Chapter One — 1.1 Background to the Study

Generative AI has become one of the more actively explored innovations in the design of modern point of sale systems, promising gains in efficiency and reliability that legacy, largely manual approaches have struggled to deliver.

Despite this potential, many existing point of sale systems were not originally designed with generative AI in mind, resulting in persistent gaps in system scalability that limit their overall effectiveness. This study examines how Generative AI can be applied to help close that gap.

1.2 Statement of the Problem

Current point of sale systems in many organizations struggle with inadequate system scalability, often relying on manual processes or outdated architectures that were not designed for today's operating environment. Without a structured approach to integrating generative AI, 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 generative AI-based approach to addressing this problem.

1.3 Objectives of the Study

1. To design and implement a generative AI-based approach to improving system scalability in point of sale systems.
2. To evaluate the effectiveness of Generative AI in enhancing system scalability within point of sale systems.
3. To identify the key requirements and constraints relevant to deploying generative AI in this context.
4. To assess user and stakeholder perception of the resulting system.

1.4 Research Questions

1. How can generative AI be applied to improve system scalability in point of sale systems?
2. How effective is Generative AI at enhancing system scalability within point of sale systems?
3. What requirements and constraints are relevant to deploying generative AI in this context?
4. 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 generative AI for their own point of sale systems, 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 study of this kind, its scope is confined to designing and evaluating a generative AI-based solution for point of sale systems, focused specifically on system scalability; broader deployment considerations fall outside this scope.