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@article{186878,
        author = {Sanket Lende and Dayanand  Londhe and Sudhanshu Lohar and Yogesh Pawar and Aditya Lande and Om Lende and Dev Lohiya},
        title = {Smart Shopping System and Product Recommender},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {6},
        pages = {7579-7584},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=186878},
        abstract = {With the fast-growing development of e-commerce as well as smart shopping technology, intelligent product recommendation has resulted. These systems are based on machine learning, artificial intelligence, and analysis of user behavior, resulting in an improved shopping experience. In this paper, there will be considered the main components and methodologies as well as future improvements concerning smart shopping systems with particular relevance to modern retail environments. The discussion also revolves around the effects of AI-enabled recommendations on consumer decision-making, the big data utilized for improving product suggestions, and ethical issues in recommendation systems regarding data privacy.},
        keywords = {},
        month = {December},
        }