Consumer goods companies face faster demand shifts, changing costs, growing assortment complexity and constant pressure for newness. Yet product development, planning, pricing and inventory decisions often remain disconnected across systems and functions.

As AI moves into everyday workflows, that fragmentation matters even more. Trusted product data, connected workflows and business context create the foundation to apply AI to decisions across the product lifecycle.

The Connected Product Lifecycle explores how consumer goods companies can move from sequential processes to concurrent commercialization, connecting data, decisions and teams from concept to commercialization.

In this executive guide, discover:

• Why disconnected systems, data and decisions become more costly as product complexity increases
• How concurrent commercialization moves the business beyond sequential processes
• Five foundations for connecting product development, planning, pricing and inventory, with AI grounded in trusted product data
• A maturity check to assess progress and identify where gaps remain
• How GUESS, BESTSELLER and Triumph connect product development, planning and pricing on one foundation

The market will keep moving. The question is whether the operating model can move with it.