For this project I developed an IEEE requirements specification document for a mobile application for retail services using a wide range of elicitation techniques to gather functional and non-functional requirements from stakeholders. JUSQU is a mobile application that enables customers of retail clothing outlets to check themselves out rather than having to queue up at the traditional form of checkout, using computer vision and machine learning technologies.

The requirements were elicited through various techniques such as interviews, workshops, focus groups, surveys, brainstorming sessions, interface analysis and through prototypes. They involved meeting with and collaborating with the stakeholders on a number of occasions throughout the past few months.

JUSQU is assisting with the introduction of digital transformation in the retail industry and improving on their operations by staying current with the evolving technology trends and ultimately in adapting to their customers changing requirements and expectations.

The online survey was conducted through Google forms with over one hundred stakeholders taking part. This allowed for a more accurate conclusion to be made from the data gathered, where the aim was to identify features and functionality deemed desirable and important for the implementation of the solution.

Interviews took place with key personnel within the retail industry, which provided further insight into what specific requirements they would require to ensure that the application would be feasible within their stores.

The creation of the prototypes, which followed an evolutionary approach allowed for the stakeholders to get a visual representation of the final solution in its various stages throughout the project. This minimised any ambiguities surrounding the requirements gathered and put forth modifications to be made.