The Science and Information (SAI) Organization
  • Home
  • About Us
  • Journals
  • Conferences
  • Contact Us

Publication Links

  • IJACSA
  • Author Guidelines
  • Publication Policies
  • Outstanding Reviewers

IJACSA

  • About the Journal
  • Call for Papers
  • Editorial Board
  • Author Guidelines
  • Submit your Paper
  • Current Issue
  • Archives
  • Indexing
  • Fees/ APC
  • Reviewers
  • Apply as a Reviewer

IJARAI

  • About the Journal
  • Archives
  • Indexing & Archiving

Special Issues

  • Home
  • Archives
  • Proposals
  • ICONS_BA 2025

Computer Vision Conference (CVC)

  • Home
  • Call for Papers
  • Submit your Paper/Poster
  • Register
  • Venue
  • Contact

Computing Conference

  • Home
  • Call for Papers
  • Submit your Paper/Poster
  • Register
  • Venue
  • Contact

Intelligent Systems Conference (IntelliSys)

  • Home
  • Call for Papers
  • Submit your Paper/Poster
  • Register
  • Venue
  • Contact

Future Technologies Conference (FTC)

  • Home
  • Call for Papers
  • Submit your Paper/Poster
  • Register
  • Venue
  • Contact
  • Home
  • Call for Papers
  • Editorial Board
  • Guidelines
  • Submit
  • Current Issue
  • Archives
  • Indexing
  • Fees
  • Reviewers
  • RSS Feed

DOI: 10.14569/IJACSA.2026.0170365
PDF

Web Application to Improve Advertising Order Management Based on Cloud Computing: Case Study of a Television Company

Author 1: Ariadna Gisselle Ledesma-Sánchez
Author 2: Ricardo Alejandro Gamarra-Valle
Author 3: Ernesto Adolfo Carrera-Salas

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 17 Issue 3, 2026.

  • Abstract and Keywords
  • How to Cite this Article
  • {} BibTeX Source

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.

Keywords: Advertising order management; cloud computing; process automation; television companies; web applications

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.

IJACSA

Upcoming Conferences

Computer Vision Conference (CVC) 2026

21-22 May 2026

  • Amsterdam, The Netherlands

Computing Conference 2026

9-10 July 2026

  • London, United Kingdom

Artificial Intelligence Conference 2026

3-4 September 2026

  • Amsterdam, The Netherlands

Future Technologies Conference (FTC) 2026

15-16 October 2026

  • Berlin, Germany
The Science and Information (SAI) Organization
BACK TO TOP

Computer Science Journal

  • About the Journal
  • Call for Papers
  • Submit Paper
  • Indexing

Our Conferences

  • Computer Vision Conference
  • Computing Conference
  • Intelligent Systems Conference
  • Future Technologies Conference

Help & Support

  • Contact Us
  • About Us
  • Terms and Conditions
  • Privacy Policy

The Science and Information (SAI) Organization Limited is a company registered in England and Wales under Company Number 8933205.