• Webinars
  • Drive Hyper-personalized Experience with Recommendation Engine

Log In to Continue

Please fill the correct email

If you haven't signed up, please do so by filling out the form on the right → Please sign up for the webinar.

Drive Hyper-personalized Experience with Recommendation Engine

Tuesday, Oct. 20, 2020 | 11:00 AM - 11:10 AM UTC+2:00

View More

Overview

We are in a particularly exciting time when it comes to retail experience as people are using data technology for potential purchases. This offers retailers a unique opportunity to transform the way they interact with customers. Retailers using AI to its fullest potential will be able to influence purchases in the moment, anticipate future purchases, and guide shoppers towards the right products in a regular and highly personalized manner.

Alibaba has accumulated extensive AI and data intelligence supporting retail innovation. In this keynote speech, Yuefeng Sun, Data Intelligence Architect of Alibaba Cloud, will show you in 10 minutes how Alibaba Cloud helps resolve two key questions in retail:

  • How to reduce your customer’s searching time and make their shopping experience more smoothly?
  • How to provide only relevant information at the right moment to your customers so that they feel more understood?

Topics

  • Every customer deserve online VIP shopping experience
  • How recommendation engine works
  • Combine Big Data and Real Time Computing to better serve your customer

Speaker(s)

  • Yue Feng

    Retail Data Technology Architect, Alibaba Cloud

    Yuefeng is Alibaba Cloud Evangelist, especially on New Retail solutions. He worked as specialist on Business Intelligence, Financial Performance Management and delivered many data projects for Capgemini and Salesforce (Tableau) before joining Alibaba.

Sign Up Now

Log in with your Alibaba Cloud account to sign up for this webinar.

Or fill out the form below to sign up.

Thank you for signing up. Sign up for Other Users

Recommended Webinars

Explore More
Sign Up for the Webinar