Capabilities

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What ScentBot can do

ScentBot is more than a chatbot — it is an AI fragrance specialist trained on WikiParfum’s database of 31,000+ perfumes. This page describes the capabilities available to users during a conversation.

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Natural language search

Users describe what they want in their own words, and ScentBot translates that into structured fragrance queries. Supported search dimensions include: These dimensions can be combined in a single query. ScentBot understands context and refines results as the conversation progresses.

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Image-based search

Users can upload a photo — an outfit, a look, or a setting — and ScentBot suggests fragrances that match the visual style. This is useful for customers who know the aesthetic they want but cannot describe it in fragrance terms.

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Gift recommendations

ScentBot guides users through gift selection with tailored suggestions based on the recipient’s preferences:

• Safe choice — recommendations based on known preferences
• Surprising choice — niche or unexpected suggestions for adventurous recipients
• Open-ended — broad recommendations when the user has no specific direction

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Fragrance comparison and details

Users can ask ScentBot to compare two or more fragrances, explain a perfume’s composition, or describe what a fragrance smells like. ScentBot provides ingredient breakdowns, family classification, and perfumer information.

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Similarity and dupes

ScentBot can find fragrances similar to a given perfume — useful for customers looking for alternatives or more affordable options within your catalog.

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Layering suggestions

For customers interested in fragrance layering, ScentBot can suggest complementary pairings — recommending fragrances that combine well with a selected scent.

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Multi-language support

ScentBot supports 25+ languages. Set the language via the language attribute using an ISO 639-1 code. The entire conversation — including recommendations, ingredient names, and UI text — adapts to the selected language. Arabic (ar) enables right-to-left layout.

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Session persistence

Conversation history is stored in the browser and persists across page navigations within the same site. Users can leave a product page, browse other sections, and return to find their conversation intact. The history expires after a configurable period (default: 12 hours) with no user interaction. See the chat-history-expiration-hours attribute to adjust this.

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Catalog-scoped results

All recommendations and search results are scoped to the products in your Product Feed. Users only see fragrances they can purchase from your store.

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Brand customization

ScentBot adapts to your brand identity:

• Tone of voice — conversational style matches your brand personality
• Welcome message — customizable greeting when the widget opens
• Quick-reply FAQs — predefined questions displayed as suggestion chips
• Visual styling — fonts, colors, and layout via custom CSS

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Next steps