E-commerce in Switzerland continues to grow, reaching CHF 15.8 billion in 2025. At the same time, artificial intelligence has already found its place in day-to-day commerce operations. Many businesses are using AI to generate product descriptions, translate content, improve search, and even support forecasting.
So, AI in commerce is not new.
What is changing is where it operates.
The next phase is about AI shaping how products are discovered, evaluated, selected and how order is placed. This is what defines agentic commerce today.
What this means for businesses
Agentic commerce does not replace the webshop. It extends its reach.
Instead of customers manually navigating multiple sites, comparing options, and filtering products, AI agents can take on much of the discovery and decision-making process. They interpret intent, apply preferences, and surface the most relevant options; faster and with more context.
But importantly, the transaction itself still relies on trusted systems.
Transactions may happen in different ways depending on how much control customers want to give AI. Some may prefer AI to simply help compare products and narrow down choices, while others may be comfortable letting AI handle the process till the transaction as well.
What matters for businesses is being prepared for both. Whether AI is supporting product discovery or helping guide transactions, accurate pricing, reliable inventory information, clear policies, and trustworthy systems will continue to play a critical role.
This shifts how businesses need to think about their systems.
From experience design to system readiness
Traditionally, businesses design for a human visitor, focusing on usability and visual experience. In agentic commerce, that expands. Systems must now serve both:
- the customer
- and the AI systems guiding that customer.
AI agents do not browse like humans. They rely on structured, up-to-date, and evaluate consistent data. The AI systems availability, pricing, delivery conditions, and relevance.
Where agentic AI creates real value today is in:
- surfacing accurate, in-stock products.
- comparing options across multiple sources.
- reflecting real pricing, taxes, and delivery conditions.
- reducing friction in how customers arrive at a decision.
This changes the competitive dynamic.
Advantage no longer comes only from an engaging storefront, but from how easily your products can be discovered, understood, and trusted by AI systems.
This is where many organizations begin to see the gap. For businesses, this makes one thing clear: If your data is incomplete, inconsistent, or hard to access, your products become invisible in AI-driven discovery.
How SELISE supports the transition
As agentic commerce moves from concept to execution, the real challenge for most organizations is not awareness, but the readiness.
SELISE supports businesses in preparing their commerce environments by aligning core systems like data, integrations, and workflows, with the requirements of AI-driven discovery and interaction.
This starts with clarity: understanding how accessible, structured, and reliable your current systems are from a machine perspective.
From there, your agentic commerce journey unfolds across the following key stages:
Commerce architecture readiness
Ensuring platforms and integrations can support external, AI-driven interactions.
Product data & catalogue optimization
Structuring product information for accuracy, consistency, and discoverability.
Search, pricing & inventory logic
Making critical data like availability, pricing, taxes, delivery etc. reliable and machine-readable for AI agents.
Protocol integration
Implementing ACP, UCP, and WebMCP on your existing commerce platform while ensuring agent-ready capabilities with minimal architectural change.
Phased experimentation and rollout
Supporting businesses with readiness assessments, pilot initiatives, and controlled rollouts, enabling measurable progress without unnecessary risk.
In a landscape where AI agents are increasingly involved in decision-making and transactions, AI readiness and capability become a defining factor.
How businesses should respond
Organizations do not need a complete reinvention to adapt to agentic commerce. In most cases, it begins with strengthening what already exists like improving data quality, simplifying systems, and making interactions more consistent and reliable. From there, businesses can evolve gradually, aligning with how new buying behaviours are emerging.
At its core, this shift is about becoming AI-ready.
This means making it easier for AI agents to:
- Find and evaluate your products.
- understand your offer and available options.
- Trust your pricing, inventory, and policy data.
- Allowing it to take actions.
This shift is not about doing everything at once. It is about moving forward with clarity and confidence, building on a solid foundation while adapting to a changing interface.
As customers increasingly rely on AI to navigate decisions businesses need to ensure they can be understood, evaluated, and trusted by those systems just as seamlessly as by humans.
The question is no longer just:
Can customers find your webshop?
But:
Can AI systems reliably surface your products as the best choice leading to order placement?
From assessing readiness to strengthening systems and enabling agent-driven interactions is where SELISE can support. If this shift is on your radar, we are just a conversation away.
