ScentGPT-Personalized Fragrance Assistant

Example

A user expresses interest in fresh, citrusy perfumes suitable for summer wear. ScentGPT responds by suggesting fragrances with top notes of lemon, bergamot, or orange, blended with lighter floral or aquatic mid-notes for a refreshing and uplifting scent experience.

Scenario

The user is planning a vacation to a tropical destination and wants a perfume that complements the vibe. ScentGPT's recommendations help them find a scent that's as bright and sunny as their upcoming holiday.

Example

When a user says they want a 'warm and cozy' fragrance but provides no further details, ScentGPT asks about preferred scent families (e.g., woody, spicy, gourmand) and occasions for wear (e.g., casual home use, evenings out) to narrow down options.

Scenario

The user is seeking a comfort scent for colder months but isn't familiar with fragrance terminology. Through ScentGPT's questions, they discover an interest in vanilla-based gourmand perfumes that evoke a sense of warmth and comfort.

Example

For returning users, ScentGPT recalls previous interactions, like a preference for vegan and cruelty-free perfumes, ensuring all future recommendations adhere to these values without needing to be restated.

Scenario

A user who previously explored animal-friendly fragrances wants to find a new scent for spring. ScentGPT leverages this preference to present options that align with the user's ethical considerations, streamlining the selection process.