The Vantage Purchase Order Processing Skill is a production-ready process skill, comprising of document classification and pre-trained AI extraction models for processing purchase orders from USA, Germany, France and Spain.

A purchase order (PO) serves as the cornerstone of any transaction, representing the initial offer made by a buyer to a seller, outlining crucial details such as product types, quantities, and prices. Our Purchase Order Skill is a pivotal component within any accounts payable / accounts receivable process automation.

The skill has been trained on a large document set from the supported regions and is capable of handling regional requirements, a variety of input formats and extracting key data points from documents in 4 languages with high accuracy. The extracted data can then be passed on to business systems and processes managing order entry, invoicing and delivery. Processing purchase orders in Vantage can be further improved by adding a manual review and verification step.

Designed with efficiency at its core, our AI model revolutionizes purchase order processing, minimizing time and effort required. By automating mundane tasks and eliminating manual data entry, your team is empowered to focus on strategic initiatives, driving productivity and optimizing resource allocation.

• Receives and processes purchase orders in a variety of input formats - scanned images, PDFs, etc. Provides high accuracy of OCR conversion and data extraction.
• Automatically detects the purchase order region and applies classification, routing the document to the corresponding Purchase Order Document Skill.
• Includes two individual Purchase Order Document Skills - purpose-built AI extraction models -with regional specifics for USA & Europe (Germany, France, Spain).
• Pre-trained model automatically detects key fields on the purchase order and extracts relevant data (buyer, order number, order date, ship to and bill to addresses, line items, etc.). For a full list of extracted fields, please see the skill documentation.
• Detects Buyer and Supplier automatically, or allows to match against an existing database for optimal accuracy.
• Includes business rules and performs automatic data normalization and validations such as required fields, total amount calculation, delivery date validation etc. Further business rules can be added as individually required.
• Can be augmented by human-in-the-loop review and verification based on accuracy thresholds, missing or incorrect information.
• Allows further training of the model based on customer documents in real time. Over time significantly improves straight-through-processing rates and reduces the need for human interaction.