Data Points
The following invoice / receipt data points can be extracted from documents processed through TAI.
Note that GlobalCapture’s process history will report back fields that are found, but not present in a workflow in the retrieve step.
The following fields can be pulled from documents. As long as the field defined has been added to the workflow, anytime that field is encountered, it will be extracted.
Invoice Date - Add field INVOICE_RECEIPT_DATE
Invoice Number - Add field INVOICE_RECEIPT_ID
Invoice Tax Payer ID - Add field TAX_PAYER_ID
Customer Number - Add field CUSTOMER_NUMBER
Account Number - Add field ACCOUNT_NUMBER
Vendor Name - Add field VENDOR_NAME
VENDOR_NAME is a requisite part of most workflows, and in particular workflows that include vendor learning. To ensure success, when a vendor name is not identified on a document, the system will attempt to assign the value of VENDOR_URL, and then VENDOR_PHONE to the vendor name field. This does not impact extraction or field assignment for documents that include those fields. If all three fields are not found, routing conditions in the workflow may be required to handle such an unexpected scenario.
Vendor Address - Add field VENDOR_ADDRESS
Vendor Phone - Add field VENDOR_PHONE
Vendor Website - Add field VENDOR_URL
Receiver Name - Add field RECEIVER_NAME
Receiver Address - Add field RECEIVER_ADDRESS
Receiver Phone - Add field RECEIVER_PHONE
Order Date - Add field ORDER_DATE
Due Date - Add field DUE_DATE
Delivery Date - Add field DELIVERY_DATE
PO Number - Add field PO_NUMBER
Terms - Add field PAYMENT_TERMS
Total - Add field TOTAL
Amount Due - Add field AMOUNT_DUE
Amount Paid - Add field AMOUNT_PAID
Subtotal - Add field SUBTOTAL
Tax Amount - Add field TAX
Service Charge - Add field SERVICE_CHARGE
Tip Amount - Add field GRATUITY
Prior Balance - Add field PRIOR_BALANCE
Discount - Add field DISCOUNT
Shipping / Freight Charge - Add field SHIPPING_HANDLING_CHARGE
Customers with complex data requirements, or a need to manipulate specific fields, may consider reformatting in the process. While an advanced user feature, reformatting can add even more power to the platform by allowing users to combine multiple AI extracted data points, performing math functions, and and even adding or removing data with conditional logic.