Year: 2025
Type: article
Abstract: This article examines the characteristics of contemporary SaaS platforms for automated bid and budget management in Amazon Advertising, built upon Machine-Learning-as-a-Service (MLaaS). We describe a three-tier architecture (Back-end, ML Modules, Front-end) and detail three core components: dynamic bid optimization, hybrid keyword recommendation, and budget-allocation forecasting. Our findings support the hypothesis that integrating MLaaS modules into a unified SaaS ecosystem enhances advertising effectiveness for small and medium-sized businesses. We discuss the study’s contributions, practical significance, and avenues for future development. Methodologically, the research is grounded in a comparative analysis of existing literature on SaaS bid-management platforms for Amazon Advertising, which enabled a comprehensive exploration of current platform features.
Author: Dmytro Balan
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4414663056
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