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What is Sales Forecasting for Global Mart about?

Global Mart is an online store that wants to forecast sales and demand for the next 6 months to help manage revenue and inventory. The store has data on transactions from 7 market segments across 3 categories. This data needs to be segmented into 21 buckets and converted to monthly time series on sales, quantity, and profit. The 2 most profitable and consistent segments need to be identified using the coefficient of variation of profit. Classical decomposition and ARIMA models will then be used to forecast

Author

vishnuvk

Language

EN