AI chat for beauty and skincare stores: ingredients, shades and routines
"Does the vitamin C serum have fragrance? My skin reacts to almost everything." A shopper who writes that is ready to buy, from whoever answers first with something they can trust.
Short answer: beauty and skincare shoppers ask about ingredients, skin types, shades and routines before they buy. An AI agent trained on your ingredient lists, product pages and shade guide can answer from your own information at any hour. It should never give medical advice, and it should hand reactions, allergies and complaints straight to your team.
The questions beauty shoppers ask most
Ingredients. "Fragrance-free?" "Vegan?" "Is there niacinamide in this?"
Skin type. "OK for oily skin?" "Gentle enough for sensitive skin?"
Shade matching. "I'm 3N in another brand, which is closest?" "Warm or cool?"
Routines. "Can I use the retinol with the vitamin C?" "What order do these go on?"
Shelf life, subscriptions, returns. "How long once opened?" "Can I pause my subscription?" "Can I return an opened product?"
What to train the agent on
Full ingredient lists and the claims on each product page. Your shade guide, including any comparisons you've published. Routine guides that explain how your products work together. Subscription, shipping and return policies.
Starlix answers from those sources, which means its answer about fragrance matches your label, not a guess. It recommends from your catalog when a shopper describes what they need, and reads live Shopify orders for "where is my order?".
Set the limits first
Write into the agent's guidelines that it must not diagnose skin conditions or give medical advice, and should suggest a dermatologist where that's appropriate. Route reactions, allergies and bad experiences straight to a person. Starlix lets you set those rules and hands the chat over with the full history, which means a customer with a reaction talks to a human, fast.
Every conversation keeps an audit log of which sources the agent used, which means you can check exactly where an ingredient answer came from.
Where beauty shoppers ask
A lot of beauty buying starts in Instagram DMs after a post or a creator's video. Starlix answers on Instagram, Messenger, WhatsApp and your website with the same training.
Start with ten questions
List the ten ingredient and shade questions you get most and make sure each answer is on the product page. Train Starlix on your store and test it with exactly those ten, including one about a reaction, to check it hands off.
FAQ
Can an AI agent give skincare advice? It can answer from your product information: ingredients, intended skin types, how to use products together. It should not diagnose or treat conditions, and you should set that rule in its guidelines.
What happens if a customer reports a reaction? It should hand the conversation to your team immediately, with the full history. Set that as a handoff rule from day one.