Update README.md

Author: calreynolds

README.md

@@ -13,6 +13,9 @@ Traditional forecasting approaches often aggregate demand across locations, prod
 - **Aggregate Approach**: "We'll sell 10,000 units of Product A this month"
 - **Fine-Grained Approach**: "Store 1 will sell 45 units of Product A, Store 2 will sell 67 units, Store 3 will sell 23 units..."
 
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+<img width="1038" height="512" alt="Demand_Forecasting_Plotly" src="https://github.com/user-attachments/assets/50877df7-fdc1-4de2-a452-e4e9ac4193fb" />
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 This granular approach addresses real-world business challenges:
 
 - **Inventory Optimization**: Precise allocation of inventory across locations based on local demand patterns
@@ -40,6 +43,7 @@ This solution scales from hundreds to thousands of store-item combinations, maki
 
 ## 🚀 Installation
 
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 ### Recommended: Using Databricks Asset Bundle Editor
 
 1. **Clone this repository** to your Databricks workspace: