Mise en Place 2027: the agentic forecast

The food and beverage outlook on agents, AI, and the work that happens before launch. What the leading teams already changed, where they plugged agents in first, and what happens to your brand when a shopper asks an AI what to buy.

  • The ROI gap: 95% see no measurable return on AI.
  • The AI shelf: the best-selling beer in America barely appears.
  • Launch cycles: six to nine months, compressing toward weeks.

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Mise en Place 2027: what is inside the report

Twelve chapters on how food and beverage teams are actually building with agents, and what to do about it before 2027.

  1. The 95% that never reaches the results

  2. Delegation, not abdication

  3. When a shopper asks an AI what to buy

  4. The first workflow worth handing over

Written by

Miriam Aniel Oved

Published

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The teams that win 2027 are doing their mise en place now

Twelve chapters on agents in food and beverage: what the leading teams changed, what agents run, and what stays yours.

Frequently asked questions about agentic AI in food and beverage

An agent is trained on your own data and category context, and it works in the background before anyone asks. Conversational AI makes a single task quicker. A system of agents gathers the signal, drafts the work, monitors for change, and surfaces what matters, continuously, inside the flow of every team.

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