Mobile Application for the Intelligent Management of Small Shops using the GPT-4 Model

Sakuda G.; Leon J.; Rojas R. · Proceedings of the 2024 IEEE 4th International Conference on Advanced Learning Technologies for Education and Research, ICALTER 2024 (2024) · DOI: 10.1109/icalter65499.2024.10819203

Resumen

Small shops and retail stores in Peru face significant challenges in efficient management due to limited access to technological resources, often relying on error-prone manual processes. This study presents the development of a mobile application powered by the GPT-4 model, designed to provide personalized recommendations and optimize key operations such as inventory management and sales forecasting. By leveraging GPT-4's advanced natural language processing capabilities, the application acts as an intelligent assistant, enabling shop owners to make informed decisions, automate routine tasks, and enhance business performance. Key features include product and sales management, dashboards, personalized recommendations, alerts, and other operational tools. A survey conducted with 15 shop owners revealed positive results, with over 66.7% rating the application between 4 and 5 on a Likert scale (1-5), indicating its effectiveness in improving small shop management with the support of GPT-4.

Instituciones: Universidad Peruana de Ciencias Aplicadas