International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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Performance Optimization Techniques for Consumer-Facing eCommerce Platforms at Scale

Author(s) Mounica Singireddy, Somraju Gangishetti
Country United States
Abstract Consumer-facing eCommerce platforms are judged in milliseconds, yet many enterprise retail organizations still optimize performance as an after-the-fact exercise instead of a first-class architectural concern. This paper presents a practitioner-grounded IEEE-style study of performance optimization techniques for large-scale eCommerce front ends, synthesizing academic literature, web-performance standards, and field experience from enterprise retail delivery. The paper frames performance as a systems problem spanning network delivery, browser execution, component architecture, caching strategy, build governance, and observability. A layered methodology is proposed that combines Core Web Vitals instrumentation, route-level profiling, component budget enforcement, controlled rollout, and technical-debt retirement. The paper further develops a case study modeled on retail application modernization work, where route-entry optimization, bundle decomposition, telemetry dashboards, and workflow governance can plausibly produce large gains in Largest Contentful Paint, interaction responsiveness, deployment confidence, and defect containment. Four original diagrams and two engineering tables are used to present an optimization architecture, a performance-debt lifecycle, a migration strategy, and a closed-loop measurement workflow. The central argument is that durable performance improvement in enterprise commerce does not come from one isolated technique; it emerges from a coordinated operating model in which measurement, architecture, and delivery discipline reinforce each other.
Keywords eCommerce performance, Core Web Vitals, front-end architecture, bundle optimization, caching, observability, technical debt, Angular, enterprise retail, web performance engineering.
Field Engineering
Published In Volume 6, Issue 1, January-February 2024
Published On 2024-02-06
DOI https://doi.org/10.36948/ijfmr.2024.v06i01.78057
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E-ISSN 2582-2160
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