Generate a detailed, multi-factor demand forecasting model for a specific product or SKU, considering historical data, seasonality, trends, and external variables.
Task: generate a summary of a video. Input: [video title], [video transcript], [length of summary: e.g., 100 words, 200 words] Instruction: summarize the video transcript, focusing on the main topics and key takeaways. The summary should be concise and informative, providing a clear overview of the video's content. Adhere to the specified length constraint.
Unlock full access
This prompt is part of the premium pack "Mastering inventory control strategies".
Create a framework for a dynamic demand forecasting model using exponential smoothing, incorporating historical sales data, seasonality, and trend analysis.
Generate a runnable Python script for advanced demand forecasting models like ARIMA or Prophet, incorporating historical sales data and external influencing factors to optimize inventory planning.
Predict and plan for workforce requirements based on historical data and anticipated seasonal demand fluctuations.
