Google Cloud for retail

Reimagine the entire retail value chain with groundbreaking AI models and solutions, and Google's unique strengths in data and consumer experience.


Learn how The Home Depot is renovating DIY experiences with Google AI and data solutions.
Learn how The Home Depot is renovating DIY experiences with Google AI and data solutions.
The ROI of AI in Retail and CPG

The ROI of AI in retail and CPG

Learn how AI agents are helping engage shoppers across every touch point. Based on a survey of 585 senior leaders from retail and CPG organizations, this report unpacks the stats to give you a snapshot of how gen AI and agentic AI are delivering value today.

Reimagine the retail value chain to drive business growth

Create a dynamic, intelligent, and autonomous shopping ecosystem that spans from discovery to payments.

Conversational Commerce agent

Solution spotlight: Through dynamic, back-and-forth conversation, Conversational Commerce agent guides shoppers to purchase by allowing them to ask complex questions in their own words.

Conversational Commerce agent uses Google's search expertise and Gemini to deliver personalized guidance throughout the shopping journey through natural conversation. For retailers, the agent increases conversion rates, order sizes, and customer engagement, all while optimizing operational efficiency by handling routine interactions and providing valuable data insights. Coupled with Vertex AI Search for Commerce which leverages Google's query understanding and search expertise, this creates a powerful combination to enhance retail product discovery experiences.

The introduction of Agentic commerce fundamentally changes the shopping paradigm, moving beyond consumer navigation to autonomous AI agent interaction. Consumers experience a highly efficient, personalized, and coherent shopping experience across apps and devices. For retailers, this transformative shift enables new interaction models, allowing personal agents to engage with merchant agents to fulfill requests and source items—creating a powerful new network for collaboration and revenue capture.

The Agent Payments Protocol (AP2), is an open standard designed to enable secure, agent-led payments in AI-driven commerce. Shoppers benefit from a consistent, secure experience when using agents for smarter, personalized, or delegated purchases, while retailers gain opportunities for new sales and increased conversion by building a trusted foundation for agentic commerce.

Learn how Victoria's Secret & Co. brings the in-store experience home with generative AI.

Learn how Victoria's Secret & Co. brings the in-store experience home with generative AI.

Go deeper into solutions for retail:

Capture unified and agentic commerce growth

Create a dynamic, intelligent, and autonomous shopping ecosystem that spans from discovery to payments.

Conversational Commerce agent

Solution spotlight: Through dynamic, back-and-forth conversation, Conversational Commerce agent guides shoppers to purchase by allowing them to ask complex questions in their own words.

Conversational Commerce agent uses Google's search expertise and Gemini to deliver personalized guidance throughout the shopping journey through natural conversation. For retailers, the agent increases conversion rates, order sizes, and customer engagement, all while optimizing operational efficiency by handling routine interactions and providing valuable data insights. Coupled with Vertex AI Search for Commerce which leverages Google's query understanding and search expertise, this creates a powerful combination to enhance retail product discovery experiences.

The introduction of Agentic commerce fundamentally changes the shopping paradigm, moving beyond consumer navigation to autonomous AI agent interaction. Consumers experience a highly efficient, personalized, and coherent shopping experience across apps and devices. For retailers, this transformative shift enables new interaction models, allowing personal agents to engage with merchant agents to fulfill requests and source items—creating a powerful new network for collaboration and revenue capture.

The Agent Payments Protocol (AP2), is an open standard designed to enable secure, agent-led payments in AI-driven commerce. Shoppers benefit from a consistent, secure experience when using agents for smarter, personalized, or delegated purchases, while retailers gain opportunities for new sales and increased conversion by building a trusted foundation for agentic commerce.

Learn how Victoria's Secret & Co. brings the in-store experience home with generative AI.

Learn how Victoria's Secret & Co. brings the in-store experience home with generative AI.

Go deeper into solutions for retail:

Securely integrate campaign and product data to create production-quality content at scale and uncover rich insights to drive marketing performance and consumer engagement.

Customer feature: See how Puma is using Imagen to customize product photos on their website, saving time and ensuring they are locally relevant.

Google AI propels marketing from creative development to content generation to insights. Generative media models Gemini, Gemini Flash, Imagen, and Veo accelerate personalized content creation—whether copy, image or video—boosting productivity, conversions and brand loyalty. Global brands can expand their reach and accelerate worldwide rollouts by effortlessly translating and adapting entire marketing campaigns—from headlines to detailed descriptions—ensuring messages resonate authentically with local buyers, regardless of language or location.

Marketing analytics uncovers powerful insights to drive consumer acquisition and engagement, and improve marketing performance. Integrate Google Ads into marketing and business data to provide a holistic view of performance and business impact. This integration helps drive campaign ROI with intelligent, real-time data and enables the development of custom, differentiated audience segments.

Learn how L’Oréal Groupe pioneers responsible AI visuals for beauty-tech innovation.

Go deeper into solutions for retail:

Learn how L’Oréal Groupe pioneers responsible AI visuals for beauty-tech innovation.

Go deeper into solutions for retail:

Drive store performance and efficiency by equipping associates with real-time data agents.

FairPrice simplifies store operations with AI

Customer feature: FairPrice Group uses gen AI to ensure product availability and resolve potential hazards, creating a positive customer experience.

Workspace for Retail elevates your customer experience, improves operational efficiencies, and boosts employee engagement by empowering corporate and frontline workers with flexible, helpful retail collaboration tools. Store associates are empowered with AI agents and Google Search to boost decision-making speed and enhance store operations. Greater inventory visibility helps to improve fulfillment and deliver superior, customer-centric service.

With Google Distributed Cloud connected, retailers can leverage our multi-tiered, fully managed global infrastructure to securely and cost-efficiently run today's applications, optimizing store performance from a single pane of glass.

Learn how Luxury conglomerate LVMH worked with Google Cloud to develop a data and AI platform that helps their brands collaborate—without sacrificing the personal touch they’re known for.

Learn how Luxury conglomerate LVMH worked with Google Cloud to develop a data and AI platform that helps their brands collaborate—without sacrificing the personal touch they’re known for.

Go deeper into solutions for retail:

Reduce costs and optimize inventory using generative AI and data-driven insights.

Best Buy is making its contact center more human with gen AI.

Customer feature: Best Buy is making its contact center more human with gen AI, creating generate conversation summaries in real time, allowing contact center agents to give their full attention to understanding and supporting customers.

Customer Engagement Suite transforms customer and agent experiences by offering personalized, human-like engagement that accelerates resolution times and enhances customer satisfaction. Agents can instantly respond to inquiries in over 100 languages, and analytics and predictive insights help improve consumer sentiment and reduce costs.

Gemini Enterprise with Google-quality search, leverages your existing data to enable deeper insights and faster discovery across the organization, while bespoke and third-party agents automate routine and repetitive tasks, freeing up employees to focus on more strategic and creative work.

The Home Depot: Helping doers get more done through a data-driven approach.

The Home Depot: Helping doers get more done through a data-driven approach.

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Google Cloud AI is uniquely positioned to support retailers

Empower teams with state-of-the-art models no matter the data set to improve productivity and outcomes. Like humans, Google AI doesn't just understand words, but also images, videos, and sounds. This technology allows for a much richer understanding of information, leading to better decision-making, more efficient operations, and more personalized consumer experiences.

Learn more about Gemini →

Partner with a company that knows how to design consumer experiences that achieve stronger acquisition and retention. Power your digital properties with Google-quality search, browse, recommendations, and conversational commerce, increasing conversions and reducing search abandonment.

Learn more about Vertex AI Search for commerce  →

Capitalize on a unified platform to deploy AI agents and experiences quickly and securely. Build, deploy, and scale your retail solutions with Gemini and Google Cloud's flexible, end-to-end platform, Vertex AI. Work with any model, connect to any data, and accelerate innovation without limitations.

Learn more about Google AI →

Engage with a retail-specific agency and partner ecosystem for expedited deployment. Leverage specialized partner solutions, built with Google AI, to precisely cater for your unique AI needs.

Learn more about Google Cloud partners for retail →

Google Cloud AI platform

See how leading retailers innovate with Google Cloud

Resources to help accelerate your AI and cloud journey

Explore Google Cloud products driving retail transformation

Security and compliance retailers trust

For retailers, protecting customer data isn't just a requirement—it's the foundation of loyalty.

Google Cloud provides control and transparency to secure the organization and every part of the retail value chain, from ecommerce platforms and supply chains, to the in-store experience. Build on a secure-by-design foundation that defends against modern threats, maintains compliance, and protects your brand—all with the same rigor Google uses for its own security.

Frequently asked questions

What are the benefits of ecommerce modernization on Google Cloud and how does it help adapt to market changes faster?

Working with Google Cloud on ecommerce modernization means transitioning from older, rigid systems to modular, microservices-based architectures. This allows for faster innovation and agility, which is critical in today's rapidly changing retail environment. This agility means retailers can adapt faster to shifts in customer behavior or economic conditions, staying competitive and responsive. By moving away from legacy platforms to composable architectures, retailers can launch new services or updates without disrupting their entire system, saving time and resources.

How does Google Cloud help retail businesses during peak seasons?

Google Cloud provides a reliable, secure, and scalable cloud platform that can handle high traffic volumes and peak demand periods. This ensures a smooth and seamless customer experience across all channels. By having a platform that can easily scale up or down as needed, retailers can avoid website crashes or slowdowns during busy periods like holidays or promotions. This reliability enhances customer satisfaction, as they can shop without frustration, leading to more completed purchases. Ultimately, this results in increased revenue and a positive brand image.

How can Google Cloud help retailers optimize their supply chain and reduce costs?

Google Cloud provides tools like Vertex AI for forecasting and BigQuery for data warehousing to improve demand forecasting, optimize inventory management, and reduce overall supply chain costs. The value for the retailer is significant: by using AI to predict demand accurately, retailers can avoid overstocking or stockouts, reducing storage costs and lost sales. Data analytics allow for deeper insights into supply chain operations, identifying bottlenecks, inefficiencies, and areas for cost reduction. This leads to a more agile and cost-effective supply chain, ultimately increasing profitability and customer satisfaction through better product availability.

How can Google Cloud’s associate productivity solutions empower our store employees and improve customer service?

Google Cloud provides AI-powered tools that equip store associates with real-time information and enable personalized assistance. The value for the retailer is improved employee efficiency and enhanced customer service. With these tools, associates can quickly access inventory information, product details, and customer preferences, allowing them to answer questions accurately and provide tailored recommendations. This not only improves the shopping experience but also reduces the time associates spend on manual tasks, allowing them to focus on direct customer interaction. Empowered and informed associates lead to happier customers and a more productive workforce.

How does Google Cloud support retailers in achieving their sustainability goals?

Google Cloud helps retailers achieve their sustainability goals by providing solutions to monitor and optimize energy consumption across their enterprise, stores, and distribution centers. These tools track and measure environmental impact, including carbon footprint, water usage, and waste. Google Cloud also assists in generating ESG reports, and offers 24/7 carbon-free energy, leading to lower operational costs, a sustainable future, and enhanced brand image through demonstrated environmental responsibility.  

How does Google Cloud support multi-cloud strategies?

Google Cloud supports robust multi-cloud strategies through our commitment to openness and interoperable technologies. We provide consistent platforms like Google Kubernetes Engine (GKE) for managing applications across environments, and our Google Distributed Cloud solutions extend our infrastructure where you need it, ensuring you can leverage the best of all clouds without being locked in.

How long does it take to move to Google Cloud?

The time it takes to migrate to Google Cloud depends on the scope and complexity of the project. Factors like the amount of data across the organization and the specific migration strategy play a role in determining the overall timeline. Google Cloud and/or your partner of choice will help you scope your project, set priorities, and determine a realistic timeline.

Let’s start building your tomorrow, today.

Tell us what you're solving for. A Google Cloud expert will help you find the best solution to accelerate your AI journey and achieve your business goals.


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