Steps: Set Up Machine Learning Recommendations for Customer Overpayments
You might need to take additional steps to enable this feature based on your organization's subscription service agreement. Your organization is either on the Main Service Agreement (MSA) or the Universal Main Service Agreement (UMSA). To determine your organization's subscription service agreement:
- Select your profile avatar on Workday Community.
- SelectProfile.
- On your profile page, select your organization's name, which is beneath your name and next to your job title.
- View yourSubscription Service Agreementvalue.
If the value is:
- UMSA, the feature is automatically available. You can skip theEnable Innovation Services Feature and AI Data Contributions for MSA Customersstep. For more information on Machine Learning data contributions, see Concept: Workday AI for Universal Main Subscription Agreement Customers.
- MSA, you must enable this feature through Innovation Services using theEnable Innovation Services Feature and AI Data Contributions for MSA Customersstep.
Note: UMSA customers don't have Innovation Services tasks and reports in their tenants as these are for MSA customers only. UMSA customers can ignore all information regarding Innovation Services.
- To train the overpayment reason and worktag recommendation model, you need a minimum of 3,000 historical customer overpayments.
You can enable customer overpayment recommendations for an overpayment reason, as well as cost center and location worktags. This functionality improves data accuracy and expedites the recording of overpayments.
- You might need to take additional steps to enable this feature depending on your organization's subscription service agreement. For more information, see this Community article.
- On theInnovation Services Opt-Intask, select theFinancial Management Generally Available Machine Learning Features and Third Party Servicesservice on theAvailable Servicestab in theFinancialscategory.
- On theMaintain Innovation Services Data Selection Opt-Intask, select theAccounts Receivable Datacategory for theFinancial Management Generally Available Machine Learning Features and Third Party Servicesservice.
- Access theEdit Tenant Setup - Machine Learningtask.Select the region in which Workday hosts data used for improvement and personalization of machine learning and analytics functionality.Security:Set Up: Tenant Setup - Machine Learningin the System functional area.
- Access theMaintain Machine Learning Prompt Recommendationstask.Select theAccounts Receivableproduct area.In theCustomer Overpaymentsgrid, select theEnable Machine Learning Recommendationscheck boxes for theOverpayment Reasonfield, along with the worktags where you want to receive recommendations.Select theEnable Machine Learning Defaultingcheck box if you want Workday to automatically populate an overpayment reason.Security:Manage: Innovation Servicesdomain in the System functional area.
- Access theMaintain Worktag Usagereport.SelectCustomer Invoice Writeoff and Overpayment.As you edit worktag usage, add these worktag types in thePrimary Worktag Typesgrid:
- Cost Center
- Location
You can only add a worktag type in either thePrimary Worktag TypesorAdditional Worktag Typesgrid. To add a worktag type in 1 grid, you must first remove it from the other grid.Security:Set Up: Enable Worktagsin these functional areas:- Common Financial Management
- Worktags
Workday recommends up to 5 payment reasons, as well as the cost center and location worktags when you enter an overpayment amount on these tasks:
- Apply Customer Payment.
- Record Customer Overpayment, when you access theRecord Overpaymentrelated actions menu of a customer payment applied on account.
When you select the
Enable Machine Learning Defaulting
check box, Workday automatically populates the top recommendation for the overpayment reason in scenarios of high prediction accuracy.