With no need for staff, a clerk-free store would provide an automated shopping experience based on machine-learning and artificial intelligence solutions.
Behind every grocery shopping list lies a set of implicit decisions and preferences ranging from financial to environmental, sentimental, and/or nutritional factors. Feeding machine learning and artificial intelligence solutions with data about our choices and preferences, especially those present in social media feeds, could make shopping for food a simpler and more personalized experience.
By using technology to keep track of products, identify consumers, grant access and receive payments, a human-free shopping experience could become a reality. Low energy Bluetooth, Wi-Fi, and location services would help detect a person's identity, reduce waiting in line and decrease expenses from lower staffing requirements. Products could alternatively be purchased normally and taken home directly from the store or simply scanned on the shelves for delivery at a convenient location for the consumer.
In addition, this type of store would recognize the balance of our nutritional needs and find the best deals while also possibly removing the need to go shopping altogether by facilitating automated fresh grocery deliveries.
By connecting an app with customer purchase history and smart fridge, it might be possible to automatically deliver products as they are consumed or even before customers realize the product was missing. Nevertheless, for those who find the shopping experience enjoyable, it will still be possible to enter the store, chose the products and leave, with all payments automatically processed by sensors that recognize the selected products and add them to the online shopping cart.
Internet of Things