Book Image

Mastering Microsoft Dynamics 365 Business Central - Second Edition

By : Stefano Demiliani, Duilio Tacconi
5 (3)
Book Image

Mastering Microsoft Dynamics 365 Business Central - Second Edition

5 (3)
By: Stefano Demiliani, Duilio Tacconi

Overview of this book

This book dives straight into guiding you through the process of building real-world solutions with the AL language and Visual Studio Code. It emphasizes best practices and extensibility patterns to ensure your extensions are well-structured, maintainable, and meet the needs of modern businesses. You'll learn advanced AL techniques, report creation methods, debugging strategies, and how to leverage telemetries for monitoring. Additionally, it covers performance optimization practices and API integration to help you create efficient and interconnected solutions. With a focus on extension development, this new edition allows you to jump right into coding without spending time on setup processes. This book introduces new chapters covering essential tasks that Business Central developers frequently encounter, such as file handling and printing management. Finally, the book expands its scope by including chapters on various integration aspects, including VS Code extensions, GitHub DevOps, Azure services, and Power Platform integrations. We’ll wrap up by covering Copilot capabilities in Business Central and how you can create your own generative AI copilots. By mastering these concepts and techniques, you'll be well-equipped to create powerful and customized solutions that extend the capabilities of Dynamics 365 Business Central.
Table of Contents (21 chapters)
19
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20
Index

Creating a generative AI solution for Dynamics 365 Business Central

One of the common tasks that a company needs to perform when starting to use Dynamics 365 Business Central is to create number series for entities (like Customer, Vendor, Item, Purchase Order, Sales Invoice, etc.). To do that, the user needs to go to the No. Series page and manually create a new record by setting the number series properties including defining the starting and ending numbers, specifying whether this number series will be used to assign numbers automatically, whether you can enter numbers manually instead of using this number series, whether a check that numbers are assigned chronologically must be done or not, and whether this number series allows gaps in the sequence.

Now imagine having a generative AI feature (this is our copilot) doing that for you, with something like the following button:

Figure 18.13: Objective of generative AI solution

By clicking the Generate button, our copilot...