Manage intelligent recommendations in Dynamics 365 Commerce
Offered By: Microsoft via Microsoft Learn
Course Description
Overview
- Module 1: Product recommendations is a customer shopping feature in Dynamics 365 Commerce. The recommendations are based on the purchase trends of other customers in online and brick-and-mortar stores. Purchase trends are analyzed by using artificial intelligence and machine learning, which help Commerce provide different types of relevant product recommendations.
In this module, you will:
- Learn how to enable and work with product recommendations.
- Learn about machine learning recommendations and recommendation lists and parameters.
- Module 2: Learn about the process from getting data to forming recommendations in Dynamics 365 Commerce.
In this module, you:
- Learn how data flows from Azure Data Lake to the Intelligent Recommendations service.
- Discover the key data entities for Intelligent Recommendations.
- Learn how to set up Azure Data Lake Storage for Intelligent Recommendations.
- Module 3: Learn about recommendation models and user experience in Dynamics 365 Commerce.
In this module, you'll:
- Learn about customizing product recommendations to your organization's preferences.
- Discover the parameter settings and their relevance in the recommendation process.
Syllabus
- Module 1: Module 1: Work with product recommendations in Dynamics 365 Commerce
- Introduction
- Types of product recommendations
- Shop similar looks
- Enable product recommendations
- Exercises
- Check your knowledge
- Summary
- Module 2: Module 2: Data ingestion to recommendations for Dynamics 365 Commerce
- Introduction
- Set up Azure Data Lake storage
- Enable production recommendations
- Set up a data flow
- Create recommendations with demo data
- Check your knowledge
- Summary
- Module 3: Module 3: Recommendation models and user experience in Dynamics 365 Commerce
- Introduction
- Personalized recommendations
- Point-of-sale recommendation experiences
- Adjust product recommendation results
- Create product recommendation results manually
- Check your knowledge
- Summary
Tags
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