Learn what an AI Commerce Readiness Assessment evaluates, how the process works, what evidence is reviewed, what deliverables you receive, and how findings become an actionable roadmap.
Insights
RPE Origin Insights explores how AI, commerce, data, marketing technology and customer experience are changing—and what those changes mean for the teams responsible for growth.
We share practical frameworks, emerging patterns and lessons from the work, with an emphasis on helping organizations understand what is changing, why it matters and what they can do next.
Latest Insights
Before the Holiday Rush: Your AI Commerce Readiness Checklist
Before seasonal demand peaks, use this practical AI Commerce checklist to review product data, pricing, content, AI discovery, measurement and governance.
What Does “AI Commerce Ready” Actually Mean? A Practical Readiness Framework
AI Commerce readiness goes beyond product feeds and SEO. Use this seven-dimension framework to assess product data, discoverability, agent access, measurement and governance.
From Search Results to AI Recommendations: How Product Discovery Is Changing
Product discovery is moving from keywords and search results toward conversational recommendations. Learn how AI is changing consideration, comparison and the path to purchase.
Can AI Understand Your Products? Why Product Data Is Becoming a Competitive Advantage
AI systems need more than product descriptions to make useful recommendations. Learn why structured attributes, consistent feeds and semantic product knowledge are becoming essential to AI Commerce.
AI Commerce Readiness for the 2026 Holiday Season
AI-assisted shopping is changing product discovery. Before the 2026 holiday rush, retailers should understand whether AI can accurately discover, interpret and recommend their products.





