Purchase Orders Document Automation

Streamline your procurement process with automated data extraction from purchase orders using super.AI IDP.

Book Demo →

Blank 'PURCHASE ORDER' form with fields for company and supplier details, order number, date, and a table for itemized order descriptions, quantities, and price.

Trusted by Industry Leaders Across the Globe

Enhance Efficiency with Automated PO Processing

Automate the extraction of key data such as vendor details, item numbers, quantities, and prices from purchase orders, facilitating faster and more accurate processing.

Professional purchase order template with vibrant blue headers from PLANERGY, detailing supplier and buyer information, order number, date, and a list of items with descriptions, quantities, and prices.

Fields that can be extracted:

PO number

Vendor Name

Buyer Name

Order Date

Delivery Date

Item Description

Quantity

Unit Price

Total Amount

Shipping Address

Billing Address

Payment Terms

Account Number

Account Balance

Account Holder Name

And Many More!

Accelerate Order Processing

Reduce the time it takes to process purchase orders by automating data extraction, ensuring that orders are placed and fulfilled more quickly and efficiently.

Nexi Group Achieved:

400 hours saved each month by automating the paper-based KYC and AML documentation processes, streamlining the merchant onboarding experience

Improve Accuracy and Reduce Errors

Minimize the potential for human error and ensure higher accuracy in your procurement data with AI-powered data extraction

Lano achieved:

Near-zero error rate

"When we saw the quality of the automatically retrieved information from a piece of paper, we didn’t want a human comparing or inputting the information. With super.AI it was really reading 99.9% of all the information in the document and allowed us to get rid of this manual process."

– Hagen Gall, Head of Merchant Onboarding and Operations Technology

Enhance Supplier Relationships

Improve your relationship with suppliers by ensuring timely and accurate order processing.

Bureau Veritas achieved:

$9M saved annually from reduced churn

Bureau Veritas achieved:

$9M saved annually from reduced churn

Optimize Inventory Management

Use extracted data to better manage inventory levels, reducing overstock and outages by aligning purchase orders more closely with actual inventory needs.

By automating international pay slip and invoice processing, Lano unlocked new levels of productivity, allowing its team to focus on value-adding activities and strategic growth.

Triputra achieved:

98% process automation

Get a customized demo with your documents

Book a free consultation with one of our experts.

Book a Demo →