ai-one Use Case: Enhance OCR of Credit Card Receipts using Machine Learning API

OCR Correction using ai-one machine learning API


Use Case Summary:

The BON Matcher is an ai-one implementation enabling a leading swiss retail store to analyze all scanned credit card receipts.

After the scan process, all credit card receipts are analyzed and matched against patterns using a-one’s API.

Our solution corrects the errors of the optical character recognition (OCR) system when it fails to recognize 100% of the elements.

This was an early validation of our technology. It ¬†affirmed ai-one’s superiority over alternative artificial intelligence-based solutions as a much faster, better quality, and less expensive solution. The retail chain saved substantial operating costs by automating this process and was able to reduce its workforce by 15 people.

The project was finished after 3 months of development time and is still being used for more than 80 stores.

The feature of the technology used in this application is commonly used in document archiving systems where users need to search for documents that have been scanned with many character errors.

Benefits:

  • Improved OCR performance from 80% to 98% in less than a week after implementation.
  • Enhancing OCR recognition in a separate, low-cost post processing process
  • Faster data availability
  • Additional fraud detection possibilities

Deployment:

Customize software development

Status:

Solution in place. Successful since 2006 launch.

Partner:

Swiss Data Safe AG

Application areas:

  • OCR recognition
  • Numerical series matching
  • Data management / Archiving

Target Industries:

  • Information management
  • Retail

 

OCR Correction Workflow Using Machine Learning API

 


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