Key Technological Advancements in Retail
In the not so distant future year 2025, there lives a robotic engineer named Jenny. Her house is completely run by a house monitoring robot called GENIE. Jenny's house is equipped with a lot of smart common items, such as a smart refrigerator and smart cupboards. Jenny woke up and was made ready by her house robot, which gave her a bath and prepared her breakfast. Like everyone else in the year 2025, Jenny works from her home office, which is upstairs. She moves upstairs to take an early morning conference call with her robot boss from her home office. She does not have to worry about ordering common household items and food since her entire house is smart and connected to her house monitoring robot. Her smart refrigerator creates a list of items that are getting exhausted, like butter, cheese, jam, etc. The machine learning application inside the smart refrigerator uses sensors and images to check on the number of items which need reordering. In this age, the smart refrigerator talks to Jenny and finds out her preferences for a new product, which she orders for herself. Based on this feedback, the refrigerator remembers and removes the things from the reordering list that Jenny does not like. Her house has smart cupboards that have smart containers for each common product, a separate smart jar for coffee beans, salt, sugar, etc. Smart containers weigh the quantity that is stored in them and flash an alert to the smart cupboard when they reach a perfect reorder threshold weight inside them. These tools aggregate all the orders at the end of the week and send them to the house GENIE. The house GENIE collect the orders from the smart refrigerator the smart cupboard and other such devices and then shows the complete order to Jenny. The house GENIE also finds out from the internet the current offers and discounts that are available for each of the products to be ordered and shows Jenny the cost savings that she can have by selecting them. After the house GENIE reports the order list, it takes voice feedback from Jenny and makes modifications to the order and then places it. In this new modern world, all the retail stores have their own marketing robots that connect to the house monitoring robots and take orders. Drones are used by the retail stores to make home delivery of products. The items arrive at Jenny's home, and the house robot takes delivery after checking all the items through visual inspection—another use of visual machine learning. The biggest advantage for Jenny is that she does not have to be involved in mundane tasks, and the robots carry them out with efficiency. This is how the retail industry is going to change our society in the future..