Automate Data Extraction from Return Receipts For Goods

Automate data capture from Return Receipts For Goods with Nanonets’ AI-powered Return Receipt For Goods OCR & machine learning. Extract data from Return Receipts For Goods & automate workflows for related use cases.
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Here's why you will love Nanonets

Capture Return Receipts For Goods from Emails

Collect or forward your emailed return receipts for goods to your Nanonets Inbox.

Automated Data Entry

Snap a picture and Nanonets will take care of the rest.

90% straight through processing

Accurately capture predefined labels with Artificial Intelligence. Reconcile data across sources.

HOW WE CAN HELP

Use cases for Nanonets’ return receipt for goods OCR

Customer service

Automate Customer service workflows/processes such as KYC, product returns/exchanges, service history and more

Learn more
Customer service

Order to Cash

Automate Order to Cash workflows/processes such as accounts receivable, payment reconciliations and more.

Learn more
Order to Cash
Return Receipts For Goods
WHAT WE EXTRACT

Fields that can be identified

Here are some fields Nanonets can extract by default. Say goodbye to manual data entry. Additional fields can also be extracted on request.

Weight
Date
Invoice number
Quantity
Condition
Received from
And many more...

When your business is your passion, don’t let data entry get in the way.

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How we compare

Benefits of Nanonets' Return Receipt For Goods OCR API

Traditional OCR Tools
Data Formatting
High savings
Nil or low training data
High training data
High training data
Receive documents from multiple channels
Amount of training data needed
Self-learning AI
No Template setup required
IT / API friendly
Multiple export options
Cost and Time Savings

Frequently asked Questions

Learn more about return receipt for goods automation & how Nanonets can help.

What types of return receipts for goods are supported?
Are return receipt for goods line items extracted?
Is Nanonets’ return receipt for goods capturing GDPR compliant?

Frequently asked Questions

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