Comprehensive and user-centric beauty platform

This comprehensive AI-powered app aims to empower end customers’ experience to select and try on makeup virtually, leveraging the capabilities of both AI technologies (Face recognition and analysis, Chatbot and Recommendation system) and Augmented Reality (try-before-you-buy). This innovative project showcases the integration of AI in the beauty industry, revolutionizing how consumers interact with cosmetics.

Business needs 

1. Technical Assessment and Integration 

2. Customer Service Enhancement 

3. Facial Analysis Application Development 

4. Personalized Recommendations 

5. Virtual Try-On Experience 

6. AI Cosmetic Consultant Chatbot   

Key achievements delivered 

Increased sales and revenue: By implementing personalized recommendations that drive cross-selling and upselling, our client anticipates achieving a sales growth of up to 10%, as relevant product suggestions lead to higher order values, optimizing for AI for beauty and cosmetics retail and AI in beauty industry. 

1. Enhanced customer experience: 

Our client aims to improve overall customer satisfaction, loyalty, and experience by providing personalized suggestions that cater to individual preferences and needs. 

2. Improved customer retention: 

Through the use of personalized recommendations based on customer interests, our client expects to foster higher customer engagement, resulting in an anticipated growth of 8-10% or more in customer retention rates. 

3. Efficient inventory management: 

Our client looks forward to leveraging recommendation systems to optimize inventory by analyzing customer preferences, which is expected to potentially reduce inventory costs by 5-8% and minimize stockouts 

4. Increased cross-selling and upselling: 

By utilizing personalized recommendations to promote complementary and higher-value products, our client expects to maximize revenue through cross-selling and upselling opportunities, aiming for a growth of 10% in revenue from these strategies. 

Our technology stack 

OpenCV, TensorFlow, AWS, GPT, ARKit