Demand Forecast & Inventory Planner
This tool simulates how AI helps predict upcoming demand and align inventory levels accordingly—helping avoid both overstock and shortages.
What Is This Tool and How Does It Work?
The Demand Forecast & Inventory Planner shows how AI can help balance your stock levels by forecasting short-term product demand. It helps prevent both understock (lost sales) and overstock (waste).
Simulated Case Example:
A wholesaler typically sells 300 kg of tomatoes per week. Factoring in a +25% seasonal spike and checking current stock of 200 kg, the AI simulation advises sourcing an additional 175 kg to meet demand without running out.
In a real AI model, data from historical sales, customer orders, seasonality, and promotions would be used to recommend stock adjustments automatically.
How to Use It
- Select a product from the dropdown list.
- Enter your average weekly sales in kilograms.
- Input the seasonal adjustment factor (e.g. 20% increase = 20).
- Enter your current stock level in kg.
- Click “Simulate Forecast” to receive a stock adjustment suggestion.
- Use the Clear button to try other product scenarios.
This tool demonstrates how AI can turn sales and seasonal data into smarter inventory decisions.