How can I forecast demand for seasonal products?
To forecast demand for seasonal products, you can analyze historical sales data, consider market trends, and use statistical methods.
What statistical methods are best for this?
Common methods include time series analysis, regression analysis, and moving averages. Each has its strengths depending on the data.
How far back should I look at historical data?
Ideally, you should analyze at least 2-3 years of historical data to capture seasonal patterns effectively.
Are there any tools that can help with this?
Yes, tools like Excel, R, Python, and specialized software like Tableau or SAS can help you analyze and forecast demand.
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