Custom agentic commerce development: AI agents that buy for your customers
Agentic commerce is changing the way online trade works. Rather than browsing webshops by hand, AI agents take over the entire purchasing process: researching, comparing, negotiating and paying. We build the infrastructure that prepares your organisation for this new paradigm, from agent orchestration and merchant integrations to conversational interfaces and payment handling.
What is agentic commerce, and why now?
The way consumers and businesses buy things is on the verge of fundamental change. Agentic commerce shifts control from the human behind the screen to AI agents that autonomously work through the entire purchasing journey. Discover our broader AI development services too.
From searching to delegating
Where consumers currently scroll through product pages, set filters and compare prices by hand, an AI agent does this autonomously. The user states their criteria in natural language ("I'm looking for a sustainable running shoe under €150 with good cushioning"), and the agent searches multiple retailers, weighs reviews, compares specifications and presents a reasoned choice. Once it has sufficient confidence, the agent completes the transaction on its own.
This is not science fiction. Early in 2026, Google announced the Universal Commerce Protocol, an open standard that lets AI agents communicate with merchants in a standardised way: retrieving product data, checking prices, verifying availability and placing orders. Companies such as Salesforce, IBM, JPMorgan and McKinsey are actively investing in agentic commerce infrastructure.
Why invest now?
The shift to agentic commerce affects both the buying and the selling side. For sellers, it means their products must be findable and purchasable by AI agents, not just by human visitors. Businesses that establish agent-ready infrastructure early will be the first to be included in the product catalogues that AI assistants consult.
At the same time, it gives businesses the opportunity to offer their customers an AI assistant that radically simplifies the purchasing process. Think of a B2B procurement agent that automatically finds the best supplier terms, or a personal shopping assistant that knows a customer's entire wardrobe and makes seasonal suggestions.
Core components of an agentic commerce platform
A working agentic commerce system consists of several layers that work together. We design and build each of these components as part of a coherent architecture. See also how our API integration expertise fits in here.
AI agent orchestration
The heart of the system: AI agents that carry out multi-step reasoning, deploy tools and make decisions. Agents understand user intent, break complex purchasing requests down into subtasks, and coordinate parallel search and comparison processes. When uncertain, they ask the user targeted clarifying questions rather than making assumptions.
- Multi-step planning and task decomposition
- Tool use: searching, filtering, calculating, ordering
- Context retention across multiple sessions
- Fallback to human approval when uncertain
Merchant integration layer
AI agents need structured access to product catalogues, real-time prices, stock information and ordering processes. We build the integration layer that communicates with e-commerce platforms, ERP systems and supplier APIs. This is the bridge between what the agent wants to know and what the merchant can deliver.
- Product catalogue connectors (Shopify, WooCommerce, custom)
- Real-time pricing and stock APIs
- Standardised product ontology and attribute mapping
- Support for the Universal Commerce Protocol
Conversational interface
The user communicates with the agent using natural language, whether through chat, voice or an embedded widget in your app. The system learns from previous interactions and purchase history, so preferences don't need to be restated each time. The interface feels like a personal shopping assistant that understands the user better over time.
- Natural language input for complex purchasing requirements
- Preference learning from purchase history and feedback
- Multi-channel: chat, voice, embedded widget, API
- Transparent explanations of agent choices and comparisons
Applications by sector
Agentic commerce is relevant across a wide range of sectors, from B2B procurement to direct-to-consumer retail. The specific implementation varies by context, but the underlying architecture is reusable. See also our e-commerce development and headless commerce services.
B2B procurement automation
AI agents that scan suppliers, request quotes, compare terms and handle repeat orders automatically on behalf of procurement teams. Ideal for organisations with complex purchasing processes involving multiple suppliers, contracts and approval workflows. The agent knows the purchase history, contractual agreements and budget limits, and acts autonomously within those parameters.
D2C personalised shopping
A personal shopping agent that knows the style preferences, sizes, budget and purchase history of individual customers. The agent makes proactive suggestions, puts together outfits, finds alternatives when a desired product is out of stock, and can place orders independently with permission. Direct-to-consumer brands can use this to deepen customer relationships in a way a traditional webshop cannot.
Marketplace integration
Agents that present products from your marketplace to external AI assistants. By making your catalogue agent-ready, with structured product data, machine-readable attributes and API endpoints for pricing and availability, your products are automatically included whenever an AI agent searches on behalf of a consumer. This helps you reach customers who would never otherwise visit your marketplace.
Omnichannel commerce orchestration
AI agents that orchestrate the complete commerce process across channels: online, in-app, via voice assistants and in physical stores. The agent synchronises basket, preferences and transactions regardless of touchpoint. A customer might start a conversation in a chat widget, compare options via a voice interface, and pay in the app, without losing information between channels.
Technology stack for agentic commerce
We combine proven AI frameworks with robust commerce infrastructure. The specific stack is tailored to your use case, scale requirements and existing systems. See also our work on API-first platforms.
AI and agent frameworks
For the AI agent layer, we work with frameworks that support multi-step reasoning, tool use and function calling. LangChain and LangGraph for agent orchestration and workflow management. OpenAI Function Calling and Anthropic tool use for structured interaction with external systems. Google Vertex AI Agent Builder for enterprise-grade agent deployments with built-in monitoring.
Vector databases such as Pinecone, Weaviate or Qdrant form the memory of the system: product embeddings that enable semantic search. When a customer asks for "something similar but in blue and cheaper", vector search finds relevant alternatives based on product attributes, not just exact keyword matches.
Commerce and payment infrastructure
On the commerce side, we integrate with existing e-commerce platforms (Shopify, WooCommerce, Magento, custom builds) via their APIs. For payment processing we set up Stripe Connect or Mollie, depending on the transaction structure. Payment orchestration ensures agents can initiate payments within predefined limits and approval flows.
The architecture is API-first and headless: the agent layer communicates with the commerce backend through standardised interfaces, so you aren't tied to a specific front-end framework or platform. You can read more about this approach on our page about headless commerce platforms. For official documentation on Google's commerce AI initiatives, see the Google Cloud Retail AI page.
Test your idea first: a working prototype in 1 day
With OneDayBuild, we turn your idea into something tangible in one day for €1,150, so you can see whether further development is worth the investment. Decide to go ahead with the full build? Then we credit the full cost.
Explore OneDayBuild →Why choose Appfront for agentic commerce
Agentic commerce calls for a combination of AI expertise, commerce knowledge and integration experience. We bring these disciplines together in a structured approach.
Our five-phase approach
Discovery → Agent architecture → PoC with real data → Integration & pilot → Production & scaling
AI engineering that works in production
We don't just build AI prototypes; we build systems that run in production with real users and real transactions. That means attention to error handling, retry logic, rate limiting on merchant APIs, and graceful degradation when an external service is unavailable. Our experience with custom software and API integrations ensures the agent layer is robust and maintainable.
- Production-grade agent orchestration with monitoring
- Structured error handling and fallback scenarios
- Observability: logging of every agent decision for auditability
Commerce integration as a core competence
Agentic commerce stands or falls with the quality of its integrations. Agents must reliably retrieve real-time product data, prices and availability from diverse sources. We have experience building integrations with e-commerce platforms, ERP systems and external APIs, and we put that knowledge to work building the merchant integration layer that feeds your agents. See also our page on web application development and our portfolio.
- Integrations with Shopify, WooCommerce, Magento and custom platforms
- Real-time synchronisation of products, prices and stock
- Experience with Stripe, Mollie and complex payment flows
Security and compliance for autonomous transactions
When AI agents carry out financial transactions on behalf of users, security is not an afterthought but a foundation. We build with compliance and trust as starting points.
- GDPR-compliant: data minimisation, purpose limitation, rights of access and erasure
- PSD2-compliant payment authentication for transactions above threshold amounts
- Explicit user consent for every autonomous purchase or financial action
- Adjustable spending limits per agent, per user, per time period
- Approval workflows for transactions above predetermined amounts
- Full audit trail of agent decisions, comparisons and transactions
- Encrypted communication between the agent, merchant APIs and payment providers
Read more about our information security policy.
Frequently asked questions about agentic commerce
Ready to make your commerce AI-ready?
Agentic commerce changes how your customers buy and how you sell. We help you with every step: from an initial exploration of the possibilities to a fully working agent platform in production. View our services, read about our approach, or get in touch directly.