Company Performance Metrics
- Jens Munch: Co-Founder & CEOPast Role: iZettle, Vice President of Strategic Partnerships
- David Lopez Mateos: Chief Science
The toughest challenge for a hotel-owner is highly dynamic demand for a fixed number of rooms - some nights your property is half-empty, other times it's booked out weeks in advance. Smart use of pricing, timing, and sales-channels can add more than 30% to annual revenues.
Pace has built the first solution that gives hotels real-time
forecasting, price sensitivity analysis, and automation. Now hotel-owners can trust that they are responding rapidly to changes and always getting the right bookings at the right prices.
Pace uses machine learning and statistics to turn pricing into a real-time exploration how to optimally match supply and demand. Their algorithms are proprietary and actively worked on by their science team.
They differentiate by being a tech-led company in hospitality (most competitors are the inverse) and by having a staged path towards the end-goal of real-time automation.
