In this webinar, we will showcase a fully functional planning model developed using the Fabric Plan work item on Microsoft Fabric. Designed to serve as a practical structural wireframe for enterprise supply chain planning, this session highlights how unifying demand forecasting and inventory control bridges the gap between statistical insights and execution.
The demonstration will navigate through the model's core functionalities across five primary planning domains:
- Demand Plan (Statistical Forecasting Engine)
We will examine how the model uses the native Statistical Forecasting engine of the Fabric Plan work item to generate baseline demand projections. You will see how historical patterns and multi-dimensional driver logic establish a reliable demand baseline across product categories and time horizons.
- Inventory Policy (Days-Based Configuration)
Next, we will look at how strategic Inventory Policies are structured within the model. By setting up required inventory targets in number of days, the model enables safety stock and operational buffers to dynamically adapt to shifting demand patterns and lead times.
- Stock Coverage (Actual vs. Desired Coverage)
The model evaluates forward-looking inventory consumption by comparing Actual Coverage directly against Desired Coverage (target days). We will demonstrate how this layer highlights stock depletion trends early, giving planners actionable visibility into upcoming coverage gaps.
- Stock Health (Diagnostics and Level Analysis)
Effective inventory management requires continuous monitoring of stock condition across the portfolio. We will walk through the model's Stock Health diagnostic features, illustrating how it categorizes inventory levels—pinpointing stockout risks, healthy operational windows, and overstock scenarios to help optimize working capital.
- Inventory Plan (Automated Replenishment with Manual Adjustments)
Finally, we will demonstrate the automated Inventory Plan, which calculates recommended purchase and stock replenishment quantities based on forecasted demand, lead times, and target policy days. The model also features built-in provisions for manual planner adjustments, demonstrating how human expertise and market context can override or fine-tune automated system recommendations.
Key Takeaways:
- Integrated Planning Blueprint: See how demand forecasting and inventory replenishment connect within a unified structural wireframe in Microsoft Fabric.
- Practical Model Architecture: Explore the live user experience, calculated metrics, and workflow logic of a pre-built Fabric Plan solution.
- Capital and Operational Optimization: Understand how automated stock coverage analysis and health diagnostics help minimize stockouts while preventing over-investment in inventory.
- Balancing Automation and Control: Observe how automated replenishment calculations coexist with intuitive manual overrides for flexible, real-world planning.
Whether you are a supply chain professional, data practitioner, or planning practitioner, this demonstration offers a clear view of how integrated demand and inventory planning functions operate inside the Microsoft Fabric ecosystem.
