Transforming Visual Excellence for Cuddlynest with AI Solutions

CASE STUDY

CuddlyNest consulted us to transform their image management process using AI. Through innovative solutions in image enhancement, watermark removal, and automated classification, we helped elevate their listings to deliver a consistent, high-quality visual experience for their users.

Challenge

CuddlyNest faced a significant challenge in managing over 450 million images linked to their 1.3 million active property listings. While images play a crucial role in helping users explore and decide on properties, the quality and consistency of these images were not up to the mark. Low-resolution images, poorly positioned photos, and those with watermarks were common issues, often creating a negative user experience. Additionally, the visual data from these images was not fully utilized to classify properties or improve search filters, which affected the platform's ability to deliver seamless and high-quality service to its users.

Problem Statment

The vast collection of images included several problems. Many images lacked clarity in terms of resolution and contrast, failing to highlight the property features described in the listings. Some images were poorly oriented, and many carried watermarks from third-party partners, which hurt CuddlyNest’s branding. Additionally, there was no system in place to consistently assess image quality, automatically enhance images, or remove these watermarks
Beyond quality issues, there was also an opportunity to better utilize image content. For example, identifying objects within the images and classifying properties based on these objects could significantly improve the user experience by tailoring search results to what users wanted. To address these challenges step-by-step, we as an AI consulting firm focused on automating solutions for image scoring, enhancement, watermark removal, positioning, object detection, and classification.

Outcome

Through our AI-driven solutions, we helped CuddlyNest completely transform its image management process. An automated image scoring system was developed to rank images on quality and identify those needing enhancement. This was complemented by an AI-powered image enhancement tool, which improved the clarity and resolution of low-quality images, bringing them up to a consistent, high standard.

For images with watermarks, we created a model to detect and quantify the affected images and then remove the watermarks or replace them with clean versions. Another AI system was trained to automatically adjust the orientation of improperly positioned images, ensuring all photos were visually accurate and appealing.

We also developed an advanced object detection model to identify the contents of each image. This enabled the platform to classify properties based on their features, such as pools, bedrooms, or outdoor spaces, making property searches more accurate and personalized. By the end of the project, these solutions resulted in a consistent, high-quality visual experience for users, strengthened brand perception, and enhanced the overall efficiency of property listing management on the platform.

CASE STUDY