How can I implement demand prediction in my business?
To implement demand prediction, start by collecting historical sales data and identifying key factors that influence demand.
What tools or software do you recommend for demand forecasting?
Popular tools include Python libraries like Pandas and Scikit-learn, as well as software like Tableau and Microsoft Power BI.
How do I choose the right model for my demand prediction?
Consider factors like data availability, seasonality, and the complexity of your business. Common models include ARIMA and machine learning algorithms.
Can you explain how to evaluate the accuracy of my predictions?
You can evaluate accuracy using metrics like Mean Absolute Error (MAE) or Root Mean Squared Error (RMSE) to compare predicted vs actual values.
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