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Image-based object recognition models and recommendations of products for the fashion industry
The GTL and CTL models enhance product discovery by identifying and matching items from styling photos and individual clothing pieces, respectively, without the need for special styling images
Advanced object discovery models significantly enhance product matching accuracy by analyzing visual features
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Enhancing product discovery with the GTL model
The GTL model intelligently identifies products featured in the styling photo and retrieves matching items from various categories within the range. If an exact match is unavailable, the model can also present several similar products from the current inventory, ensuring customers have plenty of options. By processing all images associated with the selected products, the model enhances detection accuracy and delivers a unique collection of identified products, streamlining the shopping experience.Revolutionizing Product Matching with the CTL Model
The CTL model represents a more advanced solution that identifies products that complement a specific clothing item, enhancing the shopping experience for customers. Notably, this model does not require a special set of styling images, making it easy to implement. It generates a comprehensive list of matching products across various categories, such as shoes, trousers, and blouses, and is pre-trained and tested for quick deployment without the need for additional training on customer images.
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Advanced GTL models with standardized feeds
The models are designed to operate using a standard product feed, simplifying the integration process for businesses. This means that there is no need to provide a separate set of images, saving time and resources. As a result, companies can efficiently manage their product listings without the hassle of additional image requirements.Optimizing product presentation with smart image selection
During the processing of the product feed, the system intelligently selects the most suitable photos to serve as styling images. These images showcase a full silhouette, highlighting not just one product but multiple items in a cohesive presentation. This approach enhances the visual appeal of the products and provides customers with a better understanding of how the items can be styled together.
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Ensuring quality with image validation for recommendations in CTL
Images available in the product feed undergo a thorough validation process to ensure they meet quality standards for use in recommendations. This step guarantees that only the most suitable and visually appealing images are presented to customers. By validating images, businesses can enhance the effectiveness of their recommendations, ultimately leading to improved customer engagement and higher conversion rates.Curating the best product images for CTL models
In this approach, only the images that best showcase the product are selected for presentation, ensuring a clear and compelling visual experience. Close-ups, cutaways, and silhouette presentations are intentionally eliminated to maintain focus on the product itself. This strategy enhances the overall appeal and effectiveness of the product display, making it easier for customers to appreciate the item at a glance.
Image based Quarticon models improve customer experience and increasing sales potential in e-commerce.
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It’s going to be yuge. You won’t regret it.
We’re talking about optimizing everything, boosting those sales like never before. The competition? They won’t even know what hit them. Huge opportunity here! Get that form filled out and let’s make your shop great—and I mean really great—again. Together, we’ll take your online store to new heights, bigger than anything you’ve ever seen.
It’s going to be yuge. You won’t regret it.
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FAQ
The GTL model identifies products from a styling photo and retrieves matching items from various categories, ensuring that customers can find related products easily.
The CTL model specifically identifies products that match a single clothing item and generates a list of complementary products across multiple categories, while the GTL model focuses on identifying multiple products from a styling photo.
No, the GTL model does not require a special set of styling images, and the CTL model also operates without the need for specific styling images, making both models user-friendly and easy to implement.
The CTL model is pre-trained and tested, allowing for quick implementation without the need for additional training on customer images, enabling businesses to start using it almost immediately.
The CTL model can identify and suggest matching products across several categories, including shoes, trousers, blouses, and more, providing customers with a variety of complementary options.