Applying Machine Learning and Statistical Forecasting Methods for Enhancing Pharmaceutical Sales Predictions
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Govindan, Kannan & Kannan, Devika & Jørgensen, Thomas Ballegård & Nielsen, Tim Straarup, 2022. "Supply Chain 4.0 performance measurement: A systematic literature review, framework development, and empirical evidence," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 164(C).
- Emir Zunic & Kemal Korjenic & Kerim Hodzic & Dzenana Donko, 2020. "Application of Facebook's Prophet Algorithm for Successful Sales Forecasting Based on Real-world Data," Papers 2005.07575, arXiv.org.
- Lee, Kangbok & Joo, Sunghoon & Baik, Hyeoncheol & Han, Sumin & In, Joonhwan, 2020. "Unbalanced data, type II error, and nonlinearity in predicting M&A failure," Journal of Business Research, Elsevier, vol. 109(C), pages 271-287.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Kanungo, Rama Prasad, 2021. "Uncertainty of M&As under asymmetric estimation," Journal of Business Research, Elsevier, vol. 122(C), pages 774-793.
- Zhang, Wen & Yan, Shaoshan & Li, Jian & Tian, Xin & Yoshida, Taketoshi, 2022. "Credit risk prediction of SMEs in supply chain finance by fusing demographic and behavioral data," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 158(C).
- Tugce Karatas & Ali Hirsa, 2021. "Predicting Status of Pre and Post M&A Deals Using Machine Learning and Deep Learning Techniques," Papers 2110.09315, arXiv.org.
- Wenhan Fu & Sheng Jing & Qinming Liu & Hao Zhang, 2023. "Resilient Supply Chain Framework for Semiconductor Distribution and an Empirical Study of Demand Risk Inference," Sustainability, MDPI, vol. 15(9), pages 1-14, April.
- Mohammed, Ahmed & Yazdani, Morteza & Govindan, Kannan & Chatterjee, Prasenjit & Hubbard, Nicolas, 2023. "Would your company’s resilience be internally viable after COVID-19 pandemic disruption?: A new PADRIC-based diagnostic methodology," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 180(C).
- Simpson, Joseph J. & Sariol, Marcie, 2022. "Uncertainty, entrepreneurial orientation, and the pursuit of M&A: Managing the unpredictable," Journal of Business Research, Elsevier, vol. 142(C), pages 423-434.
- Govindan, Kannan & Jain, Preeti & Kr. Singh, Rajesh & Mishra, Ruchi, 2024. "Blockchain technology as a strategic weapon to bring procurement 4.0 truly alive: Literature review and future research agenda," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 181(C).
- Simonetto, Marco & Sgarbossa, Fabio & Battini, Daria & Govindan, Kannan, 2022. "Closed loop supply chains 4.0: From risks to benefits through advanced technologies. A literature review and research agenda," International Journal of Production Economics, Elsevier, vol. 253(C).
- Eric Halford, 2024. "The Proportionality of Police Stop and Search in the Coronavirus Pandemic," SAGE Open, , vol. 14(3), pages 21582440241, August.
- Gupta, Anshu & Pachar, Nomita & Jain, Akansha & Govindan, Kannan & Jha, P.C., 2023. "Resource reallocation strategies for sustainable efficiency improvement of retail chains," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
More about this item
Keywords
sales forecasting; machine learning; time series analysis; pharmaceutical industry; seasonality effects; Anatomical Therapeutic Chemical (ATC) Classification System;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jforec:v:6:y:2024:i:1:p:10-186:d:1340047. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.