Tomo is an AI-driven personal shopping assistant that utilizes real-time context and intent detection to provide tailored fashion recommendations, enhancing the online shopping experience. By proactively engaging customers and offering styling advice, Tomo increases conversion rates by 100% and reduces cart abandonment by 50%.
Funding
Funding not disclosed
Founders
Product
Problem
Online fashion retailers struggle with low conversion rates and high cart abandonment due to generic product displays and a lack of personalized shopping experiences. Customers often face endless browsing and complex filtering, making it difficult to find items that fit their specific needs and preferences.
Solution
Tomo is an AI-powered personal shopping assistant designed to provide tailored fashion recommendations and styling advice, enhancing the online shopping experience. By leveraging real-time context and intent detection, Tomo proactively engages customers, offering personalized suggestions and styling options. The platform helps customers discover products that align with their individual style, occasion, and personal context, eliminating the need for extensive searching. Tomo acts as a brand ambassador, providing fashion expertise and styling advice to inspire customers and guide them towards relevant products.
Target Audience
Tomo primarily targets online fashion retailers seeking to improve customer engagement, increase conversion rates, and reduce cart abandonment.
Features
- AI-driven recommendations based on real-time context and intent detection
- Proactive customer engagement with personalized styling advice
- Outfit styling capabilities, including integration with customer's own clothing
- Category-specific fashion tips and inspiration
- Personalized perks and discounts to reduce cart abandonment