The AI E-Commerce Architecture Guide: What to Build, What to Trust, and Where the Line Is.
AI makes it easier than ever to build dashboards, workflows, and internal tools. But not every AI project belongs in-house. Learn how leading ecommerce brands decide what to build, what to trust, and where AI creates the most business value.
You’ll learn:
- What AI should own, and what it shouldn’t
- When to build vs. buy ecommerce AI
- How AI, MCP, and commerce platforms work together
EXECUTIVE SUMMARY
“The future isn’t a choice between building with AI and buying software. It’s understanding which parts of your commerce operation AI should own, and which require systems engineered for production.”
Dani Nadel, President & COO, Feedvisor
What’s Inside:
AI has dramatically reduced the time it takes to build software. It hasn’t reduced the cost of making the wrong decision.
Whether you’re experimenting with ChatGPT, Claude, Gemini, or MCP, this guide shows where AI delivers the biggest return—and where specialized commerce systems remain essential for protecting revenue, margin, and growth. Download the guide to discover:
- The four layers of the AI commerce stack and which ones to build
- Why three conditions break every homegrown system on Amazon
- The hidden signal layer most brands don’t have access to
- Real examples: what to build (and what costs you the quarter if you get wrong)
- A scoring framework you can run against your own initiatives this week
