Delivering personalized retail promotions using AI and predictive analytics

Presented by

Stephan Visarius and Patryk Koryzna, Segment of One and Carlo Arioli, Micro Focus

About this talk

In the highly competitive retail market, customers have become immune to the bombardment of mass-produced offers, causing 59% of promotions globally to not break even. Customers have grown to expect more relevant, personalized experiences over “one size fits all” campaigns, and this evolution is forcing both brick and mortar and online retailers to rethink how they connect with individuals using highly personalized promotions delivered through their preferred channels. What if you could get ahead of this trend and deliver more effective, relevant promotions by predicting if, what, when and for how much an individual is likely to purchase? Join our latest Data Disruptors webcast to see how helps retailers leverage customer basket and loyalty data to deliver smart, automated promotional decisions at scale across millions of customers. The solution is fully automated and designed to fit a retailer’s specific business goals (i.e. revenues, profit optimization, customer satisfaction or brand sales). The webcast will cover: • How SO1 can track shoppers’ purchasing habits and preferences in real time • How the solution builds an AI generated Promotion Feed which takes individual preferences and retailer goals into consideration • Key aspects of SO1’s cloud-based predictive platform and data architecture components • How Vertica’s performance has accelerated data understanding and preparation to increase productivity for sophisticated AI modeling

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