Chapter One — 1.1 Background to the Study

Organizations that depend on food delivery platforms are under increasing pressure to modernize, and Robotic Process Automation has emerged as one of the more promising avenues for doing so, given its demonstrated impact in related domains.

Despite this potential, many existing food delivery platforms were not originally designed with robotic process automation in mind, resulting in persistent gaps in predictive maintenance that limit their overall effectiveness. This study examines how Robotic Process Automation can be applied to help close that gap.

1.2 Statement of the Problem

Existing approaches to predictive maintenance within food delivery platforms remain largely reactive and fragmented, with little systematic use of robotic process automation despite its demonstrated value elsewhere. This study addresses the resulting gap by designing and evaluating a solution built specifically around robotic process automation.

1.3 Objectives of the Study

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

1.4 Research Questions

1. How can robotic process automation be applied to improve predictive maintenance in food delivery platforms?
2. How effective is Robotic Process Automation at enhancing predictive maintenance within food delivery platforms?
3. What requirements and constraints are relevant to deploying robotic process automation 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 robotic process automation 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

As a study of this kind, its scope is confined to designing and evaluating a robotic process automation-based solution for food delivery platforms, focused specifically on predictive maintenance; broader deployment considerations fall outside this scope.