Software Technology / IT · BSc · REF. TA-0737
Design and Implementation of an Artificial Intelligence-Based E-Commerce Platforms
Abstract
This BSc study investigates the subject matter outlined in the title above through a structured research design appropriate to the BSc level. Using primary and/or secondary data collection methods, the research examines the underlying variables, tests relevant hypotheses, and presents findings with implications for practice and policy. This is placeholder abstract text generated for catalogue preview purposes; the full document contains a complete, topic-specific abstract, literature review, methodology, data analysis, and conclusion.
Chapter One — 1.1 Background to the Study
The rapid evolution of Artificial Intelligence has transformed the way organizations design, deploy, and manage e-commerce platforms. As institutions seek to modernize legacy processes, Artificial Intelligence offers new opportunities to improve service delivery, reduce manual overhead, and respond more effectively to user needs.
In practice, however, adoption of artificial intelligence within e-commerce platforms has been uneven, and its actual impact on user experience is not yet well understood in a rigorous, evaluable way — a gap this study is positioned to address.
1.2 Statement of the Problem
Current e-commerce platforms in many organizations struggle with inadequate user experience, often relying on manual processes or outdated architectures that were not designed for today's operating environment. Without a structured approach to integrating artificial intelligence, these limitations are likely to persist, exposing organizations to inefficiency, risk, and a poor user experience. This study is motivated by the need to design and evaluate a artificial intelligence-based approach to addressing this problem.
1.3 Objectives of the Study
- To design and implement a artificial intelligence-based approach to improving user experience in e-commerce platforms.
- To evaluate the effectiveness of Artificial Intelligence in enhancing user experience within e-commerce platforms.
- To identify the key requirements and constraints relevant to deploying artificial intelligence in this context.
- To assess user and stakeholder perception of the resulting system.
1.4 Research Questions
- How can artificial intelligence be applied to improve user experience in e-commerce platforms?
- How effective is Artificial Intelligence at enhancing user experience within e-commerce platforms?
- What requirements and constraints are relevant to deploying artificial intelligence in this context?
- How do users and stakeholders perceive the resulting system?
1.5 Significance of the Study
Beyond its immediate technical contribution, this study offers value to organizations evaluating whether to invest in artificial intelligence for their own e-commerce platforms, and contributes to the broader literature on applied software technology / IT by documenting a concrete implementation and evaluation case.
1.6 Scope of the Study
As a BSc-level study, its scope is confined to designing and evaluating a artificial intelligence-based solution for e-commerce platforms, focused specifically on user experience; broader deployment considerations fall outside this scope.
Chapters Two through Five, references and appendices are available for a one-time fee of ₦50,000.
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