AI-Powered Intelligent Retail Stores

Virtual worlds are essential for the next era of retail. Retailers such as Lowe’s are exploring how NVIDIA Omniverse™ can help them improve their stores with digital twins, simulation, and advanced tools that remove friction for customers and associates.

Intelligent grab-and-go stores, where customers use their mobile phones to check out, are jumping in popularity. Solutions range from AI-enabled shopping carts, to nano stores and smart cabinets, to fully autonomous stores. With these solutions, retailers can provide customers with frictionless and faster shopping experiences, while increasing revenue and margins. 

Online-shopping data and in-store data generated from point-of-sale transactions, cameras, and sensors are rife with insights that help determine customer preferences. IVA data can provide demographics and create heatmaps to reveal popular traffic areas inside stores.

Retailers are using this data to better understand customer behavior and buying preferences, deliver revenue-driving online and in-aisle promotions, and create enhanced shopping experiences.

When U.S. consumers are confronted with empty shelves, 20 percent postpone their purchase, 10 percent purchase the item elsewhere, and 16 percent shift to an online source, leading to retailers losing 46 percent of possible sales. 

Large retailers are using AI to handle critical, repetitive tasks such as inventory counts or scanning for out-of-stock situations. NVIDIA Metropolis can scan items to check stock levels and alert associates to restock, correct shelf location, and even adjust prices when needed.