15.5 Publish your Recipe as a Scheduled Service

Finally, you can select your best experiment and Publish it as a Scheduled Service which will score customers and their propensity to buy on a recurring basis.

Log in to Adobe Experience Platform by going to this URL: https://experience.adobe.com/platform.

After logging in, you’ll land on the homepage of Adobe Experience Platform.

Data Ingestion

Before you continue, you need to select a sandbox. The sandbox to select is named --aepSandboxId--. You can do this by clicking the text Production Prod in the blue line on top of your screen.

Data Ingestion

After selecting the appropriate sandbox, you’ll see the screen change and now you’re in your dedicated sandbox.

Data Ingestion

From the left menu, click on Models.

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In this exercise, we’ll use a prebuilt recipe to create a model for car insurance sales predictions.

In the top menu, click on Recipes.

DSW

In Recipes, you’ll find multiple recipes. Look for your own recipe in the list, which should be named ldapCarInsurancePropensity. Click the ldapCarInsurancePropensity recipe to open it.

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Click to open the Model you created in the previous exercise, ldap - CarInsurancePropensity Model.

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You’ll then see this:

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Click the button + Publish.

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You then have to name your Service.

As a name, use ldap - Car Insurance Propensity Service.

In this example, for ldap vangeluw, the name should be vangeluw - Car Insurance Propensity Service.

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Click Next.

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In the next screen, you need to select a Training Run to run as part of this Service.

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Next, click Finish.

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Your service is now almost created. Click Set Schedule to configure your schedule for this service.

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Configure your schedule so that your Service runs in the weekend, on Saturday or Sunday. You can choose the time yourself.

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Next, you need to select the Scoring Dataset and the Scoring Results Dataset.

The Scoring Dataset should be Demo System - Event Dataset for Website (Global v1.1).

The Scoring Results Dataset should be Demo System - Profile Dataset for ML Predictions (Global v1.1).

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Next, click Create.

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And you’re done. Your service is now created and the schedule is set.

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Next Step: Summary & benefits

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