Visual search uses artificial intelligence to help people search through the use of real-world imagery, rather than through a text-based search.
So, when a person takes a photograph of an object, using Google Lens, for instance, the software identifies the object within the picture and provides information and search results to the user.
This technology is particularly useful for eCommerce stores and brands. With the implementation of well-optimised content, they could stand the chance of being the returned search result for a user.
Why is Visual Search Important?
Visual search has the potential to change the way we interact with the world around us.
Our culture is already very visually dominated, and so it seems natural that we would use an image to start a search. After all, when we shop offline, we rarely start with text. The visual search brings that sense of visual discovery to the online world.
Moreover, we often want to find a new look, outfit, or theme, rather than a single object. Visual search technology helps to tie these items together based on aesthetic links in a way text has never been able to capture.
Google, Amazon, Pinterest, Bing, and a host of retailers have all developed their visual search engines, and their collective weight will surely see the technology’s use take hold very soon.
As part of a broader trend, visual search can be packaged under ‘sensory search’ alongside the well-documented growth of voice search and the introduction of more tactile interactions with websites. However, the technology is still in its infant stages and has a long way to go.
Benefits of Visual Search:
With Okkular’s Visual Search, retailers can provide personalised recommendations and improve user engagement based on similar products prediction by Okkular’s AI from your product catalogue. Use the selection of products predicted by Okkular to send a personalised nudge to your users via email, during cart abonnement and on many other occasions.
Reduce time from search to buy for your customers and amplify your sales by displaying more relevant products from your product catalogue. Visually cue you, customers, with similar items while the customers are going through the catalogue – this helps reduce cart abandonment. With each recommendation, you reach closer to the customer desired object.
Strengthen your SEO:
It is no doubt that visual is beneficial to e-commerce; consumers that are looking to buy may already have their desired product in mind. Chances are they know the make, model, and colour but it’s just a matter of finding it on the eCommerce site. Fussing with keywords and drop-down menus can overcomplicate the process, especially if there is a massive stock.
However, with visual search, consumers will be able to find what they’re looking for without all the trouble. They can refine their search better without even using any keywords. Streamlining your on-site e-commerce search will make it more user-friendly, as well as strengthen its search engine optimisation.
Amplify conversion and retention by helping your customers discover what they want quickly and easily from your catalogue. Customers who have used Visual search have seen an uplift of over 100% increase in conversation rate and over 2X times uplift in engagement and average session duration on eCommerce pages.
Key Data Analytics:
Use the data from product selection predicted by Okkular to understand your inventory better. Use the data from customer engagement to understand your customer persona and better merchandising and buying decisions.
Okkular is a Melbourne based Australian tech startup. We leverage AI and deep learning to create solutions for retailers to improve customer experience, reduce costs by automating labour-intensive task and drive sales with insightful automation and personalisation. A pioneer in our industry we have some of Australia’s biggest eCommerce and retail brands working with us the likes of Myers, Kookai, Blue Bungalow to name a few. To find out more about us and our offerings head to www.okkular.io