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Architecting AI Solutions on Salesforce

You're reading from   Architecting AI Solutions on Salesforce Design powerful and accurate AI-driven state-of-the-art solutions tailor-made for modern business demands

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Product type Paperback
Published in Nov 2021
Publisher Packt
ISBN-13 9781801076012
Length 340 pages
Edition 1st Edition
Concepts
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Author (1):
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Lars Malmqvist Lars Malmqvist
Author Profile Icon Lars Malmqvist
Lars Malmqvist
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Toc

Table of Contents (17) Chapters Close

Preface 1. Section 1: Salesforce and AI
2. Chapter 1: AI Solutions on the Salesforce Einstein Platform FREE CHAPTER 3. Section 2: Out-of-the-Box AI Features for Salesforce
4. Chapter 2: Salesforce AI for Sales 5. Chapter 3: Salesforce AI for Service 6. Chapter 4: Salesforce AI for Marketing and Commerce 7. Chapter 5: Salesforce AI for Industry Clouds 8. Section 3: Extending and Building AI Features
9. Chapter 6: Declarative Customization Options 10. Chapter 7: Building AI Features with Einstein Platform Services 11. Chapter 8: Integrating Third-Party AI Services 12. Section 4: Making the Right Decision
13. Chapter 9: A Salesforce AI Decision Guide 14. Chapter 10: Conclusion 15. Assessments 16. Other Books You May Enjoy

Implementing Commerce Cloud Einstein

Commerce Cloud Einstein is Salesforce's AI offering for B2C storefronts built on Commerce Cloud. It is focused on providing easy out-of-the-box offerings that drive fast value. It does so by saving time and effort in setting up the features while providing a great user experience to customers. We will start with the biggest and most important feature: Einstein Product Recommendations.

Einstein Product Recommendations

We have already met the powerful recommendations engine driving Einstein Recommendations in Marketing Cloud. Einstein Product Recommendations is the native Commerce Cloud option for providing recommendations for other products in the catalog. In contrast to the general-purpose Einstein Recommendations, Einstein Product Recommendations is focused entirely on providing good product recommendations as part of an e-commerce website. Therefore, the two are complementary, although they overlap in some functionality.

The configuration...

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