Abstract: Digitization has led to enormous amounts of content across different channels, significantly impacting customer’s attention span. To improve customer attention, e-commerce organizations are focusing on providing higher user experience during the shopping journey through hyper-personalization across content and offers. These hyper-personalization efforts can improve customer experience and organization top-line revenue by up to ~15%.
In this session, ZS will demo its Personalize.AITM (P.AI) application which integrates directly with an organization’s data ecosystem to provide customer-level recommendations. The P.AI system combines heterogeneous datasets including customer-level interactions, demographic data, loyalty program, marketing offers and item properties to optimize the customer experience by providing personalization. We’ll share how the solution provides a scalable ecosystem with 6 core capabilities: promotion design, auto-feature engineering, advanced micros segmentation, item-offer recommendation, dynamic test-control, and customer targeting.
Learn how P.AI application is applied to the E-commerce industry and how it has helped transform customer experience for firms.
Bio: Gopi brings 12-plus years of consulting and executive experience to his role as associate principal. The projects he leads are focused on big data, advanced data science, customer analytics, pricing, and sales and marketing effectiveness. Gopi is a seasoned decision science and analytics executive with extensive expertise in retail, gaming and hospitality, pharma, and P&C industries. He has led several large data and analytics transformation engagements for multiple Fortune 500 firms and helped them scale their data science capabilities to drive top-line and bottom-line growth. Gopi holds a master’s of technology in advanced communication systems and a bachelor’s of technology in electrical engineering from IIT Bombay.