Recommendation system for cosmetics marketplace
The client
SuiCura
Project Overview
Developed an AI-powered recommendation system that leads a conversation to understand consumer needs and suggest products, serving as an advanced customer engagement and sales tool.
Challenges
The client needed to develop a prototype for an AI-powered cosmetics marketplace with a superior product recommendation engine. The challenge was to create a more engaging and effective method for gathering user needs than a static form or simple chatbot, aiming for a truly personalized experience.
Solution
Superscript Systems developed a prototype featuring an innovative "reverse-chat" system. This unique active-conversation approach has the AI leading the dialogue, proactively asking questions to extract detailed symptom information from the consumer. This extracted data was then used to recommend specific cosmetic products and treatments based on a set of submitted guidelines.
Results
A successful prototype was created, demonstrating a novel and effective conversational approach for a recommendation system. The AI-led dialogue allows for a deeper understanding of consumer needs, leading to more accurate and personalized product recommendations.
Technology Stack
Node.JS
React.js
AWS
PostgreSQL
Various AI models
Superscript Systems was the best subcontractor I had ever worked with.
Leon Eisen
Executive Chairman, Oxitone Medical


Voxme
“Everything was delivered on time and in the desired form.”
Max Kreynin
Managing Partner, Voxme Software Inc
Oxitone
“Superscript was the best subcontractor I had ever worked with.”
Leon Eisen
Executive Chairman, Oxitone Medical
Securter
“What makes them unique is their experience and ability to deliver an actual product.”
Steve Epstein
CEO, Securter Systems Inc.