# Digital Commerce, Powered by Agentic AI ## Accelerating Digital Commerce With AI AI is fundamentally reshaping how consumers discover, shop, and transact—from the first search query to the final transaction and beyond—and retailers that move fastest will capture the most value. As shoppers increasingly expect convenience, personalization, and consistency regardless of channel, agentic AI is fueling this transformation, enabling retailers to automate complex workflows, personalize engagement, and actively manage millions of interactions in real time.  With NVIDIA NeMo™, production-ready blueprints, and Nemotron™ open models, retailers and CPG companies are advancing high-impact areas like catalog enrichment, AI-native search, AI shopping assistants, agentic transactions, retail media, and personalized marketing. The result is faster discovery, higher conversion, and new revenue streams. Explore how leading retailers are putting these capabilities to work today. #### State of AI in Retail and CPG 2026 Discover how industry leaders are using AI to drive measurable business outcomes. The latest survey reveals how retailers and CPG innovators are scaling agentic AI, advancing supply chain intelligence, and transforming productivity, efficiency, and growth. [Explore the 2026 Insights](https://www.nvidia.com/en-us/lp/industries/state-of-ai-in-retail-and-cpg.md) #### NVIDIA Blueprint for Retail Agentic Commerce This [blueprint](https://build.nvidia.com/nvidia/retail-agentic-commerce) is an open source, production-ready reference architecture that enables retailers to participate in the emerging agentic commerce ecosystem by supporting agent-to-agent communication across merchants and leading generative AI platforms. [Learn More](https://blogs.nvidia.com/blog/gtc-2026-news/#agentic-commerce-blueprint) ## Use Cases ## AI in Digital Commerce: Discover Top Use Cases #### Agentic Commerce Sell where AI agents shop. As AI platforms like ChatGPT and Gemini become primary shopping interfaces, agentic commerce enables AI agents to autonomously discover products, negotiate promotions, and complete secure checkouts on a customer’s behalf—while retailers maintain full control over pricing, payments, and compliance. The [NVIDIA Retail Agentic Commerce Blueprint](https://build.nvidia.com/nvidia/retail-agentic-commerce) is an open source, production-ready reference architecture built on the [NVIDIA NeMo Agent Toolkit](https://developer.nvidia.com/nemo-agent-toolkit). NVIDIA and OpenAI built the blueprint together, and by implementing Google’s Universal Commerce Protocol, it extends to support multiple agent ecosystems from a single deployment. Ecosystem partners like Bloomreach and leading system integrators are already building on the blueprint to deliver turnkey agentic commerce solutions for retailers. #### Catalog Enrichment Transform raw listings into rich, discoverable content. An enriched product catalog is the backbone of digital commerce. AI-driven catalog enrichment automates and scales processes like product tagging, classification, content generation, and attribute extraction—among many others—so retailers can accelerate time to market, improve search relevance, and ensure brand consistency across channels. Shopify and Amazon are using NVIDIA AI to automate and enrich product listings for their marketplace sellers—with [Shopify](https://www.nvidia.com/en-us/on-demand/session/gtc26-s81636/) generating tens of millions of predictions per day and [Amazon](https://www.nvidia.com/en-us/on-demand/session/gtc26-s81656/) cutting catalog generation costs by 50%—resulting in faster launches, smarter discovery, and measurable gains in marketplace performance. The [NVIDIA Retail Catalog Enrichment Blueprint](https://build.nvidia.com/nvidia/retail-catalog-enrichment) offers a production-ready reference workflow for retailers looking to bring these same capabilities to their own catalogs. [Learn About Catalog Enrichment](https://www.nvidia.com/en-us/use-cases/ai-catalog-enrichment.md) #### Search and Personalized Recommendations Guide every shopper to hyper-personalized, relevant results. Search sits at the heart of digital commerce, transforming enriched product data into fast, relevant, and intuitive shopping journeys. With intelligent search, every customer query—whether text, voice, or image—connects instantly to the most suitable products, tailored to personal preferences and real-time context. AI search goes beyond keywords, leveraging language and vision models to understand intent, anticipate needs, and deliver seamless experiences across every channel. Leading retailers are deploying AI-powered search for capabilities like real-time semantic retrieval, high-accuracy spell correction, and adaptive ranking—and through partners like [Bloomreach](https://www.bloomreach.com/en/products/engagement?utm_term=bloomreach&utm_campaign=Bloomreach_Brand_All_NA_EN_Search&utm_source=adwords&utm_medium=ppc&hsa_acc=5538991019&hsa_cam=21593985277&hsa_grp=168829534689&hsa_ad=765305922123&hsa_src=g&hsa_tgt=kwd-316394725153&hsa_kw=bloomreach&hsa_mt=e&hsa_net=adwords&hsa_ver=3&gad_source=1&gad_campaignid=21593985277&gbraid=0AAAAABkJODWPCcpWmJrWOggdVWK-DM847&gclid=CjwKCAiAw9vIBhBBEiwAraSATpQGzkz3keD2mubv89MkGSVwelQQnMiDi8IssKV0YUYHJzd4vvL77xoC7m8QAvD_BwE) and [Grid Dynamics](https://www.griddynamics.com/), achieving faster discovery, lower costs, and higher conversion across channels. [Learn About Search and Personalized Recommendations](https://www.nvidia.com/en-us/use-cases/hyper-personalized-shopping.md) #### Shopping Assistant Enable more personalized shopping experiences. AI-powered shopping assistants have evolved from simple chatbots into intelligent agents that deliver fast, context-aware support and recommendations wherever customers shop. Today’s assistants combine natural language understanding, visual search, real-time recommendations, and the ability to handle complex requests—like building outfits or comparing features—across desktop, mobile, and in-store channels. The [NVIDIA Retail Shopping Assistant Blueprint](https://build.nvidia.com/nvidia/retail-shopping-assistant) provides a production-ready reference architecture that enables retailers to deploy multimodal shopping advisors on their own data. System integrators like SoftServe are already building on the blueprint, letting shoppers try on products virtually and receive personalized recommendations to drive higher conversion rates and fewer returns. [Get Started on Shopping Assistant](https://build.nvidia.com/nvidia/retail-shopping-assistant) #### Retail Media Network Unlock new revenue streams and shopper engagement. Retail media networks turn retailer websites, apps, and stores into marketing platforms for third-party brands—leveraging first-party shopper data and privacy-safe targeting to reach consumers at the moment of purchase. This closed-loop approach gives retailers new high-margin revenue, brands a measurable way to boost return on ad spend, and shoppers more relevant offers. Partners like [Criteo](https://www4.criteo.com/us/growth/getting-started-with-criteo-ads/?adgroupid=153245064600&campaignid=20325381253&creative=663979385692&gad_campaignid=20325381253&gad_source=1&gbraid=0AAAAADRfZvHlAGzYmvuSKBzh-x6fLnaW7&gclid=Cj0KCQjw8PDPBhCeARIsAOJwmWVi80MZbgPCMN7seClt_MFE7XFHwB2Z1r7ojQTKvBTWP0G3-KZ3E5kaAu43EALw_wcB&utm_campaign=2025.AMER.US.PAME.SEM-MeetingRequest&utm_medium=paid-search&utm_source=google&utm_term=criteo) and [Instacart](https://www.instacart.com/?utm_medium=sem&utm_source=instacart_google&utm_campaign=ad_demand_search_brand_headterm_mixed_us_AUDACT&utm_content=accountid-1732890876_campaignid-10023670317_adgroupid-102598077042_device-c_adid-548570220442_network-g&utm_term=matchtype-e_keyword-instacart_targetid-kwd-297369219725_locationid-9061109&kskwid=1532524&ksadid=&gad_source=1&gad_campaignid=10023670317&gbraid=0AAAAADO98hYERObeznvnQmO6SbnKkYHg4&gclid=Cj0KCQjw8PDPBhCeARIsAOJwmWW54_vPXOziOyyu41uDnR6LcOtK-_kNuIoN5j2xKm_WqHsEAf3n6tkaAsm5EALw_wcB) are powering retail media across digital and physical channels. Criteo connects brands with shoppers across retailer websites and apps, while Instacart extends retail media to the store floor through its [Caper Carts](https://www.instacart.com/company/enterprise-platform/connected-stores/caper-carts?utm_medium=cpc&utm_source=google&utm_campaign=MM_Platform_Google_NB_CC&utm_content=caper%20cart&utm_term=caper%20cart&utm_id=%7Bid%7D&utm_matchtype=e&gad_source=1&gad_campaignid=20866012510&gbraid=0AAAAACgzZmnkyI9vGxGHOAQ2uU-ubhNdB&gclid=CjwKCAiAw9vIBhBBEiwAraSATk5jqoyBvnkgkBKhv4ctfvEx8mWkJJz_DaH2RmLND6DupoJXu7DVpxoCyRIQAvD_BwE)—deployed across a rapidly growing footprint including Kroger and ALDI, delivering targeted promotions on screen as customers shop. [Learn About Retail Media Network](https://www.nvidia.com/en-us/case-studies/instacart.md) #### MarTech Accelerate creative content and brand consistency. Modern marketing and advertising solutions are transforming how teams create, automate, and optimize digital content. Brands now use generative and predictive AI, digital twins, and real-time analytics to produce on-brand assets, automate localization, and personalize campaigns for every audience—reducing costs and increasing speed while maintaining creative control. [Unilever](https://www.nvidia.com/en-us/case-studies.md) applied these innovations to unify global content workflows using Omniverse™ digital twins and [Monks](https://www.monks.com/?utm_source=google&utm_medium=cpc&utm_campaign=Brand%20-%20US/CA&utm_content=monks.com&utm_term=monks&gad_source=1&gad_campaignid=14132512510&gbraid=0AAAAABRhzf_DeCAd22fyBClEsBHqXh0mu&gclid=CjwKCAiAw9vIBhBBEiwAraSATkElOIy_5QlmyUWJWN3981yNiCviSD3CE844wpP1W_j7GKFzKaH-hhoC4pMQAvD_BwE) for instant asset creation. The result: campaign assets produced twice as fast and for half the cost, with 100% brand consistency across all touchpoints and reduced duplication across teams. [Learn About MarTech](https://www.nvidia.com/en-us/use-cases/content-creation-using-generative-ai.md) ### Success Stories ## Explore the Real-World Impact [More Customer Stories](https://www.nvidia.com/en-us/case-studies.md) ## Solutions ## AI Solutions for Retail—From Data Center to Edge to Cloud Learn about the AI hardware and software for retail and consumer packaged goods (CPG). ### Go to Market Faster With Production-Ready AI Blueprints NVIDIA Blueprints are production-ready reference architectures that allow teams to customize and deploy enterprise AI in days, not months. **Featured Blueprints for Digital Commerce:** * [Retail Catalog Enrichment](https://build.nvidia.com/nvidia/retail-catalog-enrichment): Automate and refine product data at scale. * [Retail Shopping Assistant](https://build.nvidia.com/nvidia/retail-shopping-assistant): Deliver personalized, real-time customer guidance. * [Retail Agentic Commerce](https://build.nvidia.com/nvidia/retail-agentic-commerce): Power autonomous, multi-step shopping workflows. [Explore NVIDIA Blueprints](https://build.nvidia.com/) ### Deliver Intelligent, Agentic Customer Experiences AI agents are becoming the next commerce channel—discovering products, comparing options, and completing transactions on a customer’s behalf. NVIDIA NIM™ microservices and NeMo provide the full agentic AI stack, from optimized inference and model customization to agent orchestration and guardrails, deployable in the data center, cloud, or at the edge. [Explore NVIDIA NIM Microservices](https://www.nvidia.com/en-us/ai-data-science/products/nim-microservices.md) [Explore NVIDIA NeMo](https://www.nvidia.com/en-us/ai-data-science/products/nemo.md) ### Power AI Inference at Scale High-throughput, low-latency inference is essential for real-time search, recommendations, and agentic workflows at retail scale. NVIDIA Dynamo and TensorRT™ LLM optimize model serving for maximum performance, enabling retailers to serve millions of AI-powered interactions while reducing infrastructure costs. [Explore NVIDIA Dynamo](https://www.nvidia.com/en-us/ai/dynamo.md) [Explore NVIDIA TensorRT LLM](https://nvidia.github.io/TensorRT-LLM/) ### Accelerate Creative Production With Digital Twins NVIDIA Omniverse lets brands and retailers build physically accurate 3D digital twins of products, packaging, and retail environments—then use them to generate photorealistic creative assets, test designs, and localize campaigns at scale without costly physical shoots. [Explore NVIDIA Omniverse](https://www.nvidia.com/en-us/omniverse.md) ## FAQs About AI-Powered Digital Commerce Solutions ### What is agentic AI and how is it used in digital commerce? Agentic AI refers to intelligent agents that can automate complex, multistep workflows, actively manage millions of real-time interactions, and personalize customer engagement without human intervention. In digital commerce, this technology is fueling the transformation of shopping through automated catalog enrichment, intelligent search, and autonomous transactions, resulting in faster discovery and higher conversion rates. * The [State of AI in Retail and CPG 2026](https://www.nvidia.com/en-us/lp/industries/state-of-ai-in-retail-and-cpg.md) survey reveals how industry leaders are scaling agentic AI to drive measurable business outcomes. ### What is the NVIDIA Retail Catalog Enrichment Blueprint? The NVIDIA Retail Catalog Enrichment Blueprint is a production-ready reference architecture that uses generative AI to transform raw product data into rich, sellable content—automating descriptions, attribute tagging, lifestyle imagery, and multi-angle product views from a single source photo. This reduces the time and cost of catalog management while improving content quality and consistency across channels. * Read about how the blueprint [delivers localized, interactive product experiences](https://developer.nvidia.com/blog/build-an-ai-catalog-system-that-delivers-localized-interactive-product-experiences/) using AI. * Explore the workflows and code samples for the [NVIDIA Retail Catalog Enrichment Blueprint](https://build.nvidia.com/nvidia/retail-catalog-enrichment). ### What is the NVIDIA Retail Shopping Assistant Blueprint? The NVIDIA Retail Shopping Assistant Blueprint is a production-ready reference architecture that enables retailers to deploy multimodal AI shopping assistants capable of understanding both text and image inputs. These assistants go beyond standard chatbots by handling complex requests—comparing features, building outfits, answering contextual product questions—all grounded in the retailer’s own catalog data, across desktop, mobile, and in-store channels. * Read the official announcement on how the blueprint [transforms shopping experiences online and in stores](https://nvidianews.nvidia.com/news/nvidia-announces-blueprint-for-ai-retail-shopping-assistants). * Retailers can deploy multimodal shopping advisors on their own data using the [NVIDIA Retail Shopping Assistant Blueprint](https://build.nvidia.com/nvidia/retail-shopping-assistant). ### What is the NVIDIA Retail Agentic Commerce Blueprint? The NVIDIA Retail Agentic Commerce Blueprint is an open source, production-ready reference architecture designed to help retailers participate in the emerging agentic commerce ecosystem. This blueprint supports agent-to-agent communication across merchants and leading generative AI platforms, enabling autonomous shopping agents to complete secure checkouts on a customer’s behalf while the retailer maintains control. * The [NVIDIA Retail Agentic Commerce Blueprint](https://build.nvidia.com/nvidia/retail-agentic-commerce) is a production-ready reference architecture built on NVIDIA technologies for developers. * [Learn More About Agentic Commerce](https://blogs.nvidia.com/blog/gtc-2026-news/#agentic-commerce-blueprint) in a corporate blog post that provides more details on the announcement and purpose of the agentic commerce blueprint. ### What is a Retail Media Network (RMN) and what new revenue streams does it unlock? A retail media network transforms a retailer’s owned digital and physical properties into marketing platforms for third-party brands. This closed-loop approach leverages first-party shopper data for privacy-safe targeting at the moment of purchase, generating new high-margin revenue for the retailer and boosting the return on ad spend for brands. * Retailers can look for more technical deep dives on industry solutions within the [NVIDIA Technical Blog Posts](https://developer.nvidia.com/blog). ### How does the concept of ‘digital twins’ apply to the retail marketing and advertising space? In retail, digital twins—physically accurate 3D models of products and environments—are used to instantly generate photorealistic creative assets, test designs, and localize campaigns at scale without costly physical shoots. This method ensures 100% brand consistency and significantly reduces the time and expense associated with traditional creative production. * The concept is explored in the context of unified global content workflows in this [Unilever](https://www.nvidia.com/en-us/case-studies/unilever.md) case study. ### What are NVIDIA NIM microservices and NeMo, and how do they enable agentic customer experiences? NVIDIA NIM microservices and NeMo provide the full agentic AI stack, including optimized inference and model customization, agent orchestration, and guardrails for deployment in the data center, cloud, or at the edge. These tools are essential for managing a new commerce channel where AI agents are discovering products, comparing options, and completing transactions autonomously. * Learn about the optimized inference and model customization features in [NVIDIA NeMo](https://www.nvidia.com/en-us/ai-data-science/products/nemo.md). * Discover how [NVIDIA NIM microservices](https://www.nvidia.com/en-us/ai-data-science/products/nim-microservices.md) provide the full agentic AI stack for deployment in various environments. ### Which key NVIDIA tools are used to power high-throughput, low-latency AI inference at retail scale? NVIDIA Dynamo and NVIDIA TensorRT LLM optimize model serving for maximum performance, which is critical for real-time search, recommendations, and agentic workflows at a massive scale. By optimizing model serving, these tools help retailers serve millions of AI-powered interactions while reducing infrastructure costs. * [NVIDIA Dynamo](https://www.nvidia.com/en-us/ai/dynamo.md) helps optimize model serving for maximum performance and cost efficiency. * Explore how to optimize large language models for faster inference using NVIDIA [TensorRT LLM](https://nvidia.github.io/TensorRT-LLM/). ## Catch Up on the Latest Industry News [More Industry News](https://blogs.nvidia.com/blog/tag/retail/) ## Partners ## NVIDIA Partners for Retail Our solutions for the retail industry go beyond products. Our partners are here to assist your organization at every level to build and execute transformative AI strategies, products, and services. 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