WHY AGENTIC COMMERCE FOR YOUR BUSINESS
Agentic commerce. AI that acts — and gives you an extra edge.
The future of commerce is intelligent, context-aware and proactive. Enterprises that act now will lead tomorrow — explore agentic commerce with commercetools.
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What is agentic commerce?
Agentic commerce is the next evolution of shopping: AI that thinks, acts and remembers. Instead of a series of disconnected steps — searching, comparing, buying — it transforms the journey into a continuous, intent-driven flow. Intelligent AI agents anticipate needs, personalize recommendations, evaluate options and execute purchases, all while respecting preferences and user-imposed limits.
Built on autonomous intelligence, real-time orchestration and human-aware oversight, commercetools enables enterprises to leverage agentic commerce smarter and faster.
Is agentic commerce the next big thing?
Your customers are now using GenAI to find products and even to place orders. They trust AI-generated shopping recommendations more than friends, family, search engines and your website. The behavior shift is inevitable — and will further cement zero-click commerce as a reality.
Agentic commerce is expected to transform the way we shop today, ushering in waves of change in the retail industry initially, and then across various sectors, from B2B manufacturing to healthcare.
AI-powered search set to beat traditional search soon
50% of consumers already use AI-powered search today, making 20-50% of traffic at risk from traditional search.
McKinsey
Shoppers want to use AI agents
60% of shoppers expect to use AI agents within the next 12 months and 73% are familiar with AI tools.
MarTech
Analysts predict explosive growth for agentic commerce
The orchestrated B2C retail revenue is expected to reach $3- $5 trillion globally by 2030.
McKinsey
Agentic commerce in action: Real use cases.
From autonomous storefronts to intelligent support and agile merchandising, agentic commerce creates a measurable impact across your entire business.
Smarter product discovery
They understand shopper context, surface the most relevant items and build personalized bundles, turning browsing into instant discovery.
Seamless checkout & recurring orders
They add to cart, apply offers and complete checkout — even managing subscription or recurring orders automatically.
Dynamic merchandising
They adapt product layouts, creative and bundles based on live data — helping brands react instantly.
Loyalty & lifetime value intelligence
They anticipate needs, trigger timely offers and personalize rewards — turning one-time buyers into lifelong advocates.
Autonomous campaigns
Marketers set simple rules (“trigger flash sale when stock is low”) — the agent executes instantly across channels, no tech bottlenecks required.
Predictive demand & inventory optimization
They forecast purchasing patterns, identify low-velocity items and auto-adjust pricing or promotions — ensuring the right products are always available when shoppers want them.
The benefits of agentic commerce for enterprises.
Build faster, operate smarter and personalize at scale — all powered by autonomous AI agents.
How commercetools enables agentic commerce for enterprises.
Our not-so-secret sauce? Agentic-ready tools, backed by an enterprise-level platform.
Make your brand immediately discoverable and shoppable on GenAI channels. Connect your catalog, pricing and checkout to every major LLM while retaining control over how product data appears in AI results.
Integrating LLMs, securing APIs, managing data flows and enforcing compliance are pre-engineered and production-ready. Allow AI agents to reason, decide and act in real time — in a matter of weeks.
Design, deploy and monitor AI agents in a fully secure environment without the infrastructure burden of managing hosting, scaling or compliance.
AI agents leverage consistent data across products, prices and orders across every channel. A single, unified data layer prevents dual integrations or sync latency — and enables real-time transactions.
Flexible and vendor-agnostic, composable commerce empowers your AI agents to act at every layer, innovate more quickly and integrate seamlessly with existing systems.
commercetools scales effortlessly to handle the real-time interactions agentic AI requires, keeping experiences fast and seamless.
Accelerate your path to agentic commerce.
Agentic Jumpstart gives you the foundation to move fast: Standardized data infrastructure, full brand control across GenAI channels and the tools to create secure, high-performing AI agents within a unified commerce ecosystem.
Leading enterprises reimagining commerce with agentic AI.
How brands and retailers are leveraging the AI-first platform.
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Frequently asked questions
What are the key components of agentic commerce?
Agentic commerce combines AI, data, and commerce systems to enable autonomous, AI-driven transactions at scale, helping enterprises engage customers across new GenAI channels while maintaining strict security and governance. Key components include:
- AI agents that autonomously assist or transact: Intelligent agents act on behalf of customers, guiding them through product discovery, purchase decisions and post-purchase support. This reduces friction, increases conversion and ensures compliance with brand and regulatory policies.
- Standardized data infrastructure: Centralized and structured product, pricing and inventory data ensures consistent, accurate information across multiple AI-driven platforms and marketplaces while enabling secure data access and auditability. This unified commerce environment also enables AI agents to operate with full brand control, follow security protocols and role-based access, and provide real-time compliance monitoring to safeguard brand integrity and customer trust.
- Real-time integrations: Connects product catalogs, inventory and pricing dynamically with AI agents, enabling automated, always-updated customer interactions while enforcing governance rules and protecting sensitive data.
- Analytics and automation: Tracks AI agent performance, customer engagement and sales impact, providing actionable insights to optimize operations, revenue and compliance adherence, ensuring all AI-driven activities align with enterprise governance standards.
How is agentic commerce changing the landscape of online shopping?
Agentic commerce is redefining digital commerce by shifting from traditional, manual online shopping to AI-assisted, autonomous buying experiences. Key changes include:
- Shifts purchasing power to AI agents: Consumers increasingly rely on AI assistants to make faster, data-driven purchasing decisions, altering traditional buying patterns. For instance, more than 60% of consumers have utilized conversational AI for shopping purposes.
- Enables hyper-personalized experiences: AI agents use real-time data and predictive algorithms to tailor product recommendations and offers to individual customer preferences.
- Expands brand reach across GenAI channels: AI agents enable brands to appear consistently in emerging LLM channels, from ChatGPT to Microsoft Co-Pilot.
- Redefines loyalty and engagement: AI agents tailor offers, retention campaigns and loyalty rewards based on customer lifetime stage, delivering win-back sequences, VIP access and point allocations that maximize value while deepening long-term relationships. Guided selling using conversational commerce also enables brands to enhance their experiences through their own channels.
What challenges do businesses face when adopting agentic commerce?
Implementing agentic commerce at scale presents operational, technical and strategic challenges that enterprises must address. Common challenges include:
- Integrating systems with GenAI technologies: Many organizations must bridge existing ERP, CRM,and commerce platforms with modern AI frameworks, requiring careful planning and data mapping. Businesses that rely on legacy commerce platforms are expected to face difficulties in integrating AI-driven workflows and solutions due to their inflexible set-ups.
- Maintaining brand consistency across AI ecosystems: Enterprises must ensure AI agents communicate the brand voice, guidelines and values across multiple digital touchpoints in a consistent manner.
- Managing data privacy and compliance: Automated AI interactions require strict adherence to GDPR, CCPA and industry-specific regulations, with secure handling of sensitive customer data.
- Ensuring scalability and ROI: Enterprises need to measure performance and business outcomes from agentic commerce initiatives to justify investment and optimize deployment.
What ethical considerations arise with agentic commerce?
The ethical and responsible approach to leveraging agentic commerce is crucial for maintaining trust and meeting regulatory and societal expectations. Key considerations include:
- Transparency in AI-driven decisions: Customers should understand when AI agents make recommendations or complete purchases, fostering trust and informed decision-making.
- Avoiding bias in algorithms: AI systems must be designed to prevent discriminatory or unfair outcomes in product recommendations or pricing.
- Protecting consumer data and consent: Enterprises must ensure customers explicitly consent to AI-driven interactions and data usage.
- Balancing automation with human oversight: Critical decisions should allow human intervention where necessary, preventing over-reliance on automated systems.
What role does data security play in agentic commerce?
Data security is essential for protecting customers, maintaining compliance and ensuring enterprise resilience in AI-driven commerce. Key aspects include:
- Safeguarding customer and transactional data: AI agents interact with sensitive personal and financial information, requiring robust encryption and secure storage.
- Compliance with global regulations: Adhering to the GDPR and other relevant privacy laws is essential for maintaining global operations and avoiding fines.
- Building customer trust: Security measures reassure customers that their data is safe, improving engagement and loyalty.
- Preventing misuse or breaches: Secure systems protect against unauthorized access or malicious AI manipulation, maintaining brand integrity and operational continuity.
How can businesses use agentic commerce to create a more personalized shopping experience?
Agentic commerce allows enterprises to leverage AI agents to deliver highly individualized experiences that drive engagement and revenue. Strategies include:
- Understanding intent and context: AI agents analyze behavior, preferences and historical data to provide tailored product suggestions and offers.
- Real-time, dynamic recommendations: Customers receive personalized content, pricing and promotions in the moment, improving conversion and satisfaction.
- Predictive and proactive engagement: AI agents anticipate customer needs, triggering timely interactions to increase repeat purchases and lifetime value.
What are the technological prerequisites for implementing agentic commerce effectively?
Effective agentic commerce requires an enterprise-ready technology foundation that supports AI-driven decision-making, secure operations and seamless integration across commerce systems. Prerequisites include:
- Real-time product discoverability and purchasability: Ensure products are consistently accessible across major LLM ecosystems, enabling AI agents to drive revenue in emerging GenAI channels.
- Context-aware AI agents: Agents must understand customer intent, make intelligent decisions and take actions across commerce systems with minimal human intervention.
- Secure AI integrations: Enable agents to safely access and update critical data, including products, orders and customer information, in real time without compromising security or compliance.
- Cross-agent coordination: Allow different AI agents, whether internal or partner-based, to collaborate seamlessly across multiple systems and workflows.
- Governance and monitoring: Control agent permissions, monitor behavior and protect sensitive data before, during and after execution, ensuring adherence to enterprise policies.
- Scalable cloud and orchestration infrastructure: Support high-volume transactions, AI agent orchestration, and real-time analytics without performance degradation, with built-in observability and rollback capabilities.
commercetools Agentic Jumpstart enables enterprises to turn emerging AI discovery and checkout channels into revenue-ready touchpoints. Key capabilities include:
- AI Hub: Connects commercetools to emerging AI discovery and checkout channels like ChatGPT and Microsoft Copilot, turning new conversational interfaces into revenue-ready touchpoints.
- Agent Gateway: A secure, managed environment for creating, running and scaling AI agents with built-in authentication, control and observability.
- Prompt-safe APIs: Scope-controlled, secure interfaces that let agents act safely within predefined limits, ensuring compliance and data protection.
- Agentic Orchestration: An execution layer where agents coordinate and complete tasks across pricing, inventory, checkout, and fulfillment, all governed by policies, observability and rollback safety.