In 2018, Amazon introduced a technology in a retail store that may eliminate the need for cashiers. This technology uses computer vision, deep learning and sensor fusion to determine who bought which products. For this to work, there are three problems that must be solved. Firstly, customers have to be identified and tracked throughout the store, such that the system is able to solve the “who” part of the who bought which products question. Secondly, the technology has to track when a product is taken. This can be done by cameras or sensors that monitor the weight of the shelf. Lastly, the data of where the customer is and when a product is taken must be combined in order to determine who buys which products.
As said before, this eliminates the need for cashiers and greatly increases the speed at which customers can do their groceries. This eliminates one of the largest pains from customers; waiting in line. There is another way this technology adds value for businesses. Since customers need an account to enter the store, the retailers can obtain detailed customer data. This enables businesses to offer more effective promotions and enhance their product offerings.
However, we need to take into account the social effect of this, and similar, technologies. In the US alone there are 3.29 million food retail cashiers (!). When this technology will be adopted by more and more stores, the need for cashiers disappears. While some of the workforce will be able to transition to other jobs, most have low or no education, reducing the chances that they are able to find suitable jobs in the future. This poses a large ethical decision for a food retail company (or any retail company where this technology can be implemented for that matter); do we implement the technology and increase business value and reduce costs, but lay of a large part of our workforce, or do we continue our current strategy?
https://www.theverge.com/2018/9/17/17869294/amazon-go-store-chicago-cashier-less