Skip to main content
Documentation
Documentation
Administrator Guide
Last Updated: 2023-06-23
Steps: Set Up Machine Learning for Customer Payment Matching

Steps: Set Up Machine Learning for Customer Payment Matching

You must subscribe to Innovation Services to use this feature. Contact your Customer Success Manager to request the Innovation Services Addendum (ISA), or see Workday Innovation Services in the Workday Community for more information.
  • At least 30 days of customer payment transactions and data.
  • Configure the Innovation Services functional area and configure security policy permissions for these domains:
    • Manage: Innovation Services
    • View: Innovation Services
You can enable machine learning to get recommendations for matching payments to customer invoices and adjustments that have little or no remittance advice associated with the payment. The machine learning model uses insights from historical payment application data and also learns from current payment applications to determine invoice recommendations for a given payment. The model ignores:
  • Consolidated invoices
  • Invoices with term discounts
  • Invoices that don’t add up to the payment amount when making recommendations.
This innovation service feature provides beneficial recommendations only when you’re processing customer payments in Workday. The recommendations:
  • Address how to apply prepayments.
  • Address how to apply on-account payments.
  • Identify mis-applied payments.
  • Prevent write-off of a payment or invoice that should be a payment application.
Workday doesn't include cross-currency payments in the recommendations.
  1. Access the
    Innovation Services And Data Selection Opt-In
     report.
    The report lists all the innovation services available. Click the link to view additional information for each innovation service, security exhibit, and the data processing exhibit.
    1. In the
      Innovation Services Opt In
       tab, under
      Available Services
      Financials
      , select the
      Financial Management Machine Learning GA Features
       service check box.
    2. In the
      Maintain Innovation Services Data Selection Opt-In
       tab, under
      Financial Management Machine Learning GA Features
      , select the
      Opt In
       check box for the
      Customer Payment Data
       category to contribute data for Machine Learning. If you’ve previously opted in to
      Customer Payment Data
      , select the
      Opt In to Additional Data
       check box.
    3. In the
      Summary
       tab, you can verify the innovation services available and opted into. You can also view the data contribution opt-in for various categories.
    Security:
    Manage: Innovation Services
     domain in the Innovation Services functional area.
  2. (Optional) Access the
    Run On-Demand Machine Learning Activation for Implementation Tenant
     task to set up testing on Implementation Tenants.
    After setting up the task, it can take up to 2 weeks to view the machine learning feature functionality in your tenant. Then, you have 2 weeks to complete testing.
    Workday recommends using a Preview tenant to test this functionality because compared to Implementation tenant, you have unlimited time to test. Also, you can more easily enable Financials machine learning.
  3. (Optional) Access the
    Edit Tenant Setup - Machine Learning
     task.
    Select the region in which Workday hosts data contributed to the Machine Learning Development Environment (MLDE). The default region for the MLDE is the U.S.
    Security:
    Set Up: Tenant Setup - Machine Learning
     in the System functional area.
When you enable the feature for the first time, it takes up to 2 weeks to train the machine learning model using your data.
When you opt out of the data contribution, Workday purges your data within 30 days.
Run the
Schedule Cash Application Insights
 task to schedule cash application recommendations.