AI can perform some of the functions customers associate with an online sommelier. It can ask about taste, budget, food, occasion and preferred wine style; explain unfamiliar regions or grape varieties; compare options; and translate technical wine language into clear recommendations.

However, calling AI a sommelier should be understood as a useful metaphor. A professional sommelier brings sensory experience, hospitality, awareness of the guest and first-hand knowledge of bottles. AI can support the conversation, but it does not possess a palate, personal experience or human judgement.

AI is particularly useful for narrowing a broad selection. A customer might ask for a fresh white wine for grilled fish, a structured red for slow-cooked lamb, an elegant Champagne for an anniversary or a thoughtful gift within a defined budget. AI can connect these preferences with suitable styles and explain the reasoning in approachable language.

It can also help customers prepare before speaking with a specialist. Someone unfamiliar with terms such as tannic, mineral, traditional-method sparkling or Left Bank Bordeaux can receive a simple introduction and arrive at the final choice with better questions.

The more specific the request, the more useful the guidance can become. Helpful details include the dish or occasion, approximate budget, number of guests, preferred colour, sweetness level, body, acidity, oak influence and any wines previously enjoyed or disliked.

The final step is important: confirm the current vintage, price, availability and delivery conditions with the retailer before purchasing.

Clear, accurate and current information. Each product page should identify the producer, wine name, vintage, country, region, grape variety, colour, bottle size, tasting profile, food-pairing ideas, price and availability whenever those details apply. Information about delivery, provenance, company history and customer services should also be easy to find.

Well-organised pages and structured product information help search technologies distinguish one bottle from another. OpenAI explains that its OAI-SearchBot is used to surface permitted websites in ChatGPT search results. This creates an opportunity for reliable websites to be discovered, although inclusion or recommendation is never guaranteed.

No. AI can analyse published tasting notes, technical sheets, vintage reports and structured product information, but it cannot smell, taste or physically assess a bottle. It cannot detect whether a particular bottle is corked, prematurely oxidised, perfectly mature or still closed on the day it is opened.

It should therefore distinguish between information supplied by a producer or trusted wine professional and its own general explanation. When exact details are unavailable, the responsible response is to say so rather than invent them.

The stronger future is collaboration, not replacement. AI may answer routine questions at any hour, explain terminology and help customers reduce a large catalogue to a manageable shortlist. The specialist then adds the elements technology cannot reproduce: sensory judgement, knowledge of the actual portfolio, understanding of bottle condition, trusted sourcing and a personal relationship with the customer.

In fine wine especially, authenticity and provenance matter as much as a tasting description. A long-standing importer’s relationships with estates, maisons and trusted partners remain essential.

Customers could move from browsing by label alone to exploring by occasion and preference: wines for a Mediterranean lunch, Champagne for a celebration, a business gift, a cellar addition or a particular menu. AI could help explain the options, while the retailer confirms what is genuinely available in Cyprus and suitable for local delivery.

For restaurants and hotels, the same approach may assist with early research for food pairing, list structure and staff education. Final decisions should still be made with an experienced professional who understands the venue, cuisine, clientele, pricing and service objectives. La Maison du Vin already supports hospitality professionals through its wine list consulting and On-Trade & HoReCa services.

At the time of publication, OpenAI’s current commerce onboarding guidance lists alcohol among the age-restricted products prohibited from its product-feed programme. This means the relevant opportunity for a wine boutique is educational content and website discovery—not direct wine sales or checkout inside ChatGPT.

Any future technology serving the wine sector must respect age restrictions, responsible marketing, privacy and applicable laws. Customers should always complete purchases through an authorised retailer operating under the appropriate local conditions.

AI can misunderstand a request, rely on outdated information or state a plausible detail that is incorrect. Wine information changes: vintages sell out, prices move, new releases arrive and an estate’s winemaking can evolve. Recommendations can also become generic if the customer provides too little context.

The solution is transparency and verification. AI should identify uncertainty, refer customers to current product pages and encourage confirmation with the retailer. Wine businesses should maintain accurate information and ensure that specialist content is reviewed by people who understand the products.

It may feel less like searching through shelves and more like beginning a conversation. A customer could describe a meal, mood, budget or previous favourite and receive a short, clearly explained selection drawn from the retailer’s current catalogue. Each result could then lead to verified product information and, when needed, direct assistance from a knowledgeable person.

The technology may become faster and more personal, but the values behind a trusted wine merchant should remain unchanged: careful selection, authentic provenance, accurate information, responsible service and respect for the customer.