Exploring Time Series Analysis Techniques for Sales Forecasting

Author:

Arunkumar MuruganORCID,Palaniappan SambandamORCID,Sujithra R.ORCID,VijayPrakash S.ORCID

Publisher

Springer Nature Singapore

Reference18 articles.

1. Lee HJ, Kim H, Oh S (2019) A hybrid model based on deep learning and ARIMA for demand forecasting. Sustainability 11(6):1576

2. Ayub N, Abbas H, Qamar MU, Ahmad J, Rehman MA (2020) A reinforcement learning approach for demand forecasting and inventory optimization. Neural Comput Appl 32(22):16641–16653

3. Wang Y, Huang L, Wang Z (2020) Random forest model for demand forecasting in manufacturing industry. Int J Adv Manuf Technol 108(7–8):2445–2457

4. Islam SU, Tareq MA, Hossain MM (2020) Demand forecasting for the manufacturing industry using ARIMA model. J Ind Eng Int 16(2):195–202

5. Gopalakrishnan T, Choudhary R, Prasad S (2018) Prediction of sales value in online shopping using linear regression. Int J Innov Res Comput Commun Eng 6(4):5–10

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