EST. 2026

The Archive

Software Technology / IT · BSc · REF. TA-0666

Development of a Chatbot Technology-Powered E-Commerce Platforms for Improved Predictive Maintenance

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

Chatbot Technology has become one of the more actively explored innovations in the design of modern e-commerce platforms, promising gains in efficiency and reliability that legacy, largely manual approaches have struggled to deliver.

Despite this potential, many existing e-commerce platforms were not originally designed with chatbot technology in mind, resulting in persistent gaps in predictive maintenance that limit their overall effectiveness. This study examines how Chatbot Technology can be applied to help close that gap.

1.2 Statement of the Problem

Existing approaches to predictive maintenance within e-commerce platforms remain largely reactive and fragmented, with little systematic use of chatbot technology despite its demonstrated value elsewhere. This study addresses the resulting gap by designing and evaluating a solution built specifically around chatbot technology.

1.3 Objectives of the Study

  1. To design and implement a chatbot technology-based approach to improving predictive maintenance in e-commerce platforms.
  2. To evaluate the effectiveness of Chatbot Technology in enhancing predictive maintenance within e-commerce platforms.
  3. To identify the key requirements and constraints relevant to deploying chatbot technology in this context.
  4. To assess user and stakeholder perception of the resulting system.

1.4 Research Questions

  1. How can chatbot technology be applied to improve predictive maintenance in e-commerce platforms?
  2. How effective is Chatbot Technology at enhancing predictive maintenance within e-commerce platforms?
  3. What requirements and constraints are relevant to deploying chatbot technology in this context?
  4. How do users and stakeholders perceive the resulting system?

1.5 Significance of the Study

This study is significant to software developers and system architects seeking practical guidance on applying Chatbot Technology within e-commerce platforms. It is equally relevant to organizations that rely on these systems, offering a reference point for evaluating whether such an investment is justified, and it adds to the growing body of work on chatbot technology applications in software technology / IT.

1.6 Scope of the Study

As a BSc-level study, its scope is confined to designing and evaluating a chatbot technology-based solution for e-commerce platforms, focused specifically on predictive maintenance; 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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