Rosetta.ai is a 1-to-1 personalization platform that helps ecommerce businesses increase sales and conversions. It uses AI-driven visual recognition and specialized personalization tools to identify shoppers’ preferences and make tailored product recommendations.
This platform helps merchants to build better relationships with customers by offering personalized online experiences. It also uses AI-driven Hesitant Customer Detection to engage shoppers when they begin to churn and offer just the right deal at just the right time.
It is especially effective for fashion, cosmetics, and accessories websites. It provides 7 different types of personalized recommenders, static or exit-intent banners, and Visual AI Preference Analytics to gather unique consumer insights and truly personalize the site.
The platform is used widely by over 2000 SMB websites and some top brands, such as L’Oréal, Lancome, Kiehl’s, Shu Uemura, and SOLE, and has achieved an 80x average order value increase, 80x conversion rate increase, and 80x revenue per visitor increase. It supports top ecommerce platforms in Asia and Shopify for its global clients.
More details about Rosetta
What kind of businesses is Rosetta designed for?
Rosetta is designed for ecommerce businesses seeking to enhance their sales and customer retention rates. It’s effective for fashion, cosmetics, and accessories websites. It’s used by over 2000 SMB websites and top brands such as L’Oréal, Lancome, Kiehl’s, Shu Uemura, and SOLE.
How does Rosetta use AI-driven visual recognition?
Rosetta uses AI-driven visual recognition in its Visual AI Preference Analytics feature. This recognizes the product attributes their shoppers desire as they browse through the website. This detailed visual recognition helps in creating individual preference profiles and in providing personalized and accurate product recommendations.
What kind of data does Rosetta.ai use for its customization?
Rosetta.ai uses first-party customer data gathered from interactions on the ecommerce website. The data derived from Visual AI Preference Analytics helps to understand which product attributes the shoppers want as they browse the site and assists in building preference profiles.
What are the different types of personalized recommenders provided by Rosetta?
Rosetta offers seven different types of personalized recommenders. These are all optimized for fashion-related ecommerce, with algorithms fine-tuned to the needs of their best clients. They work based on real-time individual preferences to yield effective results.
What are the specific product recommendations that Rosetta provides?
Rosetta provides product recommendations based on shoppers’ individual preferences. These recommendations come from seven different types of recommender systems optimized for fashion-related ecommerce, fine-tuned to the needs of their best clients. These recommenders are real-time and thus yield results effectively.
