Work About Careers Insight Contact Us
Contact
Kelolain
Work About Careers Insight Contact Us
Gatsby.png

Client

Gatsby

Gatsby

Back
Gatsby Product Recommendation System

Solutions

Software

Type

Software

Date

August 2024

Cover.jpg

Project Description

Project Description

The Gatsby Perfume Recommendation System will guide users through a series of questions designed to gather information about their fragrance preferences, desired intensity, and intended usage (e.g., daily wear or special occasions). Based on these answers, the system will recommend Gatsby perfumes that best match the user's profile. This system aims to enhance user engagement, improve customer satisfaction, and increase conversion rates by providing relevant product recommendations.

The Gatsby Perfume Recommendation System will guide users through a series of questions designed to gather information about their fragrance preferences, desired intensity, and intended usage (e.g., daily wear or special occasions). Based on these answers, the system will recommend Gatsby perfumes that best match the user's profile. This system aims to enhance user engagement, improve customer satisfaction, and increase conversion rates by providing relevant product recommendations.

Detail 1 (1).jpg
img
Detail 2.jpg
img
Detail 4.jpg
img
Detail 3.jpg
img

Highlight Features

Highlight Features

        • Interactive Questionnaire Interface
          A user-friendly platform where participants can answer tailored questions about their fragrance preferences, skin type, and daily needs.
        • Smart Recommendation Algorithm
          Leverages advanced algorithms to process questionnaire responses and provide personalized deodorant suggestions that best match individual requirements.
        • Product Display Section
          Features the recommended deodorant options, complete with descriptions, durability, key benefits, and links for purchase or more detailed product information.
        • User Feedback Loop
          Incorporates a feature for users to provide feedback on the suitability of recommendations, contributing to continuous refinement of the system for future users.
        What’s next • You might also like

        BCA MQBC 2024

        Thumbnail Project.jpg

        BCA

        BCA MQBC 2024

        Solutions

        Website, Software

        Website, Software

        Indonesia Knowledge Forum XIII-2024

        Thumbnail.jpg

        BCA

        Indonesia Knowledge Forum XIII-2024

        Solutions

        Website, Software

        Website, Software

        BNI Investor Daily Summit 2024

        Thumbnail_BNI Investor Daily Summit 2024.jpg

        BNI

        BNI Investor Daily Summit 2024

        Solutions

        Website, Software

        Website, Software

        *All logos, photos, etc. used in this content are the property of their respective copyright owners & are used here for documentation purposes only.