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Here’s a scenario for you: You’ve found the perfect “match” on Tinder, and want to make an impression on your first date. You want to start off by looking for a shirt and find one that you really like. So you click on it to look at its product detail page.
You start looking at the complete image and love everything that the model’s wearing – from the pants that work so well with that shirt, all the way down to the sneakers that look EXACTLY like the ones you’ve wanted for a while. You have no idea how to look for those sneakers – you don’t even know which brand they belong to! All you have is a vague description of the color and the style.
So you go through the painful process of clicking through innumerable pages and search results… without any luck! So after all that effort all that you’ve done, really, is waste lots of time without even buying that shirt. And don’t even get me started on the sneakers!
If only finding the right look was as easy as swiping right!
I’ve been there. And if your shoppers are anything like me, then you should know that it is extremely frustrating for them to see the products that they want, without being able to buy them.
Here’s the good news. We’ve managed to solve this problem with our Complete the Look module which provides Ai Recommendation System, that can power not just your product detail pages but also your cart and checkout pages.
Complete the Look understands your shoppers’ behavioral patterns and visual affinities to products, and also the rules of fashion, to deliver 1:1 personalization (personalization engine). So your shoppers see curated outfits that are foolproof – in terms of style, color, pattern combinations. Complete the Look acts as your website’s AI-powered styling tool, to showcase curated looks that they’ll love, taking visual merchandising to the next level.
We’ve noticed that while shoppers are inspired by the different looks offered as a part of the product images, they also want the individual elements making up the look to be “shoppable”.
On further observation, we realized some other aspects that are important to consider when targeting shoppers looking to buy ensembles:
As we developed an understanding of shopper behavior, we combined it with the rules of fashion to zero in on the parameters which would eventually allow our algorithms to curate ensembles without any manual intervention.
The shopper can view the curated looks and ensembles on the Product Detail Page (PDP) of each item. If an item is not available, the Vue.ai’s Ai Recommendation System proposes a similar item:
The product recommendation engine also suggests complementary items to shoppers, based on their price preferences:
The Ai Recommendation System also suggest items that are similar to the original products the model is wearing within the display image. So you not only get to shop the look, but also get to see alternatives.
This feature relates to the assumption that users want to see an article in more than one look/styling.
We put the feature to the test, going live with it across some of our fashion, furniture and lifestyle customers. We learned that while it works well on the product pages, it yields incredible results on the cart/checkout page. If we were to look at some of the initial results of how it has performed, we learned that it has led to a 1.5x increase in the average order value (AOV) , with the average order size (AOS) doubled across the board.
Considering that this was a completely new feature for our customers, we’d say these numbers are very encouraging. And with a GMV contribution of 25K USD to the revenue from a single widget, we’re ensuring these retailers are not leaving any money on the table. And with our algorithms only getting smarter, we can safely state that AI curated ensembles are the future of retail.
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