Aplicación móvil utilizando Kotlin para optimizar el tiempo de cobro de productos en supermercados

Abstract

Over time, commerce has experienced accelerated growth, which has generated a global expansion of supermarkets. due to their high competition, their main objective is the customer experience. This study addresses one of the most common challenges in the supermarket checkout process, specifically in handling unlabeled products. Therefore, applied research has been used, combining surveys of cashier staff and a sample of customers to collect information and opinions, in order to identify perceptions and possible improvements, while the assistance of the staff in generating their barcode when it is presented in a purchase, which customer discomfort and even lead to lost sales. The project materializes as a mobile application for Android devices, built-in Kotlin using Jetpack Compose. This application was also guided by the 5 phases of the Mobile-d methodology, developed with an API-Rest from Nodejs and an administrative panel in the Angular framework. Finally, the project has successfully culminated with the implementation of an innovative solution. Through a search accompanied by images for easy identification. Additionally, unique linear barcodes have been generated for each product and for each meat product based on the weight of the scale, which can be scanned at the invoicing points for an efficient collection process.