accounts_payable · logistics · workflow

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

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.

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 · AP team uploads tickets to Dropbox
The AP team uploads tickets by County to a folder on Dropbox using Nanonets's Easy Upload App.
Tools used
NanonetsEasy Upload AppStatus DashboardDropbox · partner
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.

Results
Time savedwithin 24 hours
Volume90%
Source

https://nanonets.com/customer-success-story/transportation-business-uses-nanonets-for-data-extraction-from-tickets

How we source this →

Grounding & classification
Source type: vendor customer story
32 fields verified against source quotes.
data extractiondocument aiinvoicereceipthuman review describedmetric backedproduction runtime claimedsource backedtools describedworkflow describedlogisticsaccuracy improvementautomation ratethroughput increasetime savedvendor customer storyaccounts payabledata entry opslogistics opsdocument to recordhuman review queue