AI in Microsoft Dynamics 365 Finance, Supply Chain Management, and Commerce

How Microsoft's artificial intelligence is changing modern ERP systems

Artificial intelligence is becoming a key element in the development of ERP systems. Microsoft Dynamics 365 consistently integrates AI directly into business applications such as Finance, Supply Chain Management (SCM), and Commerce. This allows organizations to automate processes, improve the quality of decisions, and respond faster to market changes — without the need to deploy external analytics tools.

The central element of this transformation is Copilot for Dynamics 365, which uses generative language models and machine learning algorithms built into the Microsoft ecosystem.

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Source: https://learn.microsoft.com/en-us/copilot/roadmap/copilot-for-dynamics365

AI in Dynamics 365 Finance — Intelligent Financial Management

Dynamics 365 Finance uses artificial intelligence to improve the day-to-day work of finance teams and support strategic decisions. Built-in AI features allow you to:

Automatic generation of financial data summaries in natural language
Support analysis of financial reports and identification of deviations
Contextual explanations of data directly in the user interface
Faster cash flow forecasting based on historical data

Copilot in Finance allows users to ask questions about financial data and receive answers without the need to create complicated reports or data exports. AI works within Dynamics 365 security and data models.

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Source: https://learn.microsoft.com/en-us/dynamics365/fin-ops-core/fin-ops/copilot/copilot-for-finance-operations

AI in Dynamics 365 Supply Chain Management — Resilience and Prediction

In the supply chain area, Microsoft AI focuses on operational resilience, predictability and decision automation. Dynamics 365 Supply Chain Management uses AI to:

Forecasting demand using machine learning models
Optimize inventory levels and production planning
Analyze operational data and generate smart summaries
Identify risks in the supply chain based on historical data

Copilot in SCM allows users to quickly access key operational information, such as order status, inventory levels and delivery delays, without having to manually filter the data.

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Sources:
https://www.microsoft.com/en-us/dynamics-365/products/supply-chain-management
https://learn.microsoft.com/en-us/dynamics365/supply-chain/get-started/copilot-summaries-overview

AI in Dynamics 365 Commerce — personalization and sales automation

Dynamics 365 Commerce uses artificial intelligence to improve the shopping experience and the effectiveness of sales and marketing teams. AI features include:

Generate and optimize product content with Copilot
Personalize customer experiences across online and offline channels
Support of marketing activities through analysis of sales data
Integration with Azure AI iPower Platform

Microsoft emphasizes that AI in Commerce supports both retail and e-commerce, enabling consistent offer, pricing and content management across multiple sales channels.

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Sources:
https://www.microsoft.com/pl-pl/dynamics-365/products/commerce
https://learn.microsoft.com/en-us/dynamics365/commerce/

Copilot as the foundation of AI strategy in Dynamics 365

Copilot in Dynamics 365 is not an add-on, but an integral part of an ERP application. Microsoft also provides mechanisms to create its own AI extensions and agents that can execute specific business processes in Finance, SCM and Commerce using data and system logic.

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Source: https://learn.microsoft.com/en-us/dynamics365/fin-ops-core/dev-itpro/copilot/copilot-ai-plugins

Summary — AI as a standard in Microsoft ERP

Artificial intelligence in Dynamics 365 Finance, Supply Chain Management and Commerce is already a real tool to support business. Microsoft is systematically developing built-in AI capabilities that automate reporting, data analysis, forecasting, and content creation. This allows organizations using Dynamics 365 to increase operational efficiency without expanding their IT architecture.

AI in Dynamics 365 is an evolution of ERP towards systems that actively support users in decision-making — directly in the workplace, based on data and security of the Microsoft platform.

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