AI and ML in Retail: IoT Sensors and Augmented Reality for Competitive Strategies Using IoT and Linear Regression

The retail business is now seeing a paradigm change in customer expectations and purchasing habits as a direct result of the current age of digital revolution. This study investigates the confluence of sensors connected to the Internet of Things (IoT) with augmented reality (AR) technology to develop more immersive and individualized shopping experiences. Real-time data on inventory levels, product information, and customer activity may be gleaned through IoT sensors strategically placed throughout retail establishments. Augmented reality superimposes this data into the consumers' field of vision, providing individualized suggestions, interactive product information, and improved navigation. This research analyzes the influence that the Internet of Things and augmented reality will have on customers and merchants, focusing on usability, privacy, and data security concerns. The purpose of this research is to understand how this novel technique may provide competitive benefits by enhancing consumer interaction, enhancing inventory management efficiency, and optimizing shop layouts. This study prepares the way for a new age of consumer-centric shopping that is both immersive and efficient, and it does so by laying the groundwork for the evolution of conventional retail locations into digitalized ones.