mobile recognition for online retailers
Snap photo of objects on the go and quickly receive suggestions for similar products out of your catalog.
It is just as simple as See – Snap – Buy!
Today, consumers rely more and more on mobile devices. LikeThis utilizes pictures from a smartphone/tablet as a starting point to find similar items and purchase them directly in your store’s app!
Use LikeThis for different industries:
How it works
In the world where the imagery has become a new currency, and the number of visits coming from mobile devices is constantly increasing, transform the way your consumers are shopping your products. LikeThis makes almost every image shoppable:
Take a photo of a desired product with a mobile device
Get it recognized and be presented with a database of similar products available on your catalog
Make them be purchased directly in the application
Use advantages of latest computer vision and artificial intelligence technologies and incorporate smart and innovative visual search in your online catalog. Shop through just one image – automatically, without any text search and human interaction
Answer the demand for better ways to engage on mobile devices.
Blend online and offline shopping using mobile as a new point of access to your products.
Optimize your customer's experience by making shopping easier.
Reduce the overall search and browsing time and simplify your product discovery.
Drive higher conversions, increase engagement through intelligent product recognition.
Gather useful information on your clients’ needs and tastes.
Hi-tech is now available for everyone!
Smart and intelligent visual search technology is knocking on the door of online shopping, offering advances for many industries. Are you in?
Fashion segment is becoming more and more reliant on mobile, incorporating visual search into existing marketing strategies.
Instead of using images on a screen and endlessly flipping through product pages, let your customers discover fashion.
Use LikeThis to make your consumers shop directly from «aha!» image sources (e.g. street looks, or trendy pictures in a fashion magazine), save their time in finding what they truly want and give them inspiration and fun.
Jewelry & Bijouterie
LikeThis helps out, when it is difficult to find a specific piece of jewelry using a text query. This is especially true when your customer lacks certain information or does not know how to describe a certain item.
Visual search technology allows to refine the searches beyond keywords and recommends products based on visual similarity, complementary styles and fine features that are crucial for your customers, even if they are not aware of it.
Image recognition meets people where they're at, merging the real world of the shopper with the retailer's digital presence.
LikeThis aids customers who are «spear fishing», i.e. searching for a specific, «this very» product – a common situation for the furniture segment. Avoiding keyword-matched search, LikeThis reads pictures pixel-by-pixel and offers more targeted results that appeal to this kind of clients.
Parts and Details
Equipment parts and details are a kind of staff you cannot describe in words so easily. Often we do not know what it is even called, and need to put much effort to get these details. LikeThis helps discover your catalog of equipment pieces more effectively and empowers your customers with the ability to find an exact match of the detail they are searching for.
Although details and parts may seem an unlikely field for mobile innovation, LikeThis has successfully brought image recognition to the restaurant parts mobile application of PartsTown: PartsMATCH allows customers to take 3 photos of their part, answer several questions, and get back the most precise visual matches from among hundreds of manufacturers, thousands of models, and tens of thousands of parts.
LikeThis is available for licensing. License eliminates all restrictions on the number of requests (unlike a CPA model) – you can use the system limitless within your organization. License fee includes:
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