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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 17 Issue 3, 2026.
Abstract: Television companies face significant problems in managing advertising orders due to manual processes that cause transcription errors, delays, and a lack of traceability. This study proposes a web application based on cloud computing to automate this process. The solution implements a hybrid architecture that allows advertising agencies to enter orders directly, eliminating manual transcription and providing complete traceability. The results of the pilot test demonstrated substantial improvements: processing time was reduced by 88.33%, decreasing from 17 minutes 16 seconds to 2 minutes 1 second per order. Transcription errors fell from 60% to 0%, and operating costs were reduced by 54.5%. Automation in reporting eliminated manual management, allowing agencies direct access to campaign information. The implementation successfully transformed manual management into an automated, efficient, and scalable system, improving operational efficiency and customer satisfaction.
Ariadna Gisselle Ledesma-Sánchez, Ricardo Alejandro Gamarra-Valle and Ernesto Adolfo Carrera-Salas. “Web Application to Improve Advertising Order Management Based on Cloud Computing: Case Study of a Television Company”. International Journal of Advanced Computer Science and Applications (IJACSA) 17.3 (2026). http://dx.doi.org/10.14569/IJACSA.2026.0170365
@article{Ledesma-Sánchez2026,
title = {Web Application to Improve Advertising Order Management Based on Cloud Computing: Case Study of a Television Company},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2026.0170365},
url = {http://dx.doi.org/10.14569/IJACSA.2026.0170365},
year = {2026},
publisher = {The Science and Information Organization},
volume = {17},
number = {3},
author = {Ariadna Gisselle Ledesma-Sánchez and Ricardo Alejandro Gamarra-Valle and Ernesto Adolfo Carrera-Salas}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.