Chapter One — 1.1 Background to the Study

Artificial Intelligence has become one of the more actively explored innovations in the design of modern inventory management systems, promising gains in efficiency and reliability that legacy, largely manual approaches have struggled to deliver.

In practice, however, adoption of artificial intelligence within inventory management systems has been uneven, and its actual impact on data privacy compliance is not yet well understood in a rigorous, evaluable way — a gap this study is positioned to address.

1.2 Statement of the Problem

Existing approaches to data privacy compliance within inventory management systems remain largely reactive and fragmented, with little systematic use of artificial intelligence despite its demonstrated value elsewhere. This study addresses the resulting gap by designing and evaluating a solution built specifically around artificial intelligence.

1.3 Objectives of the Study

1. To design and implement a artificial intelligence-based approach to improving data privacy compliance in inventory management systems.
2. To evaluate the effectiveness of Artificial Intelligence in enhancing data privacy compliance within inventory management systems.
3. To identify the key requirements and constraints relevant to deploying artificial intelligence in this context.
4. To assess user and stakeholder perception of the resulting system.

1.4 Research Questions

1. How can artificial intelligence be applied to improve data privacy compliance in inventory management systems?
2. How effective is Artificial Intelligence at enhancing data privacy compliance within inventory management systems?
3. What requirements and constraints are relevant to deploying artificial intelligence 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 artificial intelligence for their own inventory management 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 BSc-level study, its scope is confined to designing and evaluating a artificial intelligence-based solution for inventory management systems, focused specifically on data privacy compliance; broader deployment considerations fall outside this scope.