Agentic commerce research that shows how AI agents shape what gets bought.

Agentic commerce research is the study of how AI agents search, compare and sometimes buy on a shopper's behalf, and how far that has reached a brand's own buyers. Agentic commerce means an AI agent acts for the shopper, so the research shows which purchase steps AI shapes and where people and platforms still decide. Nextyn builds each study from interviews and surveys with shoppers who use AI tools to shop and shoppers who do not, and the retail and CPG practice has researched shoppers in 85+ countries.

A Nextyn agentic commerce study delivers three outputs: a decision influence map for the category, AI tool use by shopper group, and priority actions for brand and channel teams. Each output comes from primary research with the category's shoppers, not from AI vendor forecasts:

• Decision influence map: who or what shapes the choice at each step, from search to checkout
• AI tool use: which shopper groups use assistants and agents, for which purchases
• Priority actions: where brand and channel teams should invest to stay on the shortlist

Nextyn interviews four groups for agentic commerce research: shoppers who use AI tools to shop, shoppers who do not, retail and platform specialists, and category managers. Each study matches the sample to the category, channels and markets in scope, so AI users and non-users can be compared like for like:

• Shoppers who use AI assistants or agents to research, compare or buy
• Shoppers in the same category who still decide without AI tools
• Retail, e-commerce and platform specialists who see AI change traffic and conversion
• Category managers at brands and retailers who see the effect on sales

Nextyn runs agentic commerce research in the United States and Canada, among other markets, and the retail and CPG practice has researched shoppers in 85+ countries and 50+ languages. Markets are agreed at scoping, since AI shopping tools reach different countries, categories and shopper groups at different speeds. A multi-market study asks the same questions in each country, so adoption compares like for like.

Nextyn recommends agentic commerce research before the next annual budget splits spend between search, retail media and brand, and before a retailer or platform launches AI shopping in the category. At that point the research shows how far AI-assisted buying has reached the brand's shoppers, so investment is timed to evidence rather than headlines. Nextyn sends a research plan within 48 hours of the brief.

A Nextyn agentic commerce research project runs in four steps, from brief to read-out, and nothing is commissioned until the client approves the plan. The client sees the sample, method and price before any fieldwork, and reads every interview with the Nextyn team at the end.

1. Submit the brief: the category, the markets and the investment decision the research must settle.
2. Receive a plan within 48 hours: who Nextyn will interview, how, and what the work costs.
3. Approve the plan: fieldwork starts only after sign-off.
4. Review the read-out: every interview read together, showing where AI users, non-users and specialists agree, where they conflict and what is still open.

Nextyn sends an agentic commerce research plan within 48 hours of receiving the brief, stating who will be interviewed, how, and what the work costs. The plan sets the fieldwork length for the category, markets and shopper groups in scope, so a one-country read and a multi-market comparison each get their own timeline. Nothing is commissioned until the client approves the plan.

Nextyn's agentic commerce research measures how one category's own shoppers use AI tools to choose and buy, while a trends report forecasts AI shopping across all of retail. The report describes where retail is heading, and the research shows what has already changed for one brand's buyers.