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@article{193774,
        author = {Bhavesh Rajput and Nishant Patil and Pranav Patil and Niraj Padme},
        title = {CoffeeConnect: Architecting a Context-Aware Agentic Framework for Real-Time Retail & Mobile Logistics},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {10},
        pages = {1329-1333},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=193774},
        abstract = {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.},
        keywords = {},
        month = {March},
        }