Commerce Unlocked #7: One Stack for Retail AI: From transactional planning to agentic intelligence built natively on Databricks. Register Free →
Commerce Unlocked #7: One Stack for Retail AI: From transactional planning to agentic intelligence built natively on Databricks. Register Free →
Laura Wishingrad specializes in ecommerce personalization, customer data platforms (CDP), and omnichannel customer engagement strategies. Her expertise includes personalized product recommendations, algorithmic decisioning, conversational AI, analytics instrumentation, and UX-driven product design focused on helping enterprise retailers deliver more relevant shopping experiences. She focuses on building personalization strategies that align customer experience, data, and business outcomes across digital commerce channels. Laura writes about ecommerce personalization, recommendation engines, customer engagement, conversational AI, and digital experience optimization.
Digital Experience Personalization
Let’s face it—customers nowadays expect deeper and relevant communication, not cookie-cutter-styled messaging across every channel.
Deliver a best-in-class customer experience, increase online sales, and drive operational efficiency at scale
AI-powered social proof that reads every context and serves what converts.
