle invoice posted
output
“Vehicle invoices are now posted systems-wide weeks ahead of their previous manual schedule.”
Reported 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.

Reported metrics
Automation level97%–99%
Error rate<1%
Processing efficiency100% faster
Annual pages processed500,000+
Show all 7 reported metrics
automation level97%–99%
error rate<1%
processing efficiency100% faster
annual pages processed500,000+
manual task time eliminated per person per day30 minutes of manual effort per day per person
vehicle invoice posting lead timeweeks ahead of previous manual schedule
headcount to support new dealershipszero increase in administrative staff
Reported stack
super.AIAutomotiveLynk
Source
https://super.ai/case-studies/schomp-automotive-group
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

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 d…

What tools did this team use?

super.AI, AutomotiveLynk.

What results were reported?

Automation level: 97%–99%; Error rate: <1%; Processing efficiency: 100% faster; Annual pages processed: 500,000+ (source-reported, not independently verified).

How is this invoice processing AI workflow structured?

Unstructured PDF arrives → AI data extraction → Accuracy validation → AutomotiveLynk integration → Vehicle invoice posted.

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