Home Insights Case Studies Enhancing product discovery with computer vision for a leading on-demand digital printing marketplace

Enhancing product discovery with computer vision for a leading on-demand digital printing marketplace

Enhancing product discovery with computer vision

Embark on a transformative exploration into the realm of advanced product discovery, where artificial intelligence, deep learning, and computer vision converge to redefine the way users interact with digital commerce platforms. Our latest case study delves into the revolutionary strategies that have reshaped the landscape of product search and recommendations, presenting an array of remarkable achievements that have elevated user engagement, conversion rates, and overall satisfaction for an online marketplace retailer.

Discover how the power of deep learning algorithms and cutting-edge computer vision techniques enabled our client to overcome the challenges of navigating vast product catalogs, unveiling a seamless pathway for users to find exactly what they’re seeking. Witness the impact of these innovations through tangible results, from a remarkable 72% increase in the add-to-cart ratio to an extended 15-second engagement on product detail pages–each statistic painting a vivid picture of enhanced user experience.

But the innovation doesn’t stop there. Explore how personalized recommendations, powered by OpenAI’s CLIP deep learning model, have ushered in a new era of visual discovery. By presenting users with visually similar artworks and designs, customers are not only connected with products they love but a collaborative environment for artists is also fostered.

As you delve into the case study, you’ll uncover how our team harnessed the capabilities of Amazon’s technology stack, including Elastic Kubernetes Service, Elastic Compute Cloud, and OpenSearch, to develop an ML solution that clusters millions of designs with astounding accuracy. Witness how colorway-based interactions have not only boosted conversions but also streamlined user navigation, making the hunt for the perfect design a seamless journey.

From empowering users to find the right colorway to guiding them toward unexpected gems, this case study showcases the potential of deep learning, computer vision, and advanced recommendation systems to revolutionize the way we discover and engage with products.

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