Sentence examples for personalize product from inspiring English sources

However, the ability for LendingTree to lock in customers and accumulate customer data to personalize product recommendations is a breakthrough for both consumers and lenders.

A graduate of Science, Uncovet is an accessories and home décor site that is building a style graph to personalize product recommendations.

Examples of who is currently using PredictionIO include Le Tote, a clothing subscription/rental service that is using PredictionIO to predict customers' fashion preferences, and PerkHub, which is using PredictionIO to personalize product recommendations in the weekly 'group buying' emails they send out.

In particular, the British agency said it intended to look at how companies collect information about consumers' browsing histories, purchases, demographics and digital devices, as well as how they may use all that data to personalize products and prices.

And Tinkercad, a division of Autodesk, doesn't even require a software installation for it to provide its users with simple design programs while also incorporating incremental lessons.Mixed Dimensions is also working to embed its technology onto other companies' sites, so that firms can let customers personalize products before the business prints them.

"The acquisition of Penguin Digital supports our mobile strategy aimed at giving consumers better ways to engage with their photos and personalize products on the go," Jeffrey Housenbold, president and CEO of Shutterfly, noted in statement.

It's about opening up people's creativity and giving novices access to something they can use to engage with this technology, allowing them to personalize products like they would a musical track.

This paradigm necessitates "personalized product architecting" for determination of customizable/personalizable product modules and cost-effective manufacturing methods.

The challenge is to succeed in a turbulent business environment where all competitors have similar opportunities, and where customer wants personalized product.

This study proposes a social recommender system that can generate personalized product recommendations based on preference similarity, recommendation trust, and social relations.

It aims to enable retailers to build a voice-based store without coding, allowing customers to shop by asking Alexa for a particular product, then receive personalized product suggestions over text or email.