In-person Breakfast Roundtable

How AI Forecasting in Hospitality Can Bridge the Visibility Gap in Volatile Times

Volatility isn’t new to hospitality, but the visibility gap it creates is getting wider. Demand signals shift rapidly, costs continue to climb, and leaders are expected to make high-stakes decisions with imperfect information. The reality is: no single team has all the answers right now. But together, we’ve got patterns, proof points, and hard-won lessons worth sharing.
Date: 18th March, 2026

Time: 9am – 10:30am

Venue: The Standard, 10 Argyle Street, London, WC1H 8EG

Key Discussion Topics

How AI forecasting in hospitality can bridge the visibility gap in volatile times is a closed-door roundtable specifically designed for that purpose. This is not a seminar or a sales deck. It’s a strategy exchange between hospitality leaders who are actively navigating uncertainty and using or looking to use AI forecasting to do it with more confidence.

Acting decisively in hospitality, turning AI forecasts into operational advantages

This topic is about the gap between insight and action, and how different leaders are closing it. Participants will share how AI forecasting is being used on the ground to make faster, sharper operational decisions.

We’ll explore together:

  • How teams are translating forecasts into labour planning, pricing moves, inventory decisions, and marketing triggers.

  • What “actionable forecasting” looks like in practice, not just accurate numbers, but clear signals people will actually use.

  • How leaders are handling the messy parts: conflicting data, operational lag, and decision ownership.

  • Real examples of AI-driven decisions that protected margin, reduced waste, or captured upside and what made them work.

Scenario Forecasting in 2026–27 – planning for cautious spending and rising costs

Instead of betting on one future, leaders are planning across several, and AI is making that feasible at speed. This topic is designed to look at how hospitality leaders are scenario-forecasting what’s next.

Participants will compare:

  • The signals they’re watching for 2026–27: value-seeking consumers, demand variability, wage/supplier/energy inflation.

  • How they’re building baseline, downside, and upside scenarios, and which assumptions matter most.

  • Ways to model uncertainty around occupancy/covers, ADR, discounting pressure, and channel mix, sustained cost increases and margin risk.

  • How scenarios are being used to guide budgeting, commercial strategy, and capex choices, without turning into spreadsheet paralysis.

Building teams that can act on AI insights during volatile times

AI forecasting only helps if people trust it, understand it, and know what to do with it. This topic is about the human and organisational side shared honestly by leaders building AI-enabled decision cultures.

We’ll discuss:

  • How different orgs are structuring teams to own forecasting and act on insights without creating bottlenecks.

  • Adoption realities: what built trust, what caused resistance, and how leaders shifted behaviour.

  • How AI outputs are being embedded into everyday rhythms; weekly trading meetings, staffing & supply cycles and pricing and promo decisions.

  • The operating habits that help teams act earlier and align faster during uncertainty.

Attendees Include

In this session, participants will compare approaches, pressure-test ideas, and swap real experiences: what’s working, what’s not, and what’s changing as we head into 2026–27. Expect candid conversation, practical takeaways, and plenty of “we tried this – here’s what happened.”

If you’re looking to understand how others are responding to shifting consumer behaviour and cost pressure, and leave with new angles you can act on, you’ll be in the right room.

Register To Attend

Held under Chatham House Rules, this interactive session will bring together retail decision-makers for open discussion, peer learning, and collaborative problem-solving.

Join us to uncover how AI can help navigate unpredictable trading conditions, consumer behaviour and rising cost pressures.
  • 8:30am - 9am: Arrival, coffee, continental breakfast and networking
  • 9am: Discussion begins
  • 10:30am: Discussion ends, networking
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