Crowne Plaza Old City & Pricing Coach

Challenge

Crowne Plaza Old City was competing in a fast-moving market with a fixed, limited number of price changes.

• Manual analysis allowed the revenue-management team to react only to major shifts, averaging ≈ 500 price actions per year.
  
  

• With so few interventions, many potential revenue opportunities slipped away.
  
  

What Changed with Pricing Coach

After implementing Pricing Coach’s AI-powered dynamic pricing engine, the hotel began responding to market changes far more frequently and accurately.

• The system automatically analyses demand trends, competitor moves, and historical performance.
  
  

• It delivers real-time price recommendations that the team can apply within minutes.
  
  

• As a result, the hotel now executes about 5 000 price actions every month, continuously positioning itself with optimised rates.
  
  

Results

• Massive increase in pricing velocity: from ~500 actions per year to ~5 000 per month—well over a 100× gain.
  
  

• Agile, data-driven decisions: Revenue-management is faster and fully grounded in live market data.
  
  

• Revenue opportunities captured: With continuous optimisation, the hotel no longer misses demand spikes or micro-segments.
  
  
  

Key Takeaways for Hoteliers

1. Frequency matters. More price actions—guided by reliable data—unlock revenue pockets that static strategies can’t reach.
   
   

2. Automation accelerates teams. AI-driven recommendations cut manual analysis to minutes, not hours.
   
   

3. Dynamic pricing builds resilience. A hotel that can adjust rates in real time stays competitive no matter how quickly the market shifts.
   
   

Ready to bring dynamic pricing to your property?