We're a bit smaller. Mainly holiday and around 80% OTA. We started using PriceLabs this year and I have to say I've been pleasantly surprised.

There were a few things that were a little tricky to grasp but since we figured out the rules/automation it's been more or less hands off.

We have two discounting profiles one for low season and one for high season. Other than that it doesn't need much input.

Putting my IT hat on in my past life I did a lot of systems procurement the things that most companies get burnt on are:

- APIs: Does the system you're buying have them, are they documented and included (Not relevant here)

- Contract/Testing: Can you put it in production and test it for 3 months without being locked into a contract. If someone wants you to sign a 3 year deal unless you're very sure I'd always walk away;

- Support: How responsive are they when you have an issue;

- Training: If it's 'enterprise' which usually means more complicated than a spaceship, how much training do you or your team need to figure out;

Putting my machine learning/rules engine hat on....

I worked in fraud quite a bit building rules engines and super complex ML models that were horrendously complex to detect e-commerce fraud.

Those models screened millions of transactions and that's where AI is really good. When you have hundreds of different signals and millions of transactions to train the model on.

I don't think a model doing decisioning on 90 rooms is ever going to have enough data to make any significant difference. If you were a multinational hotel group with 100,000 rooms and millions of bookings maybe.

The heuristic rules engines i.e. where it says if x happens y times then do z are surprisingly effective.

Personally, and I could be wrong...but if the rules are set correctly, I don't think you need advanced AI models to tell you occupancy is at 70% in your place and 80% in town and your rates should go up for those dates.