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Architecting AI Solutions on Salesforce

You're reading from  Architecting AI Solutions on Salesforce

Product type Book
Published in Nov 2021
Publisher Packt
ISBN-13 9781801076012
Pages 340 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Lars Malmqvist Lars Malmqvist
Profile icon Lars Malmqvist

Table of Contents (17) Chapters

Preface 1. Section 1: Salesforce and AI
2. Chapter 1: AI Solutions on the Salesforce Einstein Platform 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

Chapter 2: Salesforce AI for Sales

This chapter will cover the core sales-related artificial intelligence (AI) options in Salesforce. We will systematically go through scoring leads and opportunities, forecasting the value of sales, capturing activities from email, and analyzing conversations between staff and customers using the out-of-the-box Einstein features. For each topic, we will also discuss the pros and cons and what options an architect has if the limits of the feature are reached.

As part of each feature discussion, we will reference the Pickled Plastics Ltd. scenario that is used throughout the book to give a real-world grounding. In addition, we will do a hands-on configuration of the Lead Scoring feature in line with our scenario requirements.

In this chapter, we're going to cover the following main topics:

  • Introducing Sales Cloud Einstein
  • Setting up Einstein Lead Scoring and Opportunity Scoring
  • Learning about Einstein Forecasting
  • Diving...
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