Sales predictive analysis for improving supply chain drug sample
Journal
Procedia Computer Science
ISSN
1877-0509
Publisher
Elsevier BV
Date Issued
2025
Author(s)
Téllez-Ballesteros, Susana Casy
Torres-Mendoza, Ricardo
Marmolejo-Saucedo, José Antonio
Type
text::journal::journal article
Abstract
The delivery of drug samples allows increasing sales of pharmaceutical products [6]. However, we discovered some problems that can be improved in the supply chain that delivers drug samples (used for the treatment of excess glucose). Databases were integrated; then we apply data extraction and transformation; and finally we apply multiple regression analysis to explain drug sales. The first analysis evaluates the integration of regional data and the second analysis refers to data dis-aggregated by region. We identify the region with the greatest impact on sales and the impact of the delivery of drug samples in the Mexican market. ©The authors ©Elsevier ©Procedia Computer Science.
License
Acceso Abierto
How to cite
Téllez-Ballesteros, S. C., Torres-Mendoza, R., Marmolejo-Saucedo, J. A., & Rodriguez-Aguilar, R. (2025). Sales predictive analysis for improving supply chain drug sample. Procedia Computer Science, 253, 1712–1719. https://doi.org/10.1016/j.procs.2025.01.233