Aug 2026· AI and Machine Learning Advances· Vol 02, pp. 63-71· 0 citations
TL;DR
The proposed API-led connectivity framework significantly improved order processing time, API response time, and peak throughput, and also managed up to 500 concurrent users and a 3.2x increase in order volume without outages.
Abstract
This research proposes an API-led connectivity framework to address challenges in digital transformation, particularly scalability, performance, and governance. Traditional integration methods, such as ESB and microservices, struggled with these issues. The study implemented a three-tier architecture consisting of System APIs, Process APIs, and Experience APIs, tested within Enterprise X, which faced performance and scalability issues with legacy integration methods. The framework significantly improved order processing time (73% reduction), API response time (74% reduction), and peak throughput (4.2x increase). It also managed up to 500 concurrent users and a 3.2x increase in order volume without outages. Operational efficiency saw a 35% reduction in maintenance costs, and partner onboarding was faster. The framework provided a scalable, flexible, and secure solution, driving digital transformation and supporting future business growth.
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