Retailers prepare for agentic AI and holiday season automation
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ReFiBuy launches Q2 AI1000 with self-service retailer portal

ReFiBuy released its Q2 AI1000 rankings with a new self-service portal allowing retailers to track their agentic commerce performance across four key factors, with 972 of 1,000 retailers changing positions quarter-over-quarter. The quarterly update cadence reflects the rapid evolution of AI models and agentic commerce, making real-time benchmarking critical for retailers preparing for holiday 2026.

ReFiBuy published the Q2 AI1000, an expanded agentic commerce benchmarking report modeled after the longstanding Internet Retailer 1000 ranking (Retailgentic). The release introduces a self-service portal where employees of ranked retailers can log in via magic link to view their company's performance across four factors that determine AI1000 rank, track quarter-over-quarter progress, and monitor sub-brands separately (Retailgentic).

The Q1-to-Q2 data shows significant volatility: 972 of the 1,000 retailers changed positions, with 119 companies classified as "top climbers" (Retailgentic). For commerce practitioners, this underscores why quarterly updates matter in the AI era—annual benchmarking cycles lag the speed of model and agentic protocol evolution. Only 225 of the AI1000 retailers (22.5%) currently have Universal Commerce Protocol (UCP) endpoints implemented, representing a key competitive unlock for Q3 (Retailgentic).

Ahead of the 2026 holiday season, ReFiBuy identifies four priorities for retailers: enriching product data for agents, implementing UCP endpoints, optimizing for multiple AI answer engines (ChatGPT and Gemini), and benchmarking against category peers to avoid falling behind (Retailgentic). Salesforce forecasts that AI agents will influence 22% of holiday sales, or $73 billion in opportunity (Retailgentic).

Sources:1 report