![]() ![]() Pinterest launched its visual search functionality back in 2015, which is now used to complete 600 million visual searches every month, up 140% year-on-year. Source: Bookmark Content and Communications 5 Innovative Companies Leading Visual Search 1. Will your organization be an early adopter to grow E-commerce revenue? Take RocketSpace's recently launched Innovation Benchmarking Brief to receive customized recommendations for your innovation initiatives. Uncluttered imagery, as well as up-to-date metadata, will organically boost SEO.Īs such, it is estimated that by 2021, early adopter brands that redesign their websites to support visual and voice search (think Google Home and Amazon Alexa) will increase digital commerce revenue by 30%. These statistics, coupled with the increased use of social media for product discovery, is an indicator that retailers and brands must optimize image content to ensure they future-proof themselves for visual search. That’s all very well and good, but what does this mean to businesses today? Currently, only 8% of retailers have built-in image search into their e-commerce sites however, recent studies in both the US and the UK have shown that 62% of millennials want visual search capabilities more than any other new technology. This certainly helps deliver a more frictionless retail experience allowing customers to find what they want, faster.Īccording to recent studies, the global visual search market is estimated to surpass $14,727m by 2023 forecasted to grow at CAGR +9% between 2018–2023. With the help of AI, visual search returns the most relevant results possible based on similarities, such as color or a particular style. ![]() Instead of asking humans to think like computers (as textual search does), visual search interprets the image using visual clues as well as the image’s metadata. Visual search will be able to shorten the path to action as consumers search for products. While the online purchasing journey of a customer should be a simple process, in many cases the journey from ‘seeing’ a product to buying a product is a friction-filled path that often leads to no-purchase at all - just one in three Google searches results in a click. Visual search is “ the ability to use an image to search for identical or related visual assets.” If, as the saying goes, a picture is worth a thousand words, visual search can undoubtedly save thousands of minutes on inaccurate search queries. We identify images within 13 milliseconds, and 90% of all the information received by the brain is visual. What if there was another way?Įnter visual search. After what seems ages, an irrelevant selection of products appears on your screen, and the person beside you gets off the train. You turn to your phone to see if you can find it online, but what to type? How to describe this jacket? Blue, with white stripes? White with blue stripes? Mid-to-short length? Funky patterned cuffs? So many questions and so many vague search terms come to mind when trying to guess the exact search terms to find this coat. “2020 has launched our industry several years forward, presenting brands and retailers with a new reality and a new standard for customer experience.Imagine, you are on the train, and you see the person opposite you wearing the jacket you never knew you wanted. It has also brought with it tremendous change, including the rapid acceleration of e-commerce adoption,” Ofer Fryman wrote in a company blog post announcing the round. ![]() “This year has been and continues to be enormously challenging for individuals and businesses alike. Helge Voss an expert in machine learning and a senior researcher at the CERN particle collider in Switzerland. Syte was founded by Lihi Pinto Fryman (CRO), her husband Ofer Fryman (CEO), and her brother Idan Pinto (COO). Shoppers can also upload photos of their own clothing items and receive various styling references from Syte. The company's technology enables users who are searching for a particular item on online stores to take a photo of it and receive the most similar product among those sold on the platform. Photo: Ariel Geifman Founded in 2015, Syte develops AI-based visual search software that has been adopted by some of the world’s leading fashion and home design brands, including Tommy Hilfiger, Marks & Spencer Farfetch, and Boohoo. ![]()
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