Wide Eyes
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About
Wide Eyes is a comprehensive visual AI platform engineered specifically to transform how consumers interact with fashion brands online. By leveraging advanced image recognition and deep learning algorithms, the platform acts as a bridge between a consumer's visual inspiration and a retailer's product catalog. The core objective of the technology is to move beyond text-based search, which often fails to capture the nuances of fashion, and instead allow the camera to be the new keyboard. This shift enables a more intuitive and frictionless shopping journey, catering to the modern consumer's demand for instant gratification and seamless discovery across multiple digital touchpoints. The platform provides a suite of integrated solutions, most notably its Search-by-Image functionality, which allows users to upload a photo or screenshot to find matching items instantly. Complementing this is a sophisticated recommendation engine that includes both Similar Product suggestions and a Style Advisor tool. While the former focuses on finding close visual matches, the Style Advisor uses AI to understand fashion trends and recommend complete outfits, thereby increasing the potential for cross-selling and boosting the average order value. On the backend, Wide Eyes offers an automated tagging solution that identifies visual features and assigns data-driven keywords to every product image. This process eliminates the manual labor involved in catalog management while significantly improving the accuracy of on-site search results. This technology is primarily designed for fashion retailers, e-commerce managers, and apparel brands looking to optimize their conversion funnels. Because the system is API-based and platform-agnostic, it is suitable for businesses of varying sizes, from growing online boutiques to global enterprises with massive inventories. It is especially beneficial for companies operating across multiple channels, as the AI can be integrated into web browsers, mobile apps, and even physical retail installations like magic mirrors or interactive digital displays. What distinguishes Wide Eyes from general-purpose computer vision tools is its hyper-specialization in the fashion sector. The algorithms are trained to recognize specific textures, patterns, and silhouettes unique to clothing and accessories, resulting in higher accuracy and more relevant recommendations. Furthermore, the platform is built for high-performance enterprise needs, handling over 21.5 million requests daily with near-zero latency across 34 countries. This level of scalability, combined with a reported 7x average return on investment and a 52% increase in conversion rates for shoppers using the solution, positions it as a specialized partner for industry leaders.
Pros & Cons
Specifically optimized for fashion industry visual features for higher accuracy.
Proven 52% increase in conversion rates for shoppers using the solutions.
Handles high-volume traffic with near-zero latency for enterprise scale.
Automates catalog management through visual attribute tagging and indexing.
Supports cross-platform implementation via an API-based architecture.
No transparent public pricing available without requesting a demo.
Functionality is primarily limited to the fashion and apparel sector.
Requires high-quality product imagery for optimal recognition performance.
Implementation requires technical expertise for API and platform integration.
Use Cases
E-commerce managers can implement Search-by-Image to help customers find products from social media screenshots, reducing the path to purchase.
Digital merchandisers can use the auto-tagging feature to automatically categorize thousands of new arrivals, ensuring every item is searchable by specific visual traits.
Mobile app developers can integrate the Style Advisor to provide personalized outfit suggestions, increasing the average number of items per basket.
Omnichannel retailers can deploy visual search on magic mirrors in physical stores to connect offline inspiration with online inventory.
Platform
Task
Features
• api access
• image recognition
• platform agnostic
• auto-tagging
• deep learning
• style advisor
• similar recommendations
• search-by-image
FAQs
What is Search-by-Image and how does it help sales?
It allows shoppers to upload a photo to find exact or similar items in a retailer's catalog. This feature provides instant gratification and has been shown to increase average order values by up to 28%.
How does the auto-tagging feature work?
The AI analyzes product images to automatically assign relevant keywords and visual attributes like color and style. This improves search quality and helps organize large inventories without manual entry.
Can Wide Eyes be integrated into mobile apps?
Yes, the technology is API-based and platform-agnostic, meaning it can be implemented into browsers, mobile applications, and magic mirrors. It is designed for easy setup across various digital environments.
What kind of results can fashion retailers expect?
Retailers using these AI solutions have reported a 52% higher conversion rate among active shoppers. Additionally, website engagement can increase by over 200% compared to standard site navigation.
Pricing Plans
Enterprise
Unknown Price• Search-by-Image
• Similar Product Recommendations
• Style Advisor Access
• Auto-tagging Solution
• API Integration
• Platform Agnostic Support
Job Opportunities
There are currently no job postings for this AI tool.
Ratings & Reviews
No ratings available yet. Be the first to rate this tool!
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