I would start by concrete examples of 3 AI projects scaled in 20+ countries with proven ROI in Pernod Ricard :
• A tool for marketer to optimized the Adverstising spend by type of activity (TV, Socila Media, Displays in store, …)
• An engine recommending every Monday morning the 25 outlets to visit, and in each recommendation of actions (list a new product, check a promotion, …
• A promotion optimization app (is it better to give 3€ discount on 2 bottles of 70c Absolut, or 2€ on a liter bottle ?)
1. The 5 forgotten components of successfully deploying AI at scale internationally
In a nutshell: Starting with a clear expected ROI, why strong executive sponsorship is also key.. Development of internal data and AI capabilities (rather than reliance on external vendors). Balance between global standardization and local adaptation, and a phased test-and-learn approach before full industrialization.
2. Success of your AI program will depend on adoption, because no adoption means no ROI
In a nutshell: ROI is significantly amplified by organizational adoption. When AI tools are embedded into core processes, supported by leadership and linked to performance incentives, usage rates rise materially. Conversely, without cultural buy-in and business ownership, even high-performing AI solutions capture only a fraction of their potential value.
Digging this topic, I realized that a strong adoption from executives often relies on 2 dimentions : early involvement of future emabssadors … and an optimized UI.
