Chapter One — 1.1 Background to the Study

Serverless Computing has become one of the more actively explored innovations in the design of modern food delivery platforms, promising gains in efficiency and reliability that legacy, largely manual approaches have struggled to deliver.

In practice, however, adoption of serverless computing within food delivery platforms has been uneven, and its actual impact on process automation 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 process automation within food delivery platforms remain largely reactive and fragmented, with little systematic use of serverless computing despite its demonstrated value elsewhere. This study addresses the resulting gap by designing and evaluating a solution built specifically around serverless computing.

1.3 Objectives of the Study

1. To design and implement a serverless computing-based approach to improving process automation in food delivery platforms.
2. To evaluate the effectiveness of Serverless Computing in enhancing process automation within food delivery platforms.
3. To identify the key requirements and constraints relevant to deploying serverless computing in this context.
4. To assess user and stakeholder perception of the resulting system.

1.4 Research Questions

1. How can serverless computing be applied to improve process automation in food delivery platforms?
2. How effective is Serverless Computing at enhancing process automation within food delivery platforms?
3. What requirements and constraints are relevant to deploying serverless computing 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 serverless computing for their own food delivery 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

The study is limited to the design, implementation, and evaluation of a serverless computing-based approach to improving process automation within food delivery platforms. Reflecting its clearly defined scope, it does not extend to a full commercial rollout or long-term post-implementation review beyond the study period.