Google Cloud has announced a new suite of AI-powered solutions aimed at transforming the retail industry, addressing issues such as rising costs, supply chain disruptions and growing consumer demand for personalized shopping experiences. Advances unveiled ahead of the retail industry’s largest event, NRF 2025, include generative artificial intelligence integration, improved search capabilities and tools to enhance the customer experience in physical and digital storefronts.
AI agents are redefining retail operations
At the forefront of these innovations is Google Agentspace, a platform that integrates AI agents, Gemini’s advanced thinking, Google quality search and enterprise data to streamline retail operations. Retailers can now more efficiently access relevant information by using natural language queries to instantly find product details or transactional information.
“AI agents are no longer a futuristic concept; they are today’s reality, transforming customer experiences from browsing to buying and beyond,” said Carrie Tharp, vice president of Global Solutions & Industries, Google Cloud.
Other tools in Google Cloud’s retail portfolio include Vertex AI Agent Builder, which allows retailers to deploy custom AI agents, and NotebookLM for the enterprise, designed to increase employee productivity by increasing access to enterprise data.
Advanced Search with Vertex AI for Trading
Google Cloud leverages its search experience with Vertex AI Search for Commerce, which integrates generative artificial intelligence to deliver improved product discovery and recommendations to retailers. A key feature, conversational commerce, enables natural, human-like interactions between customers and digital assistants, helping shoppers locate products or receive personalized offers.
After retailers like Bed, Bath & Beyond implemented Google Cloud’s conversational commerce solutions, the company has already reported benefits, with a 5% improvement in revenue per visitor.
Enhancing product information with Gen AI catalog enrichment
Accurate product information is essential to increase sales and customer satisfaction. Google Cloud’s Gen AI Catalog and Content Enrichment improves product information using multimodal AI models such as Gemini 1.5 Pro and Imagen 3. These models help retailers refine product descriptions, attributes and visuals, resulting in more engaging and accurate product catalogs for digital channels.
The solution also leverages multi-agent workflows to streamline product launch, empowering retailers to deliver richer search results, improved personalization and higher conversion rates.
Connected Store Solutions for Omnichannel Retail
Google Cloud’s connected store solutions aim to integrate data, insights and AI to improve in-store experiences and operational efficiency. Tools like Google Distributed Cloud and BigQuery support infrastructure and data needs, while Veo and Imagen 3 offer advanced image-to-video and text-to-image generation capabilities.
Retailers can use these tools to bridge the gap between online and in-store shopping by providing customers with instant access to product information and dynamic media experiences on mobile devices.