> **来源：[研报客](https://pc.yanbaoke.cn)** ```markdown # Retail 2026: 10 Trends in Retail Technology Summary ## Core Content Overview This report outlines the 10 key technologies expected to shape retail in 2026, categorized into **Agentic AI** and **In-Store Technology**. These innovations are driven by the rapid advancement of AI and its integration into various retail functions, from customer experience to supply chain management. ## Main Trends and Key Insights ### Agentic AI 1. **We Have Now Entered the Agentic Commerce Age** - AI chatbots now support checkout functionality. - Retailers like Etsy, Shopify, and Walmart are integrating agentic commerce platforms. - Shoppers can make purchases directly through chatbots, enhancing convenience and personalization. 2. **Agentic AI Reduces Reaction Time in Supply Chain Management** - AI agents can predict disruptions, forecast outcomes, and suggest optimal actions. - This leads to faster decision-making and improved efficiency in supply chain operations. 3. **Robots and AI Agents Enhance Warehouse Management** - AI-powered simulations and robotics are transforming warehouse operations. - Humanoid robots and collaborative systems are being used for tasks like inventory management and incident resolution. - NVIDIA and Intel are key players in enabling AI-driven warehouse solutions with real-time data processing. 4. **Agentic AI Enables Hyper-Personalization at Scale** - AI agents can analyze shopper data and deliver personalized messages. - This builds on GenAI's ability to generate content and insights, making personalization more accessible and effective. ### In-Store Technology 5. **Sensors and AI Enable In-Store Retail Media Attribution** - Retail media in physical stores is becoming more measurable and effective. - AI helps link shopper behavior with in-store ads, providing better ROI for advertisers. 6. **Real-Time Inventory Tracking via Multiple Technologies** - Autonomous robots, fixed cameras, and RFID tags are used for accurate inventory management. - This helps avoid out-of-stocks and improves operational efficiency. 7. **Associate AI Handhelds Improve In-Store Operations** - Mobile computers with AI capabilities empower store associates. - These devices use GenAI and computer vision to assist with shelf management and customer service. 8. **Intelligent Checkout Kiosks Reduce Friction and Loss** - AI-powered checkout systems speed up the transaction process. - They also help in loss prevention by detecting anomalies and improving security. 9. **Distributed Computing Power is Essential for AI Integration** - AI needs to be processed at the edge (on devices) and in the cloud. - This ensures real-time performance and reduces latency in retail operations. 10. **Sensors Improve the Customer Experience** - Advanced sensors and AI collect rich in-store data. - This enables a seamless omnichannel experience and deeper insights into customer behavior. ## Key Technologies and Their Impact - **Agentic AI** is revolutionizing how retailers interact with customers and manage operations. - **Computer Vision (CV)** and **RFID** are critical for inventory tracking and in-store analytics. - **AI-based simulation** is enabling more accurate predictions and optimizations in warehouse management. - **In-store retail media** is becoming more effective with data-driven attribution and personalized advertising. ## Tailwinds and Headwinds ### Tailwinds - Continued economic and retail sales growth - Permanent competitive environment driving innovation - Agentic AI automating routine tasks and optimizing workflows - Alternative revenue streams such as retail media and data monetization ### Headwinds - Persistent inflation and weak consumer confidence - Risks of making incorrect technology investments - Increased AI investment potentially reducing funds for other technologies - Challenges in adopting, regulating, and developing AI skills within organizations ## Conclusion The retail industry in 2026 is poised for transformation through agentic AI and in-store technologies. These innovations enhance customer experience, optimize operations, and enable data-driven decisions. Retailers must ensure that these systems are integrated and work together to maximize value. The future of retail lies in intelligent automation, real-time data processing, and seamless omnichannel engagement. ```