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Smarter Forecasting for Consumer Products: Demand Planning with Copilot in Microsoft Dynamics 365
Posted on: May 28, 2025 | By: Maya VanderWoude | Microsoft Dynamics AX/365, Microsoft Dynamics Manufacturing
In the fast-paced world of consumer products, demand planning is both an art and a science. Shifting consumer preferences, promotional cycles, channel diversity, and seasonal volatility all make accurate forecasting a critical capability. For companies looking to stay ahead, Microsoft’s Copilot for Demand Planning in Dynamics 365 Supply Chain Management offers a transformative approach—infusing AI-driven intelligence directly into the planning workflow. With Copilot, demand planners can analyze historical data and trends using natural language queries and receive actionable insights within seconds. This enables faster decision-making, more targeted planning, and ultimately, better alignment between supply and demand.

Why AI-Driven Demand Planning Matters in Consumer Products
In the consumer products industry, misaligned forecasts can ripple through the business—from lost sales and excess inventory to missed growth opportunities and eroded customer loyalty. Accurate planning is especially complex when managing hundreds (or thousands) of SKUs across regions, retailers, and fulfillment channels.
Copilot addresses this complexity head-on. By analyzing patterns across time series data—whether daily, weekly, or monthly—it helps surface meaningful shifts, identify anomalies, and highlight trends. Rather than relying on static reports or gut instincts, planners can now use a guided AI experience to validate assumptions and explore performance across product lines, markets, and promotions. To learn more broadly about Copilot’s capabilities within Microsoft Dynamics 365 Supply Chain Management, click here.
What Copilot Brings to Demand Planning
Within Microsoft Dynamics 365 Supply Chain Management, Copilot provides demand planners with the ability to ask predefined analytical questions. These include comparisons between time periods, detection of anomalies, and measurement of deviations between forecast and actuals.
The key capabilities include:
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Shift Detection: Identify significant changes in demand from one period to the next.
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Trend Analysis: Evaluate emerging or declining patterns over time.
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Outlier Detection: Pinpoint unusual values that may indicate issues or opportunities.
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Deviation Analysis: Compare forecast accuracy between multiple data series.
All results are presented in natural language with accompanying visuals—helping teams move quickly from data interpretation to planning adjustments.
Designed for Usability and Scale
Copilot integrates directly into the existing demand planning worksheet, respecting all applied filters and parameters. It’s designed to be intuitive and responsive, offering high-value insights without requiring users to master complex queries or analytics tools.
For consumer products companies with large datasets and multifaceted operations, this means less time sifting through data and more time focusing on strategy and execution.
Responsible AI, Transparent Outcomes
Microsoft’s approach to Copilot emphasizes transparency, oversight, and user control. AI-generated summaries are limited to the top ten most significant findings per query and should always be reviewed in context. This ensures that insights are used responsibly and in alignment with business goals.
Copilot also supports multiple languages, though English remains the most accurate for nuanced summaries and terminology.
Activation and Accessibility
“Analyze Demand Plans with Copilot” is enabled by default in all environments. However, system administrators can manage access via the Power Apps maker portal:
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Go to Solutions.
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Open the Default Solution.
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Locate and edit the Copilot for demand planning setting.
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Toggle to “Yes” to enable or “No” to disable.
This ensures governance and flexibility while embedding AI into planning workflows.
Conclusion
Demand planning in the consumer products industry is evolving, and the integration of AI into everyday workflows is a major step forward. Microsoft Dynamics 365 Supply Chain Management, enhanced by Copilot, helps businesses improve forecasting precision, reduce planning cycles, and gain confidence in their decisions. With Copilot, planning teams are no longer bound by static reports or manual trend spotting—they’re empowered to explore demand data through intelligent, contextual analysis that drives better business outcomes.
Next Steps
If you want to learn more about Demand Planning with Copilot in Microsoft Dynamics 365 Supply Chain Management, contact us here to learn how we can help you grow your business. You can also email us at info@loganconsulting.com or call (312) 345-8817.
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