An Advanced Sales Forecasting Using Machine Learning Algorithm


Authors : B.Sri Sai Ramya, K. Vedavathi

Volume/Issue : Volume 5 - 2020, Issue 5 - May

Google Scholar : http://bitly.ws/9nMw

Scribd : https://bit.ly/3d6iLwe

Abstract : Sales forecasting is the manner of estimating future sales. Accurate income forecasts allow retailing market to make knowledgeable enterprise choices and predict non permanent and long-term performance. Sales forecasting helps a retailer to estimate its predicted future revenues for income made in a precise duration of time. Hence the time plays a significant role in Sales forecasting. Technically, a time sequence is a sequence of information factors indexed in time order

Keywords : Sales Forecasting, Time series, ARIMA Model, Gradient Descent and Random Forest Algorithm.

Sales forecasting is the manner of estimating future sales. Accurate income forecasts allow retailing market to make knowledgeable enterprise choices and predict non permanent and long-term performance. Sales forecasting helps a retailer to estimate its predicted future revenues for income made in a precise duration of time. Hence the time plays a significant role in Sales forecasting. Technically, a time sequence is a sequence of information factors indexed in time order

Keywords : Sales Forecasting, Time series, ARIMA Model, Gradient Descent and Random Forest Algorithm.

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