AI delivers the most value when it builds on strong processes and trusted product data. At TaylorMade Golf, that foundation started with introducing workflows and rules into daily enrichment, aligning teams around a more structured launch process, and establishing clear requirements for product data across its global business.

Today, that foundation is helping TaylorMade work more than 120 days ahead of product launches while creating new opportunities to bring AI into product operations. In this session, TaylorMade will share how it is already using AI to support product copy translation for global markets and how the team sees AI further streamlining product setup and incoming data. Retail teams will walk away with a practical perspective on how strong processes and trusted product data are crucial to successfully scaling AI.

Key takeaways

• Why strong workflows, rules, and trusted product data are critical foundations for scaling AI
• How TaylorMade built a product operations model that enables teams to work more than 120 days ahead of launch
• Where AI is delivering value today, including product copy translation across global markets
• How TaylorMade sees AI evolving from content support to helping organize and streamline product data from multiple systems, sources, and teams