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Agentic Commerce: When AI takes over shopping

Agentic Commerce: When AI takes over shopping
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Picture of Eugen Schitik

The image shows a robot looking at a product on your phone.

With Instant Checkout in ChatGPT, OpenAI demonstrates the direction in which online retail is headed: For the first time, artificial intelligence is actively taking over the purchasing process. Widespread integration is still in its early stages – but the structural groundwork has been laid.

Agentic Commerce represents this new commerce logic – automated, data-driven, and networked. Now is the time to consistently align systems to be agent-ready.

Content

How autonomous AI is redefining online retail

Previously, humans controlled the purchasing process: searching, comparing, deciding. In agentic commerce, intelligent systems take over these steps independently. They research products, evaluate offers, and make purchasing decisions on behalf of their users – based on defined goals, preferences, and parameters.

What is already reality today

Early applications show where commerce is headed: AI systems are supporting purchasing decisions directly in chats, voice assistants, or internal processes. The focus is less on the technical implementation and more on the changing role of systems in the purchasing process.

For these developments to scale beyond individual applications, common technical foundations are needed. New standards like the Universal Commerce Protocol (UCP) address precisely this challenge.

A concrete example:

A user defines budget, delivery time and product criteria – the agent researches suitable offers, evaluates alternatives and independently triggers the order within these parameters.

AI agents as a technical principle

Many of these developments are driven by so-called AI agents. Unlike classic, dialogue-oriented chatbots, they not only handle interaction but can also perform tasks, communicate with systems, and support processes in the purchasing context.

They thus form a central basis for agentic commerce: systems that not only provide information but are actively involved in decision-making and transaction processes.

Agentic Commerce vs. traditional online retail

Area
Classic online retail
Agentic Commerce
Purchase process
User selects products manually.
AI agent makes purchases independently according to goals
Decision basis
based on user interaction
based on data, context and specifications
Personalization
Recommendations through filter logic
Autonomous agents act proactively
Pricing
maintained statically or manually
dynamic, data-driven, possibly AI-negotiated
Customer service
responds to inquiries
acts proactively and resolves issues automatically

Why now is the right time for AI-powered trading

Agentic Commerce is transforming the architecture of digital commerce – from data structures and interfaces to the channels where purchases are made. For AI systems to recognize, evaluate, and select products, a new interplay of technology, data quality, and process understanding is needed.

Platforms and shop systems are already investing in agent-enabled interfaces. New sales channels are no longer created exclusively in online shops, but also in AI interfaces and automated systems. Those who are structurally prepared in this area will remain visible.

Agentic Commerce as an efficiency driver in B2B

Especially in B2B commerce, AI-powered commerce offers enormous potential: price inquiries, reordering and supply chain processes can be automated using AI - for faster processes, less effort and greater process reliability.

"Agentic Commerce is not simply a new technology – it is the transition from reactive shops to self-thinking systems."

Mitarbeiterfoto
Christian Burg
Managing Director burgdigital GmbH

Key factors in agentic commerce

Foundation for future-proof commerce systems

For AI systems to operate reliably, the underlying systems must be consistently, openly, and intelligently interconnected. A robust data and system architecture is a prerequisite for enabling agentic commerce in the first place.

Without consistent data structures and open interfaces, AI agents cannot make reliable decisions. Therefore, agentic commerce doesn't begin with the interface, but with the system architecture.

This creates a trading infrastructure that strengthens current systems while remaining open to the next stage of evolution in digital sales.

  1. Structured product data: Uniform attributes and taxonomies make information machine-readable and enable consistent decisions at the agent level.

  2. Open interfaces: API-based systems create seamless connections between online shop, PIM, ERP and payment – ​​the basis for automated transactions.

  3. Composable Commerce: Flexible, modular architectures ensure future viability and facilitate the integration of new AI functions.

We make companies fit for agentic commerce.

burgdigital combines strategic consulting with technological implementation. We support companies in structurally aligning their systems with AI-supported purchasing processes – securely, scalably, and future-proof.

This is how architectures are created that work efficiently today and will be interoperable with autonomous agents tomorrow.

Our three main areas of focus

  1. Strategy – Recognizing potential and developing business models early on.

  2. Technology – Setting up systems, data flows and interfaces in an agent-ready manner.

  3. Implementation – Integrate AI functions and implement pilot projects in a structured manner.

FAQ - Frequently Asked Questions about Agentic Commerce

What does Agentic Commerce mean?

Agentic commerce describes a new form of online retail in which artificial intelligence independently searches for, compares, and buys products. AI agents thus take over parts or the entire purchasing process on behalf of the user or a company.

How does Agentic Commerce work in practice?

AI systems access structured product data and interfaces, analyze offers, and make decisions based on predefined parameters such as price, quality, or availability. Purchases can be initiated directly via chatbots, voice systems, or integrated APIs.

What advantages does Agentic Commerce offer businesses?

Companies benefit from automated processes, reduced friction, and higher conversion rates. Furthermore, AI agents can operate 24/7 and make purchasing decisions based on consistent data – an advantage for efficiency, scalability, and customer loyalty.

How can merchants integrate Agentic Commerce?

The prerequisites are a clear data structure, open APIs, and a flexible commerce architecture. Systems like Shopware 6 or Shopify can be prepared for agentic commerce scenarios using middleware and AI functions.

What role does burgdigital play in the implementation?

burgdigital provides strategic and technical support to companies entering the field of Agentic Commerce – from analyzing existing systems to developing interfaces and integrating AI-based purchasing processes.

Be structurally prepared with Agentic Commerce

Agentic Commerce is changing the logic of digital commerce processes. Companies that prepare their systems and data architecture today are laying the foundation for new, AI-powered sales channels. burgdigital supports companies in implementing this transformation strategically and technologically.

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