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Posted on behalf of Rakesh Paul.
I am doing one project on Garments industry sales prediction for different style code. I have near about 1273 unique style codes and I have their Sales data and the Discount rate data day wise. To reduce the data I clubbed day data into weeks and. I have the data for a full season called "Autumn Winter" and I have data for "End of season sales" data also. My main objective is to predict the "End of season Sales" based on the previous weeks sales data & on Discount Rate. So how to go forward. Please suggest me.
I have came across similar problem two years back and at that time we predicted our sales using linear regression, taking seasonality in to account, , competitor price, promotions etc as independent variables.
Let me know if it makes sense.