
Accelerating the Retail Decision Cycle in the Age of AI
Online | English
August 26, 2026
Register now to receive the pre-recorded webinar on August 26, 2026.
Pre-recorded webinar available August 26, 2026
Retailers and brands across North America face constant pressure to react to changing consumer demand, protect margins and manage growing operational complexity. Yet critical product innovation, design and data often remain scattered across teams, systems and spreadsheets, slowing decisions when speed matters most.
AI is reshaping how retailers and brands plan, create, source and commercialize products. Real value depends on more than standalone tools or isolated insights. Retailers and brands need trusted product data, connected workflows and the right business context to move confidently from insight to execution.
Register for this pre-recorded webinar, presented in partnership with Retail Economics, a. UK-based independent retail research and economics consultancy, to explore how connected product intelligence and AI-enabled workflows accelerate decision-making across the retail lifecycle, from concept to consumer.
The webinar features:
Richard Lim, CEO, Retail Economics
Sanji Amarasekara, Retail Product Development Expert
Vincent Picou, Chief Artificial Intelligence Officer, Centric Software
Together, the speakers examine how retail leaders connect operations, increase agility and establish the data foundation required to generate meaningful business value from AI.
What will be covered?
Accelerate decisions across product creation, planning, sourcing and merchandising
Respond faster to market shifts and changing consumer demand
Replace fragmented systems and manual handoffs with connected workflows
Build an AI-ready foundation using trusted product data and business context
Orchestrate decisions across teams, systems and the full retail lifecycle
Translate AI-driven insights into stronger commercial performance
Discover how leading retailers create faster, more connected decision cycles and prepare their organizations for the next phase of AI-enabled retail.