- Development
Date
April 25, 2024
Client
Ski Lodge Canada
Category
Revenue & Pricing Optimization
Location
Whistler, Canada
Ski Lodge Canada, a popular winter resort, faced challenges in maximizing revenue during peak ski season while maintaining steady bookings in the off-season. Our goal was to implement an AI-driven seasonal pricing and revenue management strategy to optimize occupancy and profitability year-round.
Challenge & Solution
The lodge experienced high demand fluctuations, with peak-season overbookings and off-season underperformance. Their static pricing model failed to capture maximum revenue during high demand and didn’t attract enough visitors during low periods. To resolve this, we deployed dynamic pricing technology that adjusted rates in real time based on demand, competitor pricing, and booking patterns.
- AI-Powered Dynamic Pricing
- Seasonal Revenue Strategy
- Multi-Channel Distribution Optimization
Our Process
We started by analyzing historical booking trends, competitor pricing, and guest demand. Using advanced revenue management software, we implemented an automated pricing model that adjusted rates dynamically. Additionally, we introduced off-season promotions and exclusive loyalty offers to balance occupancy throughout the year.
Result Driven
Within 4 months, Ski Lodge Canada saw significant improvements in revenue and occupancy:
- +28% Increase in Revenue Per Available Room (RevPAR)
- +40% More Off-Season Bookings
- -22% Reduction in Last-Minute Cancellations