How AI is reshaping e-commerce in Switzerland

AI in e-commerce: a transformation under way

AI in e-commerce refers to the set of artificial-intelligence applications transforming the online shopping experience: conversational search, personalised recommendations, customer-service chatbots, dynamic pricing and predictive stock management. In 2026, this transformation directly affects the Swiss market.

Swiss e-commerce passed the CHF 15 billion mark in 2025 (VSV/ASVAD). In this mature, competitive market, AI is no longer a future competitive advantage: it is a prerequisite for staying relevant.

Conversational search replaces the search bar

Perplexity Shopping and the new landscape

Perplexity launched its Shopping feature in 2025, allowing users to search, compare and buy products directly through a conversational interface. Instead of typing "men's hiking shoes 43", the user asks: "What are the best hiking shoes for the Swiss Alps, waterproof, budget CHF 200.– to CHF 300.–?"

AI instantly compares dozens of sources, synthesises reviews and proposes a reasoned selection. For the user, it is a considerable time saving. For the e-commerce merchant, it is a paradigm shift: your product no longer appears in a list of results, it is cited (or not) in a conversational response.

The impact for Swiss e-commerce merchants

If your product page is not structured to be understood by LLMs, you are invisible in this new search channel. Structured data (Schema.org Product, Offer, Review) becomes essential.

Marketplaces such as Galaxus and Digitec are already optimising their product pages for this new paradigm. SMEs that sell directly must do the same to avoid losing market share.

Personalised recommendations at scale

Beyond "Customers also bought"

AI recommendation systems in 2026 go far beyond classic collaborative filtering. They incorporate:

• Seasonal and geographic context: recommending products suited to local weather, regional events, Swiss cultural habits.
• Conversational history: if a customer has asked for advice via the chatbot, their preferences feed the recommendations.
• Intent prediction: AI anticipates the need before the customer expresses it, by analysing browsing patterns.

Galaxus and Digitec at the forefront

Galaxus, the largest Swiss e-commerce player, uses AI to personalise the experience of its 3 million active customers. AI-powered recommendations represent a growing share of their revenue. Digitec, its tech arm, pushes further with AI-generated technical advice for each product.

For Swiss SMEs, accessible solutions such as Clerk.io, Nosto or Algolia Recommend allow AI recommendations to be implemented without an internal data science team. Our guide on AI customer experience personalisation details the steps to get started.

Smart chatbots transform customer service

From automated FAQ to product expert

E-commerce chatbots in 2026 no longer settle for redirecting to help articles. Powered by LLMs, they understand complex requests in French, German and English (the three essential languages of the Swiss market) and provide contextualised responses.

A customer can ask: "I ordered a washing machine last week, it makes an unusual noise during spinning, what should I do?" The chatbot identifies the order, consults the product's technical documentation, proposes a diagnosis and initiates a return or technical intervention process.

The figures that matter

E-commerce merchants deploying advanced AI chatbots report a reduction in support tickets handled by human agents, an increase in conversion rate thanks to real-time purchase assistance, and stronger customer satisfaction through 24/7 instant responses.

Dynamic pricing adapted to the Swiss market

AI dynamic pricing adjusts prices in real time based on demand, competition, available stock and customer profile. Airlines and hotels have practised it for years. E-commerce is now adopting it massively.

In Switzerland, this practice must be handled with caution. Swiss consumers are sensitive to price transparency. Dynamic pricing perceived as opaque or unfair can seriously damage trust, a cardinal value on the Swiss market.

Best practices:

• Use dynamic pricing for reasonable adjustments (5-15%), not abrupt swings.
• Communicate clearly on your pricing policy.
• Comply with Swiss regulations on price display (PIO, Price Indication Ordinance).

The importance of GEO for online retailers

Generative Engine Optimization (GEO) has become a strategic issue for e-commerce. When a consumer asks ChatGPT or Perplexity "What is the best site to buy electronics in Switzerland?", the AI's answer directly influences traffic and sales.

How to optimise your e-commerce for GEO

1. Structure your product pages: use the Product, Offer, AggregateRating and Review schemas in JSON-LD. Each product must be understandable by an LLM without additional context.

2. Create expert editorial content: buying guides, comparisons and usage tips position your site as a reliable source for AI engines.

3. Multiply verified reviews: LLMs favour sites with structured and abundant reviews. Encourage your customers to leave detailed reviews.

4. Optimise for conversational queries: long questions ("Which robot vacuum is best suited for an 80m2 flat with a cat?") generate more AI citations than short keywords.

To go further, see our guide on strategies to be cited by ChatGPT.

The Swiss market facing this transformation

Swiss e-commerce has a particularity: a trilingual market, high expectations on service quality and a strong sensitivity to data protection. AI solutions deployed must respect these specifics.

The players that will succeed are those that use AI to strengthen, not replace, the quality of the customer experience. To go further, our guide on AI visibility for businesses explains how to be recommended by AI search engines. AI in service of personalisation, speed and relevance, while maintaining the trust and transparency Swiss consumers demand.

Swiss e-commerce in figures: a market in full acceleration

The Swiss e-commerce market shows sustained growth. According to data from VSV/ASVAD and ZHAW, online sales grew by more than 8% in 2025 to reach CHF 15.4 billion. Even more significant: the share of m-commerce (mobile purchases) now exceeds 55% of transactions, demanding ultra-fluid and personalised experiences, exactly what AI makes possible.

Some key indicators:

• 82% of Swiss consumers make at least one online purchase per month (GfK Switzerland, 2025).
• Average basket stands at CHF 127, up 6% on 2024, driven by personalised recommendations.
• Cross-border represents around 20% of Swiss online purchases, mainly from Germany and China. AI plays a growing role in automated customs management and predictive shipping cost calculation.
• Product returns cost the sector between CHF 800 million and CHF 1 billion per year. AI sizing algorithms (size recommendation based on customer profile) reduce returns by 25 to 35% in fashion.

Logistics and payment: AI behind the scenes

Predictive stock management

Stock-outs and overstocking are e-commerce's two profitability enemies. Predictive AI systems analyse sales history, seasonality, search trends and even weather data to optimise stock levels. In Switzerland, where logistics must contend with dense urban areas and less accessible Alpine regions, this optimisation is particularly critical.

Players such as Zalando and Brack.ch already use machine-learning models to adjust their replenishment in real time, reducing storage costs by 15 to 20%.

Smart payment and fraud detection

AI is also transforming online payment. Deep-learning-based fraud detection systems analyse each transaction in real time: location, device, amount, behavioural history. In Switzerland, where TWINT dominates mobile payment with more than 5 million active users, AI integration reduces false positives (legitimate transactions blocked) by 60%, improving both security and customer experience.

Implications for Swiss businesses

Adopting AI in e-commerce is not reserved for large players. Swiss SMEs, which represent 99% of the economic fabric, must integrate these technologies pragmatically. Generative AI offers concrete opportunities for B2B in Switzerland, including in e-commerce.

Three concrete priorities

1. Structure your product data for LLMs: this is the minimum prerequisite. Without structured data (Schema.org), your products are invisible to conversational search. A one-off investment of a few days that generates a lasting advantage.

2. Deploy a multilingual AI chatbot: the Swiss market demands coverage in French, German and often English. Current solutions (Tidio AI, Zendesk AI, Intercom Fin) allow deployment in a few weeks for a monthly cost of CHF 200.– to CHF 800.–, far less than an additional support headcount.

3. Invest in GEO now: companies that optimise their visibility for AI search engines today gain a significant lead. The share of product searches going through conversational interfaces is growing rapidly.

Compliance and data protection

Switzerland has the nFADP (new Federal Act on Data Protection), in force since September 2023. Any use of AI that collects or processes personal data (personalisation, chatbots, dynamic pricing) must comply with this framework. Favour solutions with hosting in Switzerland or Europe and ensure transparency in the use of customer data.

FAQ

Will AI replace traditional e-commerce platforms?

No. AI does not replace platforms; it augments them. Shopify, WooCommerce or Magento remain the technical foundations. AI integrates as a layer of intelligence improving search, recommendations and customer service. On the other hand, platforms that do not integrate AI will progressively lose competitiveness against those that do.

What budget should I plan to integrate AI into a Swiss e-commerce business?

For a Swiss SME, the first AI levers (chatbot, recommendations, structured data) represent an investment of CHF 5'000.– to CHF 20'000.– in setup, plus CHF 500.– to CHF 2'000.– per month in SaaS subscriptions. ROI is generally measurable in 3 to 6 months through reduced support costs and increased conversion rate.

Is GEO really essential for a Swiss e-commerce merchant?

Yes, and increasingly so. Sectoral studies show that LLM responses directly influence the buying decisions of a significant share of younger consumers. If your competitor is cited by ChatGPT or Perplexity and you are not, you are losing sales without even knowing it. GEO is not a replacement for classic SEO; it is a complement that has become essential.

Operational summary

• Conversational search (Perplexity Shopping) changes how consumers discover products.
• AI recommendations move beyond collaborative filtering to become contextual and predictive.
• AI chatbots reduce support costs while increasing conversion rate.
• Dynamic pricing must be deployed with transparency on the Swiss market.
• GEO conditions the citation of your products by AI search engines.
• Structured data, expert content and verified reviews are the pillars of an AI-visible e-commerce business.
• Predictive logistics and smart payment reduce operational costs measurably.
• Swiss SMEs have accessible solutions to integrate AI today, without a data science team.

Is your e-commerce visible to AI search engines? Request an AI visibility audit with MCVA Consulting and identify your growth opportunities.