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Microsoft Dynamics 365 AI for Business Insights

You're reading from   Microsoft Dynamics 365 AI for Business Insights Transform your business processes with the practical implementation of Dynamics 365 AI modules

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Product type Paperback
Published in Mar 2024
Publisher Packt
ISBN-13 9781801810944
Length 178 pages
Edition 1st Edition
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Author (1):
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Dmitry Shargorodsky Dmitry Shargorodsky
Author Profile Icon Dmitry Shargorodsky
Dmitry Shargorodsky
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Table of Contents (18) Chapters Close

Preface 1. Part 1: Foundations of Dynamics 365 AI
2. Chapter 1: Introduction and Architectural Overview of Dynamics 365 AI FREE CHAPTER 3. Chapter 2: Microsoft Dynamics 365 AI Architecture and Foundations 4. Part 2: Implementing Dynamics 365 AI Across Business Functions
5. Chapter 3: Implementing Dynamics 365 AI for Sales Insights 6. Chapter 4: Driving Customer Service Excellence with Dynamics 365 AI 7. Chapter 5: Marketing Optimization with Dynamics 365 AI 8. Chapter 6: Financial Analytics with Dynamics 365 AI 9. Part 3: Advanced Applications and Future Directions
10. Chapter 7: Leveraging Generative AI in Dynamics 365 11. Chapter 8: Harnessing MS Copilot for Enhanced Business Insights 12. Chapter 9: “Virtual Agent for Customer Service” in the Context of MS Copilot and Microsoft Dynamics 13. Chapter 10: Fraud Protection with Dynamics 365 AI 14. Part 4: Looking Ahead
15. Chapter 11: Future Trends and Developments in Dynamics 365 AI 16. Index 17. Other Books You May Enjoy

Marketing Optimization with Dynamics 365 AI

In the advancing field of digital marketing, the integration of artificial intelligence (AI) through platforms such as Microsoft Dynamics 365 is creating a significant shift in marketing strategies. In this chapter, we delve into the transformative impact of AI in the realm of marketing, highlighting how this technology is reshaping marketing efforts to be more effective and data-driven.

We commence our exploration with AI-driven customer segmentation and campaign targeting. This section will explore how Dynamics 365 AI utilizes advanced algorithms to analyze extensive customer data. By doing so, it segments customers beyond traditional demographics, considering their behaviors and preferences. This approach allows for highly targeted and efficient marketing campaigns, tailored to meet the specific needs and interests of different customer groups.

Progressing further, the chapter discusses personalized recommendations and cross-selling...

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