IDR Adaptive Learning for Supplier Corrections

Intelligent Document Recognition can now compare similarity of invoices, enabling Adaptive Learning for supplier corrections. Making supplier corrections to incomplete invoices teaches IDR to recognize the correct supplier for subsequent invoices. IDR compares text, layout, and supplier logos from invoices to identify and match a supplier's invoice template. 

Business benefit includes:

• Increase efficiency by improving the supplier recognition accuracy and reducing manual corrections.
• Improve Adaptive Learning accuracy on all other invoices fields. 

Business Context: A core objective of buying organizations is to reduce the overall cost of payables invoice processing. To reduce these costs, Suppliers can utilize a variety of channels offered by the buying organization for submitting invoices. Buying organizations direct their high-volume suppliers to use electronic invoicing through direct integration or the B2B network to load invoices automatically. Organizations use IDR to automatically scan, recognize, and create invoices for medium-volume suppliers that usually email invoices. Low-volume suppliers are directed to the Supplier Portal to enter invoices. Improving IDR adaptive learning increases effectiveness of the IDR channel, minimizes the demands on implementation and support efforts, streamlines the overall user experience, and increases the uptake of this channel.
 

Steps to Enable

Create an SR, requesting to set the tenant setting 'useAlForSupplier' to true.