Retail

AI has raised customer expectations, but most organizations are still delivering personalization in isolated moments instead of across the full customer journey. In this episode of the AI Proving Ground Podcast, WWT Chief Digital Advisor Ralph Jovine and Senior Director of Product for Unified Commerce Chris Douglas explain unpack the foundations leaders need to get right first: customer data ownership, governance, identity resolution, decisioning and operational alignment.

What does it really take to make AI useful in the enterprise? In this episode of the AI Proving Ground Podcast, Jack in the Box VP of Data and Analytics Paul Bruffett and WWT Managing Director of AI and Data Analytics Daniel Morrisroe detail how to turn fragmented data, legacy systems and disconnected workflows into an operational foundation the business can actually use. From modular data products and self-service analytics to forecasting, personalization and the road to more autonomous systems, this conversation offers practical lessons for leaders trying to move from modernization to measurable AI outcomes.

Stop managing stores with yesterday's data. Most retail scorecards explain what has already happened. The problem is that store decisions are made in real time. Labor, inventory and customer experience are being managed with data that arrives too late to change outcomes. This WWT Research episode examines how leading retailers are closing that gap—turning static scorecards into real-time, predictive intelligence that supports decisions as they happen.