Enhancing Shopping Experience with Raspberry Pi and Cloud-Integrated Wireless Sensor Networks for Smart Trolleys in IoT

Rapid advances in Internet of Things (IoT) technology have opened new doors for retail and other businesses. The system suggests using Raspberry Pi and cloud-integrated wireless sensor networks to construct smart trolleys to improve shopping. Traditional shopping experiences without real-time product availability, price, and tailored suggestions cause inefficiencies and customer discontent. Our approach incorporates IoT-enabled technology into shopping carts and gives them intelligence and connection. Our concept involves integrating wireless sensor networks into the retail experience with a Raspberry Pi. Raspberry Pi is the smart trolley's cloud hub. This allows information exchange, observation, and smart independent direction. Our system uses the cloud basis to acquire and manage stock data sets, client profiles, and continual sensor input to tailor shopping experiences. Advanced data analytics produce individualized suggestions, alert customers about product availability, and deliver targeted discounts based on a customer's tastes and prior data. Smart trolley wireless sensors provide automated item recognition, amount tracking, and real-time perishable commodities monitoring. This ensures accurate billing, shortens checkout, and reduces stockout risk. The system is extensively tested and evaluated our suggested system's efficiency and efficacy. Sales increased, shopping times decreased, and customer happiness increased. Our solution's flexibility also considers easy retail framework integration. This research study gives a complete framework for improving shopping with Raspberry Pi and cloud-integrated wireless sensor networks for smart trolleys in the Internet of Things. The solution overcomes conventional shopping system difficulties, creating a more customized, efficient, and engaging retail environment.