An AI shopping assistant for beauty stores that asks before it suggests

What do beauty shoppers ask before they buy?

Beauty shoppers ask matching questions: which shade fits my undertone, will this foundation look matte on oily skin, is this cleanser gentle enough for dry skin, does this scent last. Behind every question is a fear of buying the wrong one, and online there is no tester or counter associate to settle it.

Most answers already sit in the store: shade names on each variant, finish and coverage in the product copy, the store's shade guide and FAQ. The work is asking the right thing first, then pointing to the right variant.

• Makeup: shade, undertone (cool, warm, neutral), finish (matte, natural, dewy), coverage.
• Skincare: skin type (oily, dry, combination, sensitive), the concern the shopper names, whether they want SPF.
• Hair care: hair type and the concern (frizz, volume, color-treated).
• Fragrance: scent family, intensity, and when it will be worn.

How does an AI shopping assistant help a beauty store sell?

An AI shopping assistant for a beauty store works like a good counter associate: it asks one short question when the need is unclear, then suggests one to three products from your catalog, each with a reason. If the shopper already said "oily skin, matte finish", it skips the question and goes straight to suggestions.

Each suggestion arrives as a product card with the real image, the live price and the right shade variant already selected, so the shopper is one tap from the store's real cart. Price, compare-at price and stock are read live for every answer, which matters in beauty, where popular shades can sell out. See how this works in AI product recommendations and the broader idea of guided selling.

Example conversation · invented store

This is an illustration on an invented store, "Fernway Beauty", that sells foundation, primer and brushes. It shows the order of a typical exchange: one question, then a short list with reasons, then one optional offer. Product names are invented; on a real store they come from your catalog.

Shopper: I have oily skin and my old foundation slides off by lunch. Which one should I get?

Assistant: Got it. Do you prefer a matte or a natural finish? And is your undertone more warm, cool or neutral, if you know it?

Shopper: Matte. I think warm, gold jewelry looks better on me.

Assistant: Then I'd look at the Soft Matte Foundation. The product description says it is made for oily skin with a matte finish. Two warm shades in your range are W2 and W3; W3 is the deeper of the two. I've opened W2 on the card.

Shopper: (taps Add to cart on the W2 card)

Assistant: It's in your cart. One idea: the Pore Primer is part of a set with your foundation, so you'd pay less than buying both separately. Bonus: the product page says it is meant to sit under matte foundations. Want to see it?

Which questions does it ask on each beauty shelf?

Inside a beauty store, each shelf has its own deciding questions. Tycoon is built to ask them in the order that matters for that shelf: shade before finish for makeup, skin type before concern for skincare. It asks only one question at a time, and only when the shopper has not already answered it.

What won't it do in a beauty store?

It will not give medical or dermatological advice. If a shopper asks about acne treatment, eczema, a rash, a reaction or pregnancy safety, Tycoon is built to point to the product label and suggest checking with a professional, then offer a person from your team. It does not diagnose skin, and it does not invent ingredients or claims.

It also does not invent certifications (cruelty-free, vegan, clean, non-comedogenic) that your product pages do not state, and it does not use false urgency, fake scarcity or fake social proof. When the answer is not in your catalog or approved facts, it says so and hands off. On Growth and up, that gap is logged so you can add the answer later; read how it learns your store.

Can it help with shade returns and exchanges?

Yes, when the shopper asks. Tycoon answers questions about your returns and exchange policy from the facts you approved at install, such as the return window, and on Starter and up it can check order status for a signed-in shopper. It never volunteers returns or cancellation in the middle of a sale.

The more useful part happens earlier: asking about shade and undertone before suggesting a foundation is the conversation a counter associate would have. Tycoon does not promise fewer returns; it is built to make the match question explicit before the shopper adds to cart. Order questions such as "where is my order" are covered in support automation.

What kind of upsell fits a beauty store?

In beauty, the natural add-on is something used together: a primer with a foundation, a brush for the formula, a cleanser with a serum, or the one item that unlocks free shipping. Tycoon makes at most one offer per reply, framed saving first, then the bonus, and none when the shopper is upset, skeptical or hesitant.

• Matching add-on: a setting spray after a matte foundation is added to the cart.
• Bundle (Growth and up): a cleanser, serum and moisturizer set the store already sells, shown when it costs less than the items separately.
• Free-shipping nudge (Starter and up): a travel-size item when the cart is just under the store's approved free-shipping threshold.

Does it answer beauty shoppers in other languages?

Yes. Tycoon detects your store's main language on install and answers each shopper in the language they write in, across 16 languages, with right-to-left layouts for Arabic, Urdu and Hebrew. Shade names and product names stay as they appear in your catalog, so the shopper sees the same variant she will receive.

See the full list on the languages page.

Frequently asked questions