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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

Learning about Einstein Forecasting

In the following sections, we will look at the Einstein platform's answer to one of the most vexing business problems around: How do I generate accurate sales forecasts? We will look in detail at the feature, its configuration, and the concerns you need to have as an architect when considering using it for a real-world scenario.

The basics of Einstein Forecasting

Forecasting is a central business problem affecting all companies that rely on predictable sales to make money. Turns out, most businesses do the same. The forecasting problem, however, is hard because shifts in demand rarely signal themselves in an easily discoverable way. Not surprisingly, many organizations struggle with producing consistently accurate forecasts.

Einstein Forecasting is Sales Cloud Einstein's contribution toward solving or at least ameliorating this problem. It sits on top of normal Salesforce collaborative, manually updated forecasts, using automated...

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