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The dataset is of a Global Pharmacy Company. The dataset comprises of Historical sales, Product Information and products which need forecasting. The demand forecasting is required at a quarterly level. Carry-Over products are those products which have historical data present and New products do not have any historical data present.

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Machine-Learning-based-Supply-Chain-Demand-Forecast-for-a-Global-Pharmacy-Company

The dataset is of a Global Pharmacy Company. The dataset comprises of Historical sales, Product Information and products which need forecasting. The demand forecasting is required at a quarterly level. Carry-Over products are those products which have historical data present and New products do not have any historical data present.

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The dataset is of a Global Pharmacy Company. The dataset comprises of Historical sales, Product Information and products which need forecasting. The demand forecasting is required at a quarterly level. Carry-Over products are those products which have historical data present and New products do not have any historical data present.

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