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Provides virtual try-on solutions and personalized recommendations as users shop online, enhancing the e-commerce experience.

Utilizes AI to analyze user preferences and current trends to suggest personalized product selections, earning through affiliate marketing.
Uses AI algorithms to curate personalized shopping experiences and product recommendations based on user preferences and shopping habits.
An AI platform designed to analyze and interpret customer emotions during online shopping to enhance user experience and drive sales conversions.
• Difficulty in understanding customer emotions and motivations
• High cart abandonment rates due to disconnect between user intent and experience
• Lack of real-time data to optimize marketing strategies based on emotional responses
• Inability to personalize user experiences effectively
Growing online sales expected to reach $6.39 trillion by 2024, combined with increasing demand for personalized shopping experiences, make emotional analytics a timely solution for retailers.
• Emotient (Apple)
• FaceReader (Noldus Information Technology)
• Aura (AI emotional analytics)
• Traditional customer feedback tools
• A/B testing platforms without emotional insights
• Basic analytics platforms that lack emotion-driven insights
• AI-driven personalized recommendation systems
• Augmented reality shopping experiences analyzing customer engagement
• Neuroscience-driven consumer research firms