Retail & E-commerce AI
Recommendations, demand forecasting, agentic commerce
Retail runs the highest-volume consumer AI inference: recommendation engines, dynamic pricing, and now agentic checkout (Amazon Rufus, Walmart Sparky, and OpenAI/Perplexity shopping agents). 2025 saw 'agentic commerce' protocols emerge as retailers scrambled to be discoverable and transactable by AI shopping agents.
2025 shift
Agentic checkout protocols
Constraint
Margin economics of inference at scale
How it fits the stack
Retail & E-commerce AI with what it depends on (above) and what it feeds (below). The figure renders as a crawlable diagram and upgrades to an interactive 3D graph as it scrolls into view.
Retail & E-commerce AI in the AI stack. Retail & E-commerce AI with its immediate upstream dependencies (top) and downstream dependents (bottom) in the AI value chain. Hover a node in 3D, or read the full relationships below.
Graph data (text) — 3 entities, 2 relationships
- Retail & E-commerce AI —uses→ Salesforce Agentforce
- Retail & E-commerce AI —partners with→ Perplexity AI
Depends on ↑ · 1
Context — capital, rivals, policy · · 1