Juniper Research predicts retailers will spend $7.3 billion on AI by 2022, compared with the approximately $2 billion spent in 2018.
Caper Introduces Smart Shopping Cart
Brooklyn, New York-based retail technology vendor Caper has developed a smart, self-checkout shopping cart that uses computer vision, sensor fusion, and three cameras to automatically ring up items placed in the cart.
Spoon Guru Uses AI to Help Shoppers With Food Allergies
Food search and discovery engine Spoon Guru offers a mobile app that uses AI to help allergy sufferers spot the products in a store that contain ingredients compatible with their needs
Ocado Uses Google Cloud ML to Handle Customer Complaints
UK-based online grocer Ocado is using machine learning (ML) powered by the Google Cloud Machine Learning Engine to increase the speed of analytics from shopping data and boost customer experience. When customers write to Ocado with complaints, Ocado can use a ML model to sort through and categorize incoming messages, Google Cloud’s Pillai said.
Heasy the Robot Points Customers in the Right Direction
Digital kiosks have existed in places like airports, shopping malls, and train stations for years, but now companies such as Hease Robotics are making them a bit more mobile. The company says mobile kiosks will bring 20 times more interactions than a stationary kiosk. Hease Robotics is producing 20 “Heasy” robots per month, according to Jade Le Maitre, co-founder and Chief Technology Officer (CTO) of Hease Robotics. The company has deployed Heasy the robot in retail locations in countries such as Denmark, France, and Germany.
Intel Powers Cashier-Free Stores
Amazon is a leading player in the growing trend of cashier-less retail stores and reportedly plans to open 3,000 new cashier-less grocery locations by 2021. Customers can grab the items for which they’re looking and leave stores without going to a checkout counter. In another innovative implementation, Cloud Pick and Intel are collaborating on cashier-less stores in China that incorporate automated door access, cameras, and computer vision to let customers check out without a cashier’s help.
AWM Smart Shelf Pushes Targeted Product Information
Smart shelves are another technology that could keep customers interested in visiting brick-and-mortar stores. One such product, the AWM Smart Shelf, features LED displays and targeted product information. Cameras gather data on shopper behavior and demographics to personalize the videos it displays. AWM can customize the videos according to age, gender, or ethnicity. The AI components keep track of shelf availability within a store.
Celect ML Helps Stores Predict Inventory Demands
Lucky Brand is among the retailers turning to ML and advanced analytics to optimize their allocation of merchandise in their stores. Celect’s Prediction & Optimization Platform makes this possible with its data modeling and prediction database. Powered by AI technology from the Massachusetts Institute of Technology’s Computer Science and Artificial Intelligence Laboratory, the Celect platform helps retailers such as Lucky Brand by pulling data from its customer relationship management (CRM) data and sales transactions.
Zone24x7 Aziro Robot Takes Inventory Counts in Stores
Large department stores are testing a robot called Aziro from
Zone24x7. It features an autonomous sensing system that uses radio frequency identification (RFID) to check shelf inventory. Zone24x7 says that RFID can help increase the accuracy of inventory counts and improve the ability to locate items within a store. In addition to a store showroom, the Aziro robot will be used in warehouses and distribution centers.