Recommendation & Personalisation for Hospitality

Diversity has to be designed in. A recommender optimised purely for click-through converges on a narrow loop that bores users within a fortnight.

In hospitality, demand swings hard by season and guests expect an instant multilingual response. That single fact reshapes how recommendation & personalisation has to be built here, the guardrails, the approval points and the evidence trail are design inputs rather than things bolted on before go-live.

The workload we are most often asked to take on first is review response drafting, usually integrated against channel managers. We start from the constraint, not the capability, what the system must never do, who signs off, and what happens when it is wrong.

Multi-model by default, so a provider outage is a routing decision rather than an incident. Six weeks to something running in production, not six quarters to a strategy document.