Omnichannel personalization is the practice of increasing shopping conversion, by showing each shopper the products that she is more likely to buy.
Taste Profiles to understand the shopper
Omnichannel personalization solutions build a Taste Profile of each shopper, by registering her interactions in all of the brand channels: web, app, physical store, voice interfaces, and more.
The Taste Profile of each shopper is what Spotify, Netflix or Pinterest build to understand each shopper. In the case of fashion, the Fashion Taste API works with fashion retailers and builds the taste profile of each of shopper.
Omnichannel personalization and Taste Graphs
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 Fashion Taste API has described 5 Examples & Videos of Customers Interacting with Omnichannel personalization solutions. They range from Digital Closets, to In-Bedroom Fashion Stylists, or to any type of personalized recommendations of products and clothes.
Further details on understanding the shopper
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.