Google Cloud announced a series of new AI-driven solutions aimed at transforming the retail industry, addressing challenges such as rising costs, supply chain disruptions, and growing consumer demand for personalized shopping experiences. . Announced ahead of NRF 2025, the retail industry’s biggest event, the advancements include tools to integrate generative AI, improve search functionality, and enhance the customer experience in physical and digital stores. .
AI agents redefine retail operations
At the forefront of these innovations is Google Agentspace, a platform that combines AI agents, advanced inference from Gemini, Google-quality search, and enterprise data to streamline retail operations. Retail employees can now quickly find product details and operational data using natural language queries and access relevant information more efficiently.
“AI agents are no longer a futuristic concept; they are a reality today, transforming the customer experience from browsing to purchasing and beyond,” said Carrie, vice president of Global Solutions & Industries at Google Cloud. Tharp said.
Other tools in Google Cloud’s retail portfolio include Vertex AI Agent Builder, which enables retailers to deploy custom AI agents, and Vertex AI Agent Builder, which enables retailers to deploy custom AI agents and improves employee productivity by increasing access to enterprise data. NotebookLM is designed for enterprises.
Powering Search with Vertex AI for Commerce
Google Cloud leverages its search expertise with Vertex AI Search for Commerce. It integrates generative AI to give retailers the ability to improve product discovery and recommendations. A key feature, conversational commerce, enables natural, human-like interactions between customers and digital assistants, helping shoppers discover products and receive personalized recommendations.
Retailers like Bed, Bath & Beyond are already reporting benefits, with the company seeing a 5% increase in revenue per visitor after implementing Google Cloud’s conversational commerce solution.
Improved product data with Gen AI catalog enhancements
Accurate product data is essential to increasing sales and customer satisfaction. Google Cloud’s Gen AI Catalog and Content Enrichment uses multimodal AI models such as Gemini 1.5 Pro and Imagen 3 to enrich product information. These models help retailers refine product descriptions, attributes, and visuals, resulting in more appealing and accurate product catalogs for digital channels.
The solution also employs multi-agent workflows to streamline product onboarding, enabling retailers to deliver richer search results, increased personalization, and higher conversion rates.
Connected store solutions for omnichannel retail
Google Cloud’s connected store solutions bring together 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 provide advanced image-to-video and text-to-image generation capabilities.
Retail employees can use these tools to provide customers with instant access to product information and dynamic media experiences on their mobile devices, bridging the gap between online and in-store shopping. You can.
