The role of automated testing in scaling global E-commerce operations: A technical deep dive

Seelamneni, Ajay (2025) The role of automated testing in scaling global E-commerce operations: A technical deep dive. World Journal of Advanced Research and Reviews, 26 (1). pp. 1257-1263. ISSN 2581-9615

E-commerce platforms face mounting challenges in maintaining reliable operations across global markets, particularly in managing cross-border trade and peak traffic events. AI-enhanced performance testing methodologies are revolutionizing how online retailers handle these challenges by integrating machine learning with traditional testing tools. The evolution spans from automated test generation to predictive analytics, enabling organizations to proactively identify and address potential issues. Through distributed testing architectures and comprehensive monitoring solutions, platforms can now ensure seamless performance across diverse geographic regions while maintaining regulatory compliance and optimal user experience. The integration of artificial intelligence not only transforms technical testing capabilities but also delivers substantial improvements in business metrics, setting new standards for e-commerce operations globally.