HolaCamp, a campsite and glamping operator, worked with Crata AI to build a full revenue management app that brings demand forecasting, a dynamic pricing algorithm, a business intelligence environment and automatic alerts into a single system. Alongside it, Crata AI integrated its phone system with the CRM to set up a customer service hub. The app cut price update time by 80% to 90% and reached 90% accuracy in occupancy forecasting.
A manual pricing process that could not keep up with demand
HolaCamp is a campsite and glamping operator with a network of more than fifteen sites across Spain and Portugal. A large part of its profitability rests on revenue management, where the right price at the right moment makes all the difference.
Setting that price was slow, manual work. Every rate change meant checking demand and competitor prices by hand, and that constant updating took up time the team would rather have spent on the business itself. With prices moving faster than manual review could keep up with, some revenue slipped through that adjusting rates by hand never quite captured.
On top of that friction, there was no structured customer data. Without a clear read on who was booking and how demand behaved, optimizing revenue became a reactive task. And the customer relationship lived split between the phone system and the CRM, with no single place to manage it from.
An app that brings pricing, forecasting and business control together
With Crata AI, HolaCamp implemented a revenue management app that brings demand forecasting, the pricing algorithm, customer segmentation, business analytics and automatic alerts into a single environment.
It isn't an isolated model that returns a number; it's the tool the revenue team works from every day. The app reads the market, turns what it sees into concrete price recommendations, flags anything that falls outside the forecast and leaves the final decision with the team.
The app covers the full revenue management cycle:
- Forecasts demand and occupancy for each date.
- Recommends dynamic prices based on demand at any given moment.
- Benchmarks rates against competitors.
- Segments customers based on their behavior.
- Analyzes review sentiment to read customer satisfaction.
- Automates marketing actions across those segments.
- Brings business analytics together in a business intelligence environment.
- Sends automatic alerts when demand, occupancy or prices drift from the forecast.
A customer service hub in HubSpot
Beyond the revenue management app, Crata AI set up HolaCamp's call center system, integrating the phone system with the CRM to bring the entire customer relationship together in HubSpot.
Until then, the call and the customer record lived in separate tools, and the context of each conversation depended on someone carrying it over by hand. With the integration, every contact is logged alongside the customer's history, and the team handles, checks and follows up from a single place.
- Connects the phone system (Aircall) with the CRM (HubSpot).
- Automatically logs calls in the customer's record.
- Gives the agent the customer's context the moment they take the call.
- Centralizes service, follow-up and history in one place.
