Accounts payable · Production

North American trucking company automates 90% of ticket data extraction with Nanonets

The problem

A North American trucking company manually typed data from over 30,000 tickets per month into spreadsheets and accounting software — roughly 5 minutes per ticket — resulting in delays, errors, and unsustainable labor costs, compounded by unstructured documents with physical imperfections.

Workflow diagram · grounded in source
1
AP team uploads tickets to Dropbox
trigger
“The AP team at the client site sends tickets by County by uploading them to a folder on Dropbox. Nanonets provided an Easy Upload App for client to smoothly upload the high volume of data to Dropbox. This allowed them to avoid duplicates…”
2
AI engine processes tickets in real time
ai_action
“Nanonets AI engine automatically processes these tickets in real time and populates a csv.”
3
Verification team corrects exceptions
human_review
“Nanonets Verification Team corrects any rare exceptions, leading to 100% perfectly digitized data.”
4
Status dashboard and email alerts delivered
output
“Nanonets provided a Status Dashboard to our client with real time status updates and email alerts.”
Reported outcome

Nanonets automated 90% of ticket processing work and delivered 100% accurately extracted data into an Excel spreadsheet within 24 hours, with the verification team able to process 200 files per hour.

Reported metrics
Work automated90%
Data extraction accuracy100%
Data delivery timewithin 24 hours
Files verified per hour200 files an hour
Show all 7 reported metrics
work automated90%
data extraction accuracy100%
data delivery timewithin 24 hours
files verified per hour200 files an hour
receipt data capture timeless than a minute
manual processing time per ticket (baseline)~5 minutes per ticket
monthly ticket volumemore than 30,000 tickets each month
Reported stack
NanonetsEasy Upload AppStatus DashboardDropbox
Source
https://nanonets.com/customer-success-story/transportation-business-uses-nanonets-for-data-extraction-from-tickets
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

Nanonets automated 90% of ticket processing work and delivered 100% accurately extracted data into an Excel spreadsheet within 24 hours, with the verification team able to process 200 files per hour.

What tools did this team use?

Nanonets, Easy Upload App, Status Dashboard, Dropbox.

What results were reported?

Work automated: 90%; Data extraction accuracy: 100%; Data delivery time: within 24 hours; Files verified per hour: 200 files an hour (source-reported, not independently verified).

How is this accounts payable AI workflow structured?

AP team uploads tickets to Dropbox → AI engine processes tickets in real time → Verification team corrects exceptions → Status dashboard and email alerts delivered.

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