PRODUCTS

RECEIPT ITEM IDENTIFICATION

OurCart uses a unique combination of advanced machine learning technology, custom textual search, and years of experience to identify products in shopping receipts. Our automated algorithm converts images to text. Using proprietary search technology and advanced machine learning techniques, we then match the text to Universal Product Codes (UPCs) from our product database.

Advantages:

  • Identify items from specific brands

  • Identify item UPC/European Article Number (EAN)

  • Match items against proprietary client product hierarchy

  • Correct Optical Character Recognition mistakes to increase match rates by providing real-time feedback to customers to optimize their image capture via our white label app.

AUTOMATED RECEIPT TRANSCRIPTION

OurCart leverages Optical Character Recognition to extract relevant data from receipt images and provide a real-time, cost-effective and scalable solution. Our cloud-based, fully-automated engine interprets receipt images to extract the relevant data from the uploaded receipts.

Advantages:

  • Extract information from any retailer

  • Provide real-time response

  • Extract the following data fields: Purchase date, Purchase time, Total amount paid, Product Information (Code, Description, Quantity, Price), any other required field

MANUAL RECEIPT TRANSCRIPTION

OurCart offers a manual receipt transcription service when image quality is unreliable. By using manual receipt transcription, OurCart can extract data when receipt capture quality is too low for automated transcription.

Advantages:

  • Maximize data extraction from low-quality receipts

  • Integrate seamlessly with automated extraction and item identification engines

FRAUD DETECTION

OurCart automates fraud detection based on a user scoring mechanism. We use a set of indicators and human monitoring to determine a user’s fraud score. After reaching a certain threshold, users should be blocked from cashing out.

Advantages:

  • Automatically flag fraudulent users

  • Provide feedback to CS team on fraud methods

  • Block fraudulent users

 
 
 
 
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Woodstock St 23, W1C 2AB London, UK | Elifelet St 26, 6608026 Tel Aviv, Israel

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