pricing

The theory is clean: align your pricing, standardize your decision-making, and let the strategy run. The reality?

Rate parity is framed as a pricing policy. It is enforced as a contractual obligation. What it actually functions as, in the luxury segment, is a structural brake

Some of the biggest revenue mistakes aren’t pricing errors. They’re access errors. Rates might be right but if guests can’t book them revenue disappears

This comes down to commercial ownership. The strongest-performing hotels are not necessarily the ones with the widest OTA exposure

Guests have always compared options before booking. The difference is that technology has made the process dramatically easier

Rates are one lever but not the only one. In a market where guests have endless comparison tools, it is often not the safest one to pull first

The platform now addresses all four stages of the hotel corporate sales cycle: account discovery, prospect outreach, rate intelligence, and lead nurturing

Modern AI is a prediction engine. When the data it receives is incomplete or ambiguous, it fills in the gaps. That is a hallucination

AI in hospitality is not reserved for large chains. Small, independent hotels are using it to boost revenue and personalize guest experiences

In most hotels, the revenue manager role has been redefined – not by anyone’s intention, but by the absence of the right infrastructure