Supply Chain Documentation Automation

Enhance supply chain efficiency with automated data extraction from documentation using super.AI IDP, ensuring seamless operations and informed decision-making.

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Supply Chain Documentation form with a diagram showing supplier and customer interconnections, including sections for shipment details, transportation method, and timelines.

Trusted by Industry Leaders Across the Globe

Streamline Supply Chain Operations with AI

Leverage super.AI IDP to automatically extract essential information such as supplier details, shipment data, and inventory levels from supply chain documents, enabling real-time insights and informed decision-making.

Supply chain and operations assessment form with an analysis table at the top and a hierarchical pyramid diagram of operational priorities, emphasizing efficiency and customer satisfaction.

Fields that can be extracted:

Document ID

Supplier Name

Buyer Name

Order Date

Order Number

Shipment Date

Delivery Date

Item Description

Quantity Ordered

Unit Price

Total Amount

Shipping Method

Delivery Address

Payment Terms

Account Number

Account Holder Name

And Many More!

Improve Data Accuracy

Ensure the accuracy of supply chain data by automating data extraction tasks.

Nexi Group Achieved:

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

Enhance Operational Efficiency

Streamline supply chain operations by automating document processing tasks.

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

Enhanced Document Organization

With automated document classification powered by super.AI IDP, you can effortlessly organize large volumes of documents according to predefined categories.

Bureau Veritas achieved:

$9M saved annually from reduced churn

Bureau Veritas achieved:

$9M saved annually from reduced churn

Harness Advanced AI Models

Take advantage of state-of-the-art AI models to enhance data extraction from supply chain documentation.

Lano Unlocked:

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

Triputra achieved:

98% process automation

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