Part 11/12:
A key success highlighted was the deployment of an AI-powered shelf availability prediction model initially for North American retailers, followed by rapid adoption across other geographies. The process involved rigorous data sufficiency tests, detailed documentation of data requirements, and multiple adoption initiatives like office hours and analytics tracking. These efforts significantly reduced data query resolutions, streamlined collaboration, and demonstrated tangible ROI.