Case Studies And White Papers

In this case study we describe the step-by-step implementation of our Dynamic Pricing solution for the Swiss Zermatt Bergbahnen AG. Learn more about the entire Dynamic Pricing implementation process by downloading this case study.

In this case study we describe the step-by-step implementation of our Dynamic Pricing solution for Aletsch Bahnen AG. Learn more about the background of Dynamic Pricing and the different steps that were necessary to implement the Dynamic Pricing system.

This case study is about how sales at off-peak times and online sales were increased at Bad Kleinkirchheimer Begbahnen. First we analyzed historical data, then we derived price optimizations together with the client, followed by a sales simulation to forecast the impact on ticket revenue. Download this case study if you want to get more details.

In this case study, we show how Hochzeiger Bergbahnen Pitztal AG was able to increase its revenues through an extensive analysis of its ticket data. Effects were first achieved by an extensive analysis of historical data, furthermore by a joint derivation of price optimizations with the customer. Finally, a revenue simulation was performed to forecast the impact on ticket revenues. Download this case study if you want to get more details.

Smart Pricer assisted EV Zug in designing a fully automated real-time dynamic pricing strategy. The one of a kind system, allowing price changes to happen based on preset parameters without human intervention, was made possible by Smart Pricer’s partnership with Secutix, EVZ’s ticketing system.

In this Case Study, we describe how we tackled the challenges at the Chocoversum Museum in Hamburg by implementing a variable pricing strategy that satisfies both price- and time-sensitive guests.

Smart Pricer and Hertha BSC implememt Dynamic Pricing for more than 70,000 seats in Germany’s 3rd biggest stadium in Berlin.

In this pricing case study we review the development of attendance, ticket revenue and ticket prices over the last years. Moreover, we examine the pricing models of the top German chains and look at the pricing innovations that shape the next years.

We review demand forecasting and price optimization at a movie theater. Given that, the initial questions for the approach included: How can we increase our ticket revenues without losing customers? What can we do to push online sales? How to stimulate demand?

In this Pricing Case Study, we describe the step-by-step implementation of our Dynamic Pricing solution for Russia’s number one cinema chain. Many graphics and pictures help to understand the different steps for a successful implementation.

In In this webinar we review the background and motivation for Dynamic Pricing in Ski resorts. Furthermore, we examine the opportunities for price optimization and show case studies out of the alpine region. In the second part, the webinar has a question and answering session of attendees and our pricing experts.