data_entry_ops · saas · workflow

Nanonets OCR automates Spanish receipt processing for Advantage Marketing Group across Latin America

Advantage Marketing Group was manually processing 100,000 receipts per month with 60 data keyers, spending 2–3 days preparing documents, while existing data extraction technology could not handle low-resolution or differently oriented receipt images.

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 · Receipts arrive from multiple sources
Receipts arriving from multiple sources, including faxed and low-resolution images, initiate the digitization workflow.
Tools used
NanonetsOCR modeldocker api
Outcome

Within 7 days, Nanonets delivered an OCR model for Spanish receipts; Advantage Marketing integrated the API with their marketing platform and demonstrated the solution to a larger client base.

Results
Time saved20,000
Volume100,000
Source

https://nanonets.com/customer-success-story/how-advantage-marketing-a-marketing-platform-benefitted-from-nanonets

How we source this →

Grounding & classification
Source type: vendor customer story
25 fields verified against source quotes.
data extractiondocument aiocrreceiptfailure mode describedmetric backednamed customerproduction runtime claimedtools describedworkflow describedprofessional servicesautomation ratevendor customer storyback office opsdata entry opsdocument to recordextract classify route