Developing the Smart Basket: Smart Shopping Basket and Shopping Behavior Analysis

Smart shopping baskets with IoT technology trans- form the retail experience by bringing efficiency, personalization, and convenience. The smart baskets are equipped with a tablet, barcode scanner, and powered by a Raspberry Pi microcomputer that allows for real-time identification of products and seamless communication with the store’s central system via Wi-Fi or Bluetooth. This combines with an IoT platform to make the management of interactions between the smart baskets and the store servers seamless, therefore making the process of shopping straightforward. The shopping basket can reflect real- time integrated update for shopping lists, and it is possible for automatic billing where wireless data transfer does away with check out lines. The predictive analytics model of the system uses the real-time data and algorithms, such as the Apriori algorithm, which optimizes its inventory management via analysis of customer shopping patterns and behavior for targeted promo- tions and personalized recommendations by reducing overstock and stockout. By addressing the frequent issues of long queues for checkout, products that customers are unable to find on the shelves, and slower service, this innovative merging of IoT and predictive analytics makes shopping intuitive, efficient, and enjoyable for customers while generating increased sales and operational efficiency in the case of retailers.