BayesiaLab
Customer Preference Sequencing for Better Customer Engagement

🇮🇳 Customer Preference Sequencing for Better Customer Engagement

Presented at the 8th Annual BayesiaLab Conference on October 30, 2020.

Abstract

Today, brands are out of sync with customers’ needs and preferences when it comes to personalized marketing. The focus of the talk is to highlight how Course5 is developing a solution leveraging causal discovery framework to develop ‘Customer Preference Sequencing’ - a customer genome which can generate hyper-personalized recommendations of Product, Price, Promotion & Messaging & communication to ensure brands engagement with their customers stay relevant with customer’s changing needs & preferences.

In my talk, I demonstrate how Course5 is disrupting the space of hyper-personalization with its new solution offering and why it is important for industry to consider and adopt such solution in challenging times we are in.

Presentation Video

About the Presenter

Zabi Ulla S, Sr. Director Advanced Analytics, Course5 Intelligence (opens in a new tab)

Zabi comes with 15+ years of experience in applied artificial intelligence and data sciences. He has worked for marque clients such as Lenovo, Intel, Microsoft, YouTube, Del Monte, Wrigley, T-Mobile, etc. enabling digital transformation using A.I.

Zabi in his current role leads applied artificial Intelligence and data science practice with Course5 Intelligence. In his previous stint with other companies, he has experience in designing and executing machine learning models and developed teams in niche solutions.

Zabi comes from applied statistics background. He has a master's in statistics and recently selected as Top 40 data scientists in India by Analytics India Magazine. Zabi carries acute interest in machine reasoning, causal inference, experimental designs along with machine learning and data science.

Previous Presentations

  • Knowledge Elicitation & Application (Durham, 2019)

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