An AI advisor for skincare is a virtual assistant specialised in beauty and health, able to guide a customer to the right product and then walk them through to the purchase — unlike a general-purpose chatbot built to close tickets. This guide explains why beauty advice can't be handed to a general-purpose tool, what the advisor actually does, how she is validated, and who she is for.
- 70% of requests handled end to end at Beautymarket, the number one beauty and skincare store in Morocco (measured in testing).
- A register of guidance reviewed and approved by health professionals: a dermatologist, a paediatrician, a pharmacist.
- Never a recommendation outside your catalogue; sensitive cases — pregnancy, allergy, complaints — go to your team.
- Live in a few days, from the app authorised on Shopify or a catalogue export anywhere else.
Why beauty advice can't be handed to a general-purpose chatbot
Beauty advice can't be handed to a general-purpose chatbot, because that bot was never built to weigh up a skin type, a pregnancy or an interaction between actives. It answers delivery questions, not health questions. In skincare, every recommendation touches something personal: reactive skin, a pregnancy under way, an active that must not be mixed with an existing treatment. Getting it wrong is not a small thing. 32% of customers walk away from a brand they love after a single bad experience (PwC, 15,000 consumers, 2018) — and general-purpose chatbots rank as the least-liked channel of all in France (Ipsos BVA, 5,000 people, 2025). A tool designed for technical support closes requests; it does not advise in order to sell.
Point the customer the right way, or don't answer at all: the responsibility a general-purpose support tool has never had to carry.
Another point that often gets missed: in beauty, what brings a customer back is a product that kept its promise, far more than the price (McKinsey, State of Beauty 2025). Bad advice therefore costs more than a badly calibrated discount. That is the difference between a standard e-commerce chatbot and an AI agent built to sell accurately.
What a specialist advisor actually does, from doubt to order
A specialist AI advisor turns product doubt into an order by asking the right questions before recommending, rather than displaying a list of results. Take a typical journey: a customer arrives with skin prone to redness and hesitates between three serums. Instead of leaving her to compare product pages alone, the advisor asks about her current routine, her sensitivity, what she is hoping for — and then suggests one precise product, with the argument that matters to her, exactly as a good in-store advisor would.
That conversation happens wherever the customer is: on the site, on WhatsApp, or on social channels, with the same memory of the catalogue everywhere. If the store runs on Shopify, the direct connection also lets her answer on stock levels and order tracking. The advisor's work doesn't stop at the answer — it ends at the cart. And that is not a figure of speech: according to the State of Conversational Commerce 2026 (Gorgias, 16,000 brands), visitors who have a conversation convert 154% more than those who don't. At bareMinerals, a cosmetics brand, this kind of advice returned 8.8 times the investment in the first month (Gorgias case study). At Topicals, a skincare brand, sales driven by customer advice grew 78% (case study published by Gorgias). To go further on one specific use case, see the online skin assessment or abandoned cart follow-up on WhatsApp.
Health validation: what makes the advice serious
What makes beauty advice serious is validation up front by health professionals, not just a well-filled product database. The Ryma advisor rests on three non-negotiable pillars. First, she is fed the official documentation of the major brands: no improvised product knowledge. Second, she works from a register of guidance reviewed and approved by health professionals: a dermatologist, a paediatrician, a pharmacist. Third, on sensitive cases — pregnancy, allergy, a complaint — she hands over to the retailer's team, by a fixed rule.
The advisor never recommends outside the retailer's catalogue: never a product they don't sell, even when the question invites it. That discipline matters especially against the proprietary tools L'Oréal, La Roche-Posay and Vichy have each built for their own sites. They are good tools, but they stay inside the brand and are out of reach for an independent retailer selling several brands. That is the gap a specialist advisor fills — built for the retailer's catalogue, not for one brand's. The full detail of the guarantees (hosting, GDPR, traceability) is in reliability, GDPR and responsibility.
The proof: what was measured at Beautymarket
The strongest proof is a real, measured deployment. At Beautymarket, the number one beauty and skincare store in Morocco, the Ryma advisor is in production on a dermo-cosmetic catalogue that includes L'Oréal, La Roche-Posay, Vichy, Avène, Bioderma and CeraVe.
That result is not an abstract promise of gain: it is an attributed measurement, on a catalogue comparable to that of any beauty or skincare retailer. The full case, with the context and the method, is on the Beautymarket case.
How the advisor is set up on your catalogue
On Shopify, setup starts with the Ryma app: you authorise it from inside your store, Shopify shows you the access being requested, and there is nothing to export. On another platform, an export of your catalogue is enough — no access to your internal systems. On that basis the register of guidance is calibrated for your products and your brands, with the same health-validation guarantees as on the Beautymarket case. If your store runs on Shopify, a direct connection is available to go further: live stock, order tracking. The technical detail of that step is covered in installing an AI on Shopify.
Your team keeps the wheel at any moment from a dashboard, and every conversation stays on the record: nothing happens outside your control. Data is hosted in Europe, anonymised before it reaches the AI models, covered by a data processing agreement, and deleted at the end of the contract. With that process, the advisor is live in a few days — not several months.
Who this advisor is for, and who a general-purpose tool will do for
A specialist AI advisor is for beauty and skincare retailers whose catalogue is broad enough to justify real product advice, and whose customers ask questions before buying: skin type, whether two actives work together, choosing between several close references. That is exactly the ground where bad advice costs money and good advice turns into a sale, as the Beautymarket case shows.
Conversely, if your catalogue is very small, or if you only want an automatic answering machine for delivery times and opening hours, a general-purpose tool will do the job perfectly well — there is no point paying for an expert advisor. The question to ask yourself is simple: do your customers hesitate before buying, and does that hesitation cost you sales? If it does, the next step is to read the Beautymarket case or to see the live demonstration.
Frequently asked questions
›Can the AI advisor give advice during pregnancy, or on an allergy?
No — no direct recommendation on those subjects. On sensitive cases such as pregnancy, an allergy or a complaint, a fixed rule applies: the advisor hands over to the retailer's team. She is built to recognise these situations and never to improvise medical advice.
›Does the advisor recommend products outside the retailer's catalogue?
Never. She only recommends products the retailer actually sells. If nothing in the catalogue matches the request, she says so rather than inventing a recommendation from outside it.
›Which platforms does the advisor work on?
She works across channels: on the site, on WhatsApp and on social channels, with the same memory of the catalogue everywhere. A direct Shopify connection is available to go further, with live stock and order tracking.
›Who remains responsible for the advice given to the customer?
Responsibility for the advice stays with the store, exactly as with a human salesperson. Ryma supplies the guardrails: a register reviewed and approved by health professionals (a dermatologist, a paediatrician, a pharmacist), a full record of every conversation in the dashboard, and a systematic hand-over to the team on sensitive cases.
›How long does it take to go live?
A few days. On Shopify the starting point is the app authorised from inside the store; elsewhere, a catalogue export. The advice is calibrated on that basis before going into production.
›Does a small store with a short catalogue need this advisor?
Not necessarily. If the catalogue is very small, or the need is limited to answering questions about delivery and opening hours, a general-purpose tool will do. A specialist advisor earns her keep when customers hesitate before buying and that hesitation costs sales.
Alexandre builds Ryma, the AI-powered advisor for online stores, and writes these guides from real deployments, with every figure attributed.