Those who know us also know Complete the Look, our recommendation tool. It can be used to create Looks (previously Picalike slang for outfits) that can be scaled across the entire range with just a few clicks. So a Look is kept alive almost indefinitely thanks to our unique image recognition and artificial intelligence. (For a quick look, check out our video)
What CTL looks like practically for fashion online stores?
This can be seen in the example of our customer Madeleine. Complete the Look is used there under the designation “Matches”. Picalike’s image recognition technology suggests other items that could go with the desired blazer, for example. But not only that. With its similarity analysis, the tool searches Madeleine’s entire product range for other items that can be used to replace a product if it is sold out. This creates a win-win situation for the customer and the retailer, as it suggests a never-out-of-stock feeling and Madeleine can play out the entire range of its assortment without having to manually enter new outfit suggestions into the CRM every day. (For more information: here is our case study on Madeleine)
This is all old hat?
Then here comes the big news: the beautiful word “looks” from Complete the Look is no longer limited to outfits! Because now, with our technology, it’s also possible to furnish rooms. Especially now, when so much time is spent in one’s own four walls, it is even more important to furnish oneself in a way that one likes to be at home. This is also clearly shown by the statistics on what was shopped for online last year in particular. Of course, we want to support our customers and help them achieve even better sales.
What CTL looks like in practical terms for furnishing online stores, in turn?
You can see this very well in the example of another of our customers. The store itself can create countless living styles, completely without elaborate photo shoots. In the following example, a room is decorated in a cozy country style.
And the look is already online and “re-buyable”. Just like the Madeleine example, sold-out items are always replaced and scaled across the entire range. With little effort, a very diverse result is achieved.
Sounds exciting? Then try our demo!