His expertise focuses on analyzing, modeling and forecasting customer behavior in data-rich environments. His primary research, teaching and business consulting interests are focused in areas of retail and digital services, customer value and relationship management, and marketing models for customer-base analysis and decision support. In his research projects, Thomas works in interdisciplinary teams and employs advanced statistical, machine learning methods and AI-enabled tools to provide decision support for various business applications. Ongoing projects include applying generative AI models for content marketing, dynamics in evolving customer-firm relationships, models for customer valuation and target marketing. Thomas' prior research has appeared in leading marketing and operations management journals.
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