Embedding AI at the Core of a Shopper Assistant

Two years ago, iAdvize pivoted its offering to fully embrace Generative AI as the driving force behind its conversational solutions. In this discussion with iAdvize’s CoreAI and Data leaders, we’ll explore the key challenges and lessons learned, from internal alignment to the technical and business hurdles of building and scaling an AI-powered shopper assistant.
Product, Data, and Engineering: Collaboration at the Core – How do these teams interact, and what working methods ensure alignment and efficiency?
Data-Driven Product Development & Continuous Improvement – How do we leverage conversational insights, user behavior, and feedback loops to shape and refine the product roadmap?
Customization & Balancing AI, Automation, and Human Touch – When should AI step back in favor of automated workflows or human intervention to create the best shopping experience?
Client-Side Data Quality & Impact – How do factors like catalog integrity, structured product data, and enriched content influence AI performance and business outcomes?