The AI Conversation Hotels Are Having Is the Wrong One
Executives from Davidson, Remington, and CoralTree said it clearly: AI won't fix bad data. Most hotels still haven't fixed the data problem.
We fix the systems that don't talk to each other, build the reports that operators actually use, and explain all of it in plain language.
Executives from Davidson, Remington, and CoralTree said it clearly: AI won't fix bad data. Most hotels still haven't fixed the data problem.
Not a consulting brochure. Specific work, for specific problems, by someone who has lived inside the same systems you're running.
Your PMS, POS, and GL should agree with each other. When they don't, everything downstream is wrong — and usually nobody can explain why.
Rate strategy that's built on real demand data — not comp set guessing. Event weekends, transient mix, channel management, and the gaps most RM teams leave open.
Reports that operators actually open. Ownership bridges that tell the real story. Monthly close processes that don't require 3 days of manual reconciliation.
Every post explains something real — a systems problem, a reporting failure, a rate decision that left money on the table. No generic takes.
Executives from Davidson, Remington, and CoralTree said it clearly: AI won't fix bad data. Most hotels still haven't fixed the data problem.
The goal was never the dashboard. It was for the team to trust the numbers. Those are two completely different problems.
Most labor reports tell you what happened. The useful ones tell you why — and what you can still fix before the month closes.
Weekly rate snapshots around SEC football, NASCAR, and major demand events. With an editorial take on who left money on the table.
Curated hotel finance and RM positions. Personally vetted — nothing scraped, nothing stale.
A specific insight from real hotel finance work. No filler. No trends pieces. Just the thing worth knowing this week.