Increase Conversions With Similar Product Recommendation Engine
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Our Visual AI technology enables you to offer your site visitors visually similar products during their online journey and encourage them to discover more of your catalog. Product recommendations can instinctively influence customers in their decision to purchase an additional item, based on the similarity of what they already liked, and increase your average order value

Pixyle's image recognition software enables you to deliver great online customer experiences. It's accurate, powerful and integrates seamlessly with your tech stack.

Visually similar product recommendations for t-shirt.Similar white tees

Why similar product recommendations?

The intelligent similar product recommendation engine by Pixyle will assist you in personalizing the entire consumer experience of your e-commerce store with similar product recommendations. By incorporating a similar product recommendations engine, you can easily recommend alike items, improve the visibility of your products, provide better and more relevant offerings, and increase your conversions and AOV.

Go one step further and improve your retail store personalization with Visual AI. Recommend products which are similar to what your customers have already liked. Don’t miss out the chance to create a seamless shopping experience that improves customer retention and boosts sales.

Image of boots, jeans, and sweater.
Similar recommendations process for an out of stock black dress.

No product available? No problem.

Out-of-stocks don't have to imply the end of the shopper's journey. You can now turn them into conversions by using personalized product recommendations that are most visually similar to the products that online shoppers were considering. This way, you’ll increase the likelihood of making a conversion. What is more, by accurately recommending products that your visitors like, you’ll keep your customers longer on your website, and reduce your bounce rate. 
Shoppers that clicked on product recommendations show 4.5x higher basket rates and 5x higher per-visit spend.

Suggest more of what your customers really want

Search these days is really about understanding intent., Fashion e-commerce retailers that are capturing intent and also using it to improve the customer’s journey, will win the shoppers in online retail. Our algorithm is very effective in processing images and finding the visually similar-characteristics of your fashion product, so that you can delight online shoppers by showing visually similar products to any fashion item they're looking at.

“80% of consumers are more likely to buy when a company offers a personalized shopping experience” - (Epsilon). Improve customer satisfaction in their buying journey and recommend the most visually similar and relevant products. Allow your customers to search for new and similar styles to make the combinations they like. Discovering the right products has never been easier with our similar product recommendation engine.

Image of a girl in a black tank top with visually similar items.
Girl and boy wearing black and white outfits posing for a photoshoot.

Boost conversions with more relevant items

E-commerce product recommendations can account for up to 31% of online retail revenues. Don’t miss a chance to improve conversions by customizing the online store offering for each customer. Be the most-needed fashion assistant for your visitors and help them make their perfect choices. Providing this unique experience will help you retain customers longer and motivate them to come back for more.

Accuracy is guaranteed—thanks to AI

Our technology based on Artificial Intelligence and Machine Learning analyzes the fashion attributes of your product images the customer is looking at, to find the most similar ones in your catalogue. The product recommendations section displays the most related products to the customer, enriching your offering and providing product suggestions based on your customer preferences. Never doubt that you give meaningful and accurate product recommendations thanks to the ability of the machine learning algorithms to precisely process images in real-time. Show the right information to users, at the right time.

Similar recommendations process for a yellow top.

Suggest more of what your customers really want

Search these days is really about understanding intent., Fashion e-commerce retailers that are capturing intent and also using it to improve the customer’s journey, will win the shoppers in online retail. Our algorithm is very effective in processing images and finding the visually similar-characteristics of your fashion product, so that you can delight online shoppers by showing visually similar products to any fashion item they're looking at.

“80% of consumers are more likely to buy when a company offers a personalized shopping experience” - (Epsilon). Improve customer satisfaction in their buying journey and recommend the most visually similar and relevant products. Allow your customers to search for new and similar styles to make the combinations they like. Discovering the right products has never been easier with our similar product recommendation engine.

Girl and boy wearing black and white outfits posing for a photoshoot.

Accuracy is guaranteed—thanks to AI

Our technology based on Artificial Intelligence and Machine Learning analyzes the fashion attributes of your product images the customer is looking at, to find the most similar ones in your catalogue. The product recommendations section displays the most related products to the customer, enriching your offering and providing product suggestions based on your customer preferences. Never doubt that you give meaningful and accurate product recommendations thanks to the ability of the machine learning algorithms to precisely process images in real-time. Show the right information to users, at the right time.

Image of a girl in a black tank top with visually similar items.

Boost conversions with more relevant items

E-commerce product recommendations can account for up to 31% of online retail revenues. Don’t miss a chance to improve conversions by customizing the online store offering for each customer. Be the most-needed fashion assistant for your visitors and help them make their perfect choices. Providing this unique experience will help you retain customers longer and motivate them to come back for more.

Similar recommendations process for a yellow top.

Why similar product recommendations?

The intelligent similar recommendation engine by Pixyle will assist you in personalizing the entire consumer experience of your e-commerce store with similar product recommendations. By incorporating similar product recommendations you can easily recommend alike items, improve the visibility of your products, provide better and more relevant offerings, and increase your conversions and AOV.

Go one step further and improve your retail store personalization with Visual AI by offering products which are similar to what your customers have already liked. Don’t miss out the chance to create a seamless shopping experience that improves customer retention and boosts sales.

Image of boots, jeans, and sweater.

No product available? No problem.

Out-of-stocks don't have to imply the end of the shopper's journey. You can now turn them into conversions by using personalized product recommendations that are most visually similar to the products that online shoppers were considering. This way, you’ll increase the likelihood of making a conversion. What is more, by accurately recommending products that your visitors like, you’ll keep your customers longer on your website, and reduce your bounce rate. 

Black dresses given as a similar alternative to the one that is out of stock

Suggest more of what your customers really want

Search these days is really about understanding intent., Fashion e-commerce retailers that are capturing intent and also using it to improve the customer’s journey, will win the shoppers in online retail. Our algorithm is very effective in processing images and finding the visually similar-characteristics of your fashion product, so that you can delight online shoppers by showing visually similar products to any fashion item they're looking at.

“80% of consumers are more likely to buy when a company offers a personalized shopping experience” - (Epsilon). Improve customer satisfaction in their buying journey and recommend the most visually similar and relevant products. Allow your customers to search for new and similar styles to make the combinations they like. Discovering the right products has never been easier.

Similar black spaghetti tops given as recommended to the one the customer is currently viewing

Boost conversions with more relevant items

E-commerce product recommendation can account for up to 31% of online retail revenues. Don’t miss a chance to improve conversions by customizing the online store offering for each customer. Be the most-needed fashion assistant for your visitors and help them make their perfect choices. Providing this unique experience will help you retain customers longer and motivate them to come back for more.

Girl and boy wearing black and white outfits posing for a photoshoot.

Accuracy is guaranteed—thanks to AI

Our technology based on Artificial Intelligence and Machine Learning analyzes the fashion attributes of your product images the customer is looking at, to find the most similar ones in your catalogue. The recommendation engine displays the most similar products to the customer, enriching your offering and providing product suggestions based on your customer preferences. Never doubt that you give meaningful and accurate recommendations thanks to the ability of the machine learning algorithms to precisely process images in real-time. Show the right information to users, at the right time.

Girl and boy wearing black and white outfits posing for a photoshoot.

Similar Product Recommendations will help you to:

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Increase average order value

Significantly boost revenues by making images of the latest fashion trends instantly shoppable. Use the last moment before purchase to display similar items to those that are already in the checkout cart. Don’t miss conversions because of non-targeted offers and increase your average order value with smart recommendation systems.

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Turn out of stock situations into opportunities

Capitalize on your customers’ attention while you still have it and turn your out-of-stock events into conversions. Use recommendation systems to show that you have a really rich offering and don’t let visitors bounce. Improve customer retention with recommended products they will definitely like.

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Improve product visibility

Improve the shopping experience and enable your visitors to discover more of your catalogue in as few clicks as possible. Increase the visibility of your products by showing them more often, providing even more alternatives for your website visitors, and accenting your rich offering.

Increase your average order value
Unlock new revenue by making images of the latest fashion trends instantly shoppable.
Turn out of stock situations into opportunities
Capitalise on your customers’ attention while you still have it and turn your out-of-stock events into conversions.
Improve product visibility
Simplify the online shopping experience and enable your visitors to discover more of your catalogue in as few clicks as possible.

Why choose Pixyle?

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Experts in fashion

Pixyle has the largest knowledge-base for fashion, giving us the highest level of product understanding. We've developed a deep focus on clothing and apparel, and it's all about visuals.

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Serious about accuracy

We care deeply about accuracy. We are scientists. We predict, test and iterate. It's in our DNA to question everything and look for correct answers instead of easy answers.

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Powerful AI

Our AI-powered software is fast. Your customers will see visually similar results within only 0.2 seconds. We care deeply about customer experience and so does our AI software.

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Seamless integration

Easily integrate our API within your technology stack. Pixyle is a visual AI layer that can be used with any technology systems you currently have. It's easy to implement, and easy to use.

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Inspire your customers with relevant product recommendations

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