Nordstrom: How to Leverage the Deluge of Data as a Competitive Advantage

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Retailers are facing intensifying challenges including stagnation in brick-and-mortar sales, increase in e-Commerce offerings and sales, and changes in consumer browsing and purchasing behaviors. Realizing that data is one of its most valuable assets, Nordstrom is leveraging machine learning to secure a competitive advantage, remain afloat and survive the Amazon Era. Is it maximizing the value it can generate from ML?

Machine Learning in Airline Loyalty Programs

Airline loyalty programs (also called Frequent Flyer Programs) have become a new source of high margin income for traditional airline companies. Meanwhile, loyalty programs also generate massive amount of data on customer behaviour as people spend and collect their points. Applying machine learning tools to understand the preferences of those frequent flyers, most of whom have strong spending power, will enable an airline loyalty program to monetize on areas beyond travel. Qantas Australia is the leader in adopting a data-centric approach to manage their loyalty business.