Product discovery challenge: The availability of a wide range of products in their catalog from more than 300 designers made product discovery a challenge.
Low customer engagement on the website: Low engagement on the website led to customers dropping off without purchasing products.
Lack of personalization: The unavailability of an AI-powered product recommendation engine made it difficult to curate personalized experiences for each user.
Falling customer interest: Because of lack of personalization, the customers’ interest in the website was reducing.
Netcore’s AI-led personalized product recommendation strategy helped Once Upon A Trunk to:
Understand their customers and show them personalized product recommendations by deploying the AI engine, Raman & Neural Networks
Design and deploy AI-led personalized product recommendation widgets across the customer journey:
Product Listing Page
Product Display Page
Personalized Product Boutique
Exit Intent Pop-up
Engage customers who are about to exit the website, through exit intent pop-ups
For Once Upon A Trunk, we wanted to ensure our customers have a personalized experience considering the massive catalog on our online store. To achieve this, we implemented personalized widgets on the Home page, PDP, and PLP that studied user preferences and shared product recommendations customized for each user. As a result, we observed a contribution of 28% in overall revenue within 90 days