Fit Analytics vs Particular Audience

Report: Retailers Must Own Retail Media AI Decisioning

Particular Audience published an industry guide, "Retail Media AI Architecture: From Prediction to Decisioning," arguing retailers have roughly two years to establish control over the AI decisioning layer that will determine how products are surfaced and monetised inside LLM-driven commerce experiences. The guide defines five architectural layers (Causal Measurement, Predictive Models, Decisioning Systems, Generative Interfaces, Agentic Orchestration), warns that exposing raw catalogues to third‑party LLMs risks retailers becoming inventory in others' auctions, and recommends building or buying a decisioning/control layer and participating in open standards such as the Model Context Protocol (MCP). The article includes quotes from Particular Audience CEO and founder James Taylor and background on Particular Audience’s positioning and offices.

• Particular Audience released an industry guide titled "Retail Media AI Architecture: From Prediction to Decisioning" on 2026-06-29.
• The guide defines five layers of retail media AI architecture: Causal Measurement, Predictive Models, Decisioning Systems, Generative Interfaces, and Agentic Orchestration.
• Particular Audience warns retailers have about two years to establish ownership or influence over the decisioning layer to avoid becoming "inventory in someone else’s auction."