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Where can a hospitality venue use AI?

2 min readBy Brendon Whiting, Founder · 21 July 2026

On the administrative load: drafting marketing copy and social posts, turning a supplier list into a menu description, first drafts of policies and staff communications, and summarising the week's feedback. Not on automated responses to guests, where getting the tone wrong is public and costs more than the time it saved.

The venue back office carries more writing than people expect and it is usually done late by someone who has already worked a service. Function quotes, marketing posts, menu descriptions, supplier correspondence, staff notices, incident and compliance paperwork. Each is repetitive, text-shaped work where a fast first draft genuinely helps and a person still owns the result.

The line worth holding is anything guest-facing and unreviewed. A response to a negative review that reads as generated makes the situation worse in front of everyone considering booking, and hospitality trades on feeling personal. Draft with it if it helps get past a blank page, then make it specific to that guest and that visit, which is what turns a complaint response into something that reads well to the next reader.

The genuinely promising application is demand forecasting for rostering, matching staff to predicted trade, and the sensible route is through the platforms you already run rather than a separate project. Some point of sale and rostering products are building it in, and they hold the historical data that makes it work. If you want help picking something useful rather than fashionable, call 1800 456 567.

Use it on the admin, not the guest

We help venues apply AI to the paperwork and marketing load, with clear rules about anything customer-facing.

Frequently asked questions

It can draft it, and the output needs a human who knows the venue. Generic hospitality copy is recognisable and does the brand no favours, particularly for a venue whose appeal is that it is not generic. Use it to get past the blank page rather than to publish unread.

Draft with it, send with judgement. A response to a complaint that reads as automated makes the complaint worse and does so publicly, where prospective customers are reading. The time saved is small and the downside is visible to everyone considering booking with you.

Genuinely useful and dependent on having clean historical sales and labour data over enough time. Some rostering and point of sale platforms are building this in, which is a better route for most venues than a separate project, since the data is already in the platform.

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