Automated Shopping Cart Using RFID with a Collaborative Clustering Driven Recommendation System

Abstract

Recent advancements in technology have seen a significant reduction in human intervention. New technologies are introduced to replace outdated conventions where emphasis is put on the incorporation of Artificial Intelligence and Automation in our daily lives. With the current COVID-19 pandemic, reducing human interaction in everyday actions has now been deemed necessary. One of the most important sectors affected, the shopping industry, needs to adapt to meet government and social security standards. This paper addresses a Smart Shopping Cart System where the entire shopping experience is automated and handled by the customer. It details a more efficient online mode of shopping which not only reduces the need for hands-on staff but also provides specialized recommendations to users using collaborative clustering to update the shopping experience and meet the demands of our time. The current shopping system has many limitations, and introduction of Radio-frequency identification (RFID) technology as the core identification mechanism can prove useful for applications such as security, safety and inventory management.