CoffeeConnect: Architectung a Context aware agentic framework for real time retail & mobile logistics

Digital transformation in the specialty coffee industry has largely focused on basic transactional efficiency. This paper introduces CoffeeConnect, an integrated ecosystem that leverages mobile-first design via Kivy, real-time data persistence through Firebase, and a contextual intelligence layer. By combining a weather-aware recommendation heuristic with a Natural Language Processing (NLP)-driven chatbot, CoffeeConnect bridges the gap between automated ordering and the personalized experience of a physical cafe. Our research analyzes the optimization of the order-to-delivery lifecycle and the impact of environmental context on consumer decision-making in high-frequency retail environments.