Parking – Dynamic Pricing Solutions
By applying machine learning in daily price optimizations, parking operators start to make more powerful decisions.
Challenges and Goals for the Parking Industry
Setting proper prices for parking space according to demand is a headache for parking operators. We help our customers to drive revenue by 5-10% with machine learning and pricing software solutions.
Our Values
Connect data sources
Streamline data gathering and management by connecting data sources into one tool.
Intelligent decisions via machine learning predictor
Our tool uses sales and further external data to constantly improve the accuracy of the underlying machine learning core responsible for predicting demand.
Automated price updates
We developed a real-time ticket pricing tool to execute and supervise any price updates via easy to use plug-and-play interface.


Price optimization tool based on machine learning
Pricing Goals for the Parking Industry
Data management
Data is the most valuable asset for companies nowadays. However, Gathering and managing the right data needs ressources and know-how.
Increase revenue through dynamic pricing
Parking operators have traditionally relied on historical data to set static prices. Measuring demand and adjust prices dynamically allows revenue boosts.
Stay ahead in the competition
Competition in the parking industry is fierce. Dynamic Pricing allows parking operators to avoid a price battle and react flexible on competition.
How We Can Help You Achieve Your Goals
To achieve the strategic goals of our clients we follow three steps:
1
Understand the
status quo
- Analyze the share of pre-sold and online tickets
- Defining the strategic goals for a new pricing model
- Discover the main drivers for demand for your parking space
2
Analysis of historical & current parking data
- Train the demand predictor
- Develop and test interfaces to ensure ease of use for online and offline customers
- Share best practices for online and offline price communication
3
Real-time pricing software for daily optimization
- Demand forecast based on prediction tool with machine learning algorithms
- Daily, automated price optimization for tickets based on our software
- API with most common parking management systems
Typical Results for Dynamic Pricing
+5% - 10%
Increase in market share
+5% - 10%
Increase in overall revenue
+5% - 10%
Increase in share of online sales
What Our Clients Say
”The results of the Smart Pricer Software convinced us. We are pleased to use their dynamic pricing solution in the entire stadium.”
Thomas E. Herrich”Smart Pricer’s software has increased our revenues significantly. We are pleased that our guests accept the new pricing model.”
Jens Heinze”We are using Smart Pricer’s Software to optimize our ticket sales. Dynamic Pricing powered by machine learning and data analytics is an important part of our ticketing. Smart Pricer is a trustful and innovative partner.”
Jörg Zereike



FAQ – Answers to Your Questions
Why is dynamic pricing suitable for parking managers?
What specific goals can be reached with dynamic pricing?
-Drive revenues
-Increase customer attendance at low demand times
-Lift online shares and collect customer data
-Secure earlier cash in by enticing earlier bookings
What are the benefits of dynamic pricing for customers?
How to communicate dynamic pricing in the parking industry?
-We propose to communicate how to get the best prices e.g. “Buy early, buy smart”.
-We also encourage advertising using “from prices” or taking down the price lists from the website to maximize flexibility
-We help you with both online and offline communication with customers based on our world-wide experience
What are the expenses for parking managers implementing dynamic pricing?
Our Resources
Discover in our blog how we introduce dynamic pricing with our clients.
How Can We Help You?
Let's talk about how we can achieve your goals.
Leave us a message to schedule a first free consultation about your needs and goals. We are happy to hear from you. Just give us a call, send us an email, or stop by at our office in the heart of Berlin.
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Sonnenallee 223
12059 Berlin
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