Design Recommendation

Design Recommendation that predicts customer preference and recommends customized designs

AI-powered Design Recommendation

The design recommendation phase predicts the customer's preference for engineering-optimized designs and recommends customized designs to the target audience. Design aesthetics and satisfaction are one of the most important factors influencing consumers' product choices, and customers' data must be learned to resolve design-performance conflicts and determine optimal design concepts.

Find optimal designs for individuals and for the market based on customer preference prediction

Learning design preferences through data
Learning
Personalized recommendation
system for individuals
Personalized
Finding the balance between performance and aesthetics
Balance
Contact us to discover new opportunities for new growth and progress
Interested in our solutions? Propel your business with our AI technology solution customized to your needs
Product Inquiry