Case Study: AI-Driven Autoscaling for E-Commerce Search Infrastructure

case-study
Received: Oct 10, 2025
Published: Oct 30, 2025
Authors: Valentina Rossi ✉ Rafael de Souza

Abstract

We implemented a predictive autoscaling agent using historical search query load patterns, cutting infrastructure costs by 21% and maintaining 99.98% uptime.

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Cite this article

Rossi, V. & Souza, R. D. (2025). Case Study: AI-Driven Autoscaling for E-Commerce Search Infrastructure. Research Explorations in Global Knowledge & Technology (REGKT), 4 (1). Retrieved from https://regkt.com/article.php?id=192&slug=case-study-ai-driven-autoscaling-ecommerce-search-infrastructure

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