From Browsing to Buying: How AI Agents Enhance Online Shopping

Editor's note: This post is part of the AI On blog series, which explores the latest techniques and real-world applications of agentic AI, chatbots and copilots. The series also highlights the NVIDIA software and hardware powering advanced AI agents, which form the foundation of AI query engines that gather insights and perform tasks to transform everyday experiences and reshape industries.

Online shopping puts a world of choices at people's fingertips, making it convenient for them to purchase and receive orders - all from the comfort of their homes.

But too many choices can turn experiences from exciting to exhausting, leaving shoppers struggling to cut through the noise and find exactly what they need.

By tapping into AI agents, retailers can deepen their customer engagement, enhance their offerings and maintain a competitive edge in a rapidly shifting digital marketplace.

Every digital interaction results in new data being captured. This valuable customer data can be used to fuel generative AI and agentic AI tools that provide personalized recommendations and boost online sales. According to NVIDIA's latest State of AI in Retail and Consumer-Packaged Goods report, 64% of respondents investing in AI for digital retail are prioritizing hyper-personalized recommendations.

https://blogs.nvidia.com/wp-content/uploads/2025/04/NVIDIA-AI-Blueprint-for-Retail-Shopping-Assistants-Fashion-Demo-SM-202504.mp4

Smart, Seamless and Personalized: The Future of Customer Experience AI agents offer a range of benefits that significantly improve the retail customer experience, including:

Personalized Experiences: Using customer insights and product information, these digital assistants can deliver the expertise of a company's best sales associate, stylist or designer - providing tailored product recommendations, enhancing decision-making, and boosting conversion rates and customer satisfaction.

Product Knowledge: AI agents enrich product catalogs with explanatory titles, enhanced descriptions and detailed attributes like size, warranty, sustainability and lifestyle uses. This makes products more discoverable and recommendations more personalized and informative, which increases consumer confidence.

Omnichannel Support: AI provides seamless integration of online and offline experiences, facilitating smooth transitions between digital and physical retail environments.

Virtual Try-On Capabilities: Customers can easily visualize products on themselves or in their homes in real time, helping improve product expectations and potentially lowering return rates.

24/7 Availability: AI agents offer around-the-clock customer support across time zones and languages.

Real-World Applications of AI Agents in Retail https://blogs.nvidia.com/wp-content/uploads/2025/04/NVIDIA-AI-Blueprint-for-Retail-Shopping-Assistants-Furniture-Demo-SM-202504.mp4

AI is redefining digital commerce, empowering retailers to deliver richer, more intuitive shopping experiences. From enhancing product catalogs with accurate, high-quality data to improving search relevance and offering personalized shopping assistance, AI agents are transforming how customers discover, engage with and purchase products online.

AI agents for catalog enrichment automatically enhance product information with consumer-focused attributes. These attributes can range from basic details like size, color and material to technical details such as warranty information and compatibility.

They also include contextual attributes, like sustainability, and lifestyle attributes, such as for hiking. AI agents can also integrate service attributes - including delivery times and return policies - making items more discoverable and relevant to customers while addressing common concerns to improve purchase results.

Amazon faced the challenge of ensuring complete and accurate product information for shoppers while reducing the effort and time required for sellers to create product listings. To address this, the company implemented generative AI using the NVIDIA TensorRT-LLM library. This technology allows sellers to input a product description or URL, and the system automatically generates a complete, enriched listing. The work helps sellers reach more customers and expand their businesses effectively while making the catalog more responsive and energy efficient.

AI agents for search tap into enriched data to deliver more accurate and contextually relevant search results. By employing semantic understanding and personalization, these agents better match customer queries with the right products, making the overall search experience faster and more intuitive.

Amazon Music has optimized its search capabilities using the Amazon SageMaker platform with NVIDIA Triton Inference Server and the NVIDIA TensorRT software development kit. This includes implementing vector search and transformer-based spell-correction models.

As a result, when users search for music - even with typos or vague terms - they can quickly find what they're looking for. These optimizations, which make the search bar more effective and user friendly, have led to faster search times and 73% lower costs for Amazon Music.

AI agents for shopping assistants build on the enriched catalog and improved search functionality. They offer personalized recommendations and answer queries in a detailed, relevant, conversational manner, guiding shoppers through their buying journeys with a comprehensive understanding of products and user intent.

SoftServe, a leading IT advisor, has launched the SoftServe Gen AI Shopping Assistant, developed using the NVIDIA AI Blueprint for retail shopping assistants. SoftServe's shopping assistant offers seamless and engaging shopping experiences by helping customers discover products and access detailed product information quickly and efficiently. One of it

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