Analysing and Visualising trends for Supply Chain Demand Forecasting

Author:

Shibu Nikhitha1,Agarwal Reshu1

Affiliation:

1. Amity Institute of Information Technology Amity University,Noida,India

Publisher

IEEE

Reference14 articles.

1. Statsmodels: Econometric and statistical modeling with python;skipper;Proceedings of the 9th Python in Science Conference,0

2. Prediction of global omicron pandemic using ARIMA, MLR, and Prophet models;zhao;Scientific Reports,0

3. Chapter 7: Correlation and Simple Linear Regression;diane;Natural resources biometrics Open SUNY Textbooks Milne Library State University of New York at Geneseo,2014

4. Predictive Analytics for Demand Forecasting – A Comparison of SARIMA and LSTM in Retail SCM

5. Forecasting: principles and practice;hyndman;Otexts,2018

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. AI Applications in the Healthcare Logistics and Supply Chain Sectors;IFIP Advances in Information and Communication Technology;2024

2. Supply Chain Data Analysis with Innovative Logistics and Design Thinking Approaches;2023 7th International Conference on Electronics, Communication and Aerospace Technology (ICECA);2023-11-22

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