The Fashion Taste API algorithms mix and match the clothes of the shopper by using the intelligence generated in its Taste Graph, and filtering by the taste of the shopper, as previously defined by the Taste Profile created of her.
A Taste Graph is the tool to understand the taste of each individual shopper, what clothes she has in her closet, and what are the drivers behind her purchases. A Taste Profile summarizes the taste of an individual shopper, what clothes she has in her closet, and what are the drivers behind her purchases.
You can see a version of this digital closet technology by installing the Chicisimo iOS app.
The video above shows how a shopper is using her digital closet in an iPhone app, and how she is selecting one of her clothes. After doing that selection, the smart wardrobe offers her three services:
First, she sees the other clothes, so she can choose a second garment to obtain the results that we describe below;
Second, she sees complete outfits or ensambles with the first -or the two first- garment she’s selected, and the rest of the clothes in her closet;
Third, the digital closet shows how other women are wearing clothes similar to the one in her selection.
The technology to build this has been developed by the Fashion Taste API:
Watch the 4 best examples of Omnichannel Personalization examples in Retail in fashion retail. Each of these Omnichannel Personalization examples is a real example, and have been built on top of the taste profiles of shoppers. As a result, the experience is personalized to each of them.
1. In-Bedroom Fashion Stylish to WOW shoppers – The first of the Omnichannel Personalization examples
This is the first of our Omnichannel Personalization examples and it brings your catalogue to your shoppers bedroom. First you collect the clothes in your shoppers closet (see the smart virtual closet technology to build virtual closets).
Once you have the closet of your shoppers, then jump into her bedroom is a natural step. We’ve built a voice controlled automated fashion stylist, that will help your customers with their daily outfits. We can program the stylist to display your collection, so she can browse your catalogue while deciding what to wear. This devices will introduce your retail in your customer bedroom. We believe it is the Future of Fashion Retail and ecommerce. If you want to learn about how to grow an Amazon Alexa Skill, please read The Guide to Alexa SEO.
2. In-Store Outfit Recommender. 2nd of the 4 Best Omnichannel Personalization examples in Retail
The second of the 4 Omnichannel Personalization examples in Retail.
The omnichannel experience can reach also your store. Your customer can scan a QR code, and automatically receive ideas to combine the items is planning to buy. And also ideas in real time to create complete looks with garments in your store.
All these ideas, once you have captured the interest of your client in a product, can be sent to your client via notification or newsletter to encourage new purchases and foster ecommerce sales.
3. Smart Fitting Room with Clothes and Outfit recommender
The third of the 4 Examples of Omnichannel Personalization is the Smart Fitting Room. You can read about it in the former link.
The omnichannel personalization technology has been provided by the Fashion Taste API, and their fashion taste graph. You can see below how customers are interacting with smart screens, smart virtual closets and automated personal fashion stylists.
4. Digital closets. 4th of the 4 Best Examples of Omnichannel ecommerce Personalization in Fashion Retail
The forth of the 4 Examples of Omnichannel Personalization is Digital Closets.
Owning the closet of your client, you’ll be able to offer a memorable service that will also increase the effectiveness of any personalized omnichannel ecommerce recommendation. You won’t recommend what she already owns, but what she needs and likes. You’ll behave as a smart personal shopper in her pocket.
The Fashion Taste API digital closet includes a simple and non-friction system to capture the closet of your client. Her closet it’s a great source of information about her taste, her style, the brands she likes, and more.
Our personalization taste graph will combine her clothes, creating outfits as a personal stylist would do. And using the same internal process, they will also create outfits for her with the clothes of your catalog. They will solve her typical question “How could a wear this garment?” before she left your store. She will be more confident with her purchase, and the return possibilities will be totally reduced
From the video it’s easy to extract that you could also offered combinations to your customer, completed with clothes in your shoppable catalog. Anytime and anywhere. You can read about the 3 Services based on digital closets to make the most out of shoppers wardrobes and fashion retail omnichannel.
Let’s finish with an outfit recommender that could be used in your fitting rooms or in ‘Personal stylist spots’ in your shop.
Those are only examples of what you can do understanding your customer, her needs and her closet.
Today we’ve talked about 4 personalized omnichannel examples that will impact in your final customer, creating a useful and memorable experience she won’t forget. All of them are based on the understanding of your customer taste, her needs, her closet and the behavior of similar customers. With all this information captured, you’ll be able offer a personal shopper assistant for each customer. Not only in-store, also at home or whenever she is.
And why a personal shopper experience will have impact in your company? The clear impact points will be:
Retention and fidelity of your customer
Decrease of returns, as your client will be more confident with her purchases
It contains the intelligence generated by shoppers when they interact with a retailer, with its product and through any of its channels.
While Pinterest built its Taste Graph to power its internal personalization, the Fashion Taste API works with fashion retailers to build their own Fashion Taste Graph, retain the shoppers intelligence, and build their unique moat.
Omnichannel personalization solutions in fashion ecommerce
The Taste Profile of a fashion shopper summarizes her taste and the drivers behind her purchases. By having the clean and structured data of the shopper, an omnichannel personalization solution shows the shopper the clothes and products she is more likely to buy, in that specific moment.
Taste Profiles of fashion shoppers include the summary of 5 drivers: what products the shopper tends to like; what occasion she dresses for; what influences drive her purchases, if any; what brands she has in her closet (which can be captured with digital closets); and finally, wether the shopper is likely to buy trends or not.