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.
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 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:
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.”
”Smart Pricer’s software has increased our revenues significantly. We are pleased that our guests accept the new pricing model.”
”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.”
Smart Pricer Blog Posts
We publish regular posts about the pricing development in different industries worldwide and the technical opportunities in machine learning and AI to optimize revenue.