Time Series Analysis and Random Forest Techniques for Prediction of Sales for Retail Grocery

Author:

Parashar Anshumali1,Indumathy R.2,Akhilesh Gowda Y. N.3,Alotoum Firas Jamil4,Doguparthy Guna Sankar5,Natrayan L6

Affiliation:

1. MBM Engineering College, Ratanada,Dept. Of Electronics and Communication,Jodhpur,India

2. Dr.N.G.P. Institute of Technology Kalapatti,Department of Management Studies,Coimbatore,India

3. St Claret College,Department of Commerce,Bangalore,India

4. ISRA University, Amman-Jordan. Firas.,Faculty of Business

5. Vrs &Yrn College,Dept. Of Management Post Graduate Department of Management,Chirala,Andhra Pradesh,India

6. Saveetha School of Engineering, Simats,Department of Mechanical Engineering,Chennai,Tamil Nadu,India

Publisher

IEEE

Reference9 articles.

1. Forecasting with Excel: Suggestions for Managers. Spreadsheets in Education (eJSiE). 2;Nadler;Profit Prediction Using ARIMA, SARIMA and LSTM Models in Time Series Forecasting,2007

2. Machine Learning based Food Sales Prediction using Random Forest Regression

3. Intelligent Agent-Based Predict System With Cloud Computing for Enterprise Service Platform in IoT Environment

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