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AIR: Personalized Product Recommender System for Nike's Digital Transformation

1 ABSTRACT Advances in machine learning, data engineering and cloud computing over the past decade have led to the proliferation of industrybased applications harnessing this power. Traditional non-digital first companies have realized the tremendous value data-driven approaches can bring to their organizations, often resulting in process, organizational and technical restructure to leverage these capabilities en masse, commonly referred to as digital transformation [1]. Nike, founded in 1972, is a fortune 100 American multinational corporation and is the world’s largest supplier and manufacturer of athletic shoes, apparel and sports equipment [2]. Traditionally employing a wholesale and brick-and-mortar sales model, Nike has been transforming itself towards a digital-first e-commerce business model with on-platform sales expected to accelerate beyond 50% in the next few years [3]. Our goal is to unify all personalized recommendations across Nike.com, Nike App and SNKRS, globally. This enables Nike to anticipate and respond to a holistic picture of the consumer throughout their journey and with a multi-stakeholder perspective. We strive to provide the right product at the right moment for consumers while simultaneously considering their historical cross-experience context and the current demands of the business. It enables us to respect consumer privacy preferences consistently. It also provides