AI agents could change how consumers search, compare and purchase products.
Smart stores will increasingly combine sensors, AI, automation and connected systems.
Robotics, AR and computer vision could reduce friction across retail operations.
Retail is entering a new phase as artificial intelligence, computer vision, connected stores and automated commerce become more deeply integrated into shopping. The shift is no longer limited to online marketplaces. Physical stores are also adopting technologies to improve inventory management, personalize shopping, and reduce checkout friction.
Current 2026 research from Deloitte, Gartner, McKinsey, NRF, KPMG and Intel points to several technologies that could shape the smart retail landscape in 2027.
AI agents are emerging as a new retail channel. These systems can search for products, compare prices, and build shopping baskets, and could eventually complete purchases on consumers' behalf.
Deloitte says retailers will need to prepare their product data and technology systems for this shift. As AI agents take on more shopping tasks, retailers may increasingly need to make product information accessible to systems that make purchasing decisions for customers.
Artificial intelligence is also playing a growing role in how retailers tailor recommendations, promotions and customer experiences.
Deloitte's 2026 retail outlook found that 67% of surveyed retail executives expected AI-driven personalization capabilities within the following year. The technology is being positioned as a way for retailers to deliver more relevant experiences based on customer behavior and preferences.
Computer vision is becoming another important part of the smart-store technology stack. Retailers can use camera-based systems to monitor shelves, understand customer behavior, automate checkout, and identify potential losses.
The technology could help stores respond to situations in real time while reducing manual monitoring for routine retail operations.
Systems that incorporate RFID can detect multiple items simultaneously and provide better item-level inventory information.
RFID can offer retailers a more efficient way to track products than traditional barcode scanning. The technology may help them track stock levels, restocking, and checkout faster without relying as heavily on barcodes.
Smart carts may also become a focus for retailers as a way to minimize friction at checkout.
Smart carts use a combination of tools like sensors, displays, payment options, and AI to help customers navigate the store without necessarily going through checkout counters.
Gartner mentions this as one technology retailers should consider.
The growing number of cameras, sensors, AI systems, and connected devices inside stores is increasing demand for faster data processing.
Edge computing processes data closer to where it is generated, potentially reducing latency and supporting real-time decisions. Intel and Comcast identify edge computing as an important part of connected retail infrastructure.
For retailers, this could become increasingly relevant as stores deploy more technologies that need to analyze information immediately rather than sending every data point to distant systems.
Robots and smart automation are starting to show up outside of warehouses and in more retail work. You can see them in daily store tasks, like tracking stock, plus other front-line jobs.
Gartner thinks robots and drones will be used more often in different companies. That means stores may start using self-directed systems more widely over the next few years.
Augmented reality could also play a larger role in shopping. AR lets consumers visualize products, try items virtually, or see how products fit into their surroundings before buying.
Shopify identifies 3D and AR shopping experiences as an important part of retail's digital transformation, particularly as retailers look for ways to bridge digital and physical shopping experiences.
Also Read: How AI Shopping Assistants Help Users Compare Products
The traditional distinction between online and offline shopping is becoming less important as retailers connect inventory, customer data, fulfillment and store experiences.
McKinsey expects physical stores to increasingly focus on fulfillment, convenience, product validation and differentiated experiences. This could shift stores from places where customers make purchases to connected parts of a wider retail network.
Retailers are letting AI systems do more on their own. That shift makes security, privacy, and clear rules more important. NRF has pointed to dangers tied to agentic AI. KPMG also calls out governance gaps, split-up tech platforms, and cyber risk as key roadblocks for wider AI use in retail.
So, heading into 2027, buying new tech will not be only about plugging in AI tools. Retailers will need back-end systems and guardrails. These must handle the security and privacy issues that come with stores that stay more connected.
Overall, these changes suggest a retail world where AI, automation, connected systems, and physical locations continue to blend. Each retailer may choose different tools. Still, the trend is the same. More tasks get automated, shoppers may get more tailored help, and there should be less hassle at the point of sale.
What are the biggest smart retail trends for 2027?
AI agents, smart carts, computer vision, RFID, robotics, augmented reality and connected stores are expected to shape retail experiences.
How could AI agents change shopping?
AI agents could search products, compare prices, build shopping baskets and eventually complete purchases for consumers automatically.
What role will computer vision play in retail?
Computer vision can monitor shelves, understand customer behaviour, support automated checkout and help retailers identify potential losses.
Why are smart carts becoming important?
Smart carts combine sensors, displays, payment systems and AI, helping shoppers navigate stores while potentially reducing checkout friction.
Will physical stores remain important in 2027?
Yes. McKinsey expects stores to increasingly focus on fulfilment, convenience, product validation and differentiated shopping experiences.