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Create a fully integrated experience across multiple touchpoints, including brick-and-mortar stores, web, and mobile devices. Why? Seventy-three percent of customers use more than one channel and one device during a single shopping journey. By harnessing the power of AI, retailers can offer an omnichannel customer experience that increases cart size and builds brand affinity.
Learn about the most important AI use cases for intelligent stores.
Retailers are using Apache Spark for price optimization, customer segmentation, personalization, and more. Watch this webinar to learn how NVIDIA can help retailers run workloads 5X faster with up to 4X cost savings.
Boost sales and customer loyalty.
AI-powered recommender systems can drive shopper actions and improve conversion by offering relevant products and content at the most opportune moments across channels. This includes customer interactions on ecommerce sites, social media, email, mobile apps, and more.
Retail industry leaders like ASOS and Walmart are harnessing the power of AI to offer hyperpersonalized customer experiences and real-time recommendations that both increase cart size and build brand affinity.
NVIDIA data scientists created NVIDIA Merlin™, a collection of libraries, methods, and tools to streamline the building of recommender systems.
Quickly create new content with generative AI.
Generative AI enables users to quickly generate new content based on a variety of inputs. Inputs and outputs to these models can include text, images, sounds, animation, 3D models, or other types of data.
Retailers can leverage generative AI, particularly for ecommerce content, marketing advertisements, customer service responses, and more. Watch this video to learn more about how retailers are using generative AI.
Enhance customer engagement with conversational AI.
Conversational AI applications—such as virtual assistants, digital humans, and chatbots—are paving a revolutionary path to personalized, natural human-machine conversations. But they face strict accuracy and latency requirements.
With NVIDIA’s conversational AI solutions, developers can quickly build and deploy cutting-edge models that deliver the high accuracy and quick responses needed for real-time interactions.
Detect threats faster.
Retailers experience more data breaches than any other industry. As cybersecurity threats continue to escalate and diversify, organizations need to build stronger, smarter security. Watch this webinar to hear how retailers can bring a new level of informational security.
Improve search and recommendations.
Retailers are using next-generation computer vision to recognize image attributes and automatically generate meta-tagging and cataloging for search and recommendation results. This comprehensive information about products and services results in successful recommendation personalization.
We aim to provide our customers with the best shopping experience. Our catalog contains over 150,000 products with 100 items being added every week. To ensure we can offer personalized recommendations at scale, we leverage machine learning for high-quality recommendations throughout the customer journey.
— Rick Bruins, Machine Learning Engineer, ASOS
NVIDIA Triton™ exposes easy-to-understand metrics to monitor model response time. Triton is very easy to work with. Triton documentation is easy to understand. So, we chose Triton for hosting our recommendation models in production.
— Neha Patel, Machine Learning Engineer, ASOS
Kroger uses conversational AI in the form of chatbots in various aspects of the customer experience. For example, when a customer calls into our call center, our chatbot greets them and helps them resolve common issues. Again, when a customer arrives to pick up their order, we use AI to route customer arrival notices to the right associate.
— Victoria Uti, Director, Principal Research Engineer, Kroger
Pricing optimization helps to predict the impact of the changes in price, the likely demand at those prices, and the best recommendations to choose from. AI can play a vital part in the process where, traditionally, maybe a merchandiser would have to review every single pricing recommendation that’s being made across thousands of stores and potentially millions of products.
— Rob Armstrong, Director of Data Science, Tesco
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Learn more about how NVIDIA AI is bringing leading-edge technology to our everyday retail experiences.
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Learn how to build and execute end-to-end, GPU-accelerated data science workflows that let you quickly explore, iterate, and move your work into production. In this self-paced lab, you’ll learn how to use NVIDIA RAPIDS™ accelerated data science libraries to perform data analysis at scale with a wide variety of GPU-accelerated algorithms.
Learn how to develop and deploy the NVIDIA digital fingerprinting AI workflow that enables 100 percent data visibility and drastically reduces the time to detect threats. You’ll hear from cybersecurity experts from a variety of institutions about how to use NVIDIA AI frameworks and tools to architect cybersecurity solutions.
Develop the skills you need to do your life’s work in AI, data science, and more. The NVIDIA Deep Learning Institute (DLI) offers hands-on training in AI, accelerated computing, and accelerated data science.
Listen to this Omni Talk Spotlight podcast about what generative AI is and how retailers can leverage it, particularly in ecommerce content generation, customer service responses, and employee productivity.
Connect with millions of like-minded developers and access hundreds of GPU-accelerated containers, models, and SDKs—all the tools necessary to successfully build apps with NVIDIA technology—through the NVIDIA Developer Program.
Evolve your startup with go-to-market support, technical expertise, training, and funding opportunities.
Learn about the AI hardware and software for retail and consumer packaged goods (CPG).
With RAPIDS, processes that took days take minutes, making it easier and faster to build and deploy value-generating models. Retailers are using it to provide personalized recommendations with NVIDIA Merlin.
The AI models powering generative AI are called large language models (LLMs), and they work by learning from vast amounts of data from multiple sources to produce new content. Retailers are using generative AI for ecommerce content generation, marketing assets, customer service responses, product design, and employee productivity.
Retailers experience more data breaches than any other industry—44 percent of retailers experienced a ransomware attack in 2021. As cybersecurity threats continue to escalate and diversify, organizations need to build stronger, smarter security.
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.
Our experts can help your business unlock potential and unleash innovation.
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