Parking Analytics Software: From Intuition to Data-Driven Car Park Business Intelligence
K-Analytics is a series of enriched parking analytics dashboards for car park revenue management, helping you control the economic performance of your parking facilities through data-driven insights and business intelligence.
Advanced Parking Analytics Dashboards for Business Intelligence
Specific parking analytics KPIs and parking revenue management metrics are made available thanks to interactive data-driven parking analytics dashboards:
Car park occupancy curves per customer type
Entry and exit distribution patterns
Multi-axis comparisons vs the previous year
Competition positionning
Correlation with passengers traffic
Seamlessly Integrate Parking Analytics Software Into Your Operations
Discover how easy it is to get the key benefits of using K-Analytics parking analytics platform for your parking management operations.
Integrate Historical Airport Data Seamlessly
Feed the data of your 3 last years into our system.
Precise Parking Analytics Performance Analysis
Controls and tests are performed to ensure 99,9% accuracy in parking data collection (orphan tickets, manual counting processes, etc.)
For K-Analytics, a daily data update is sufficient
For the use of K-Analytics parking analytics software, a daily update of the CPMS and booking data is sufficient to maintain accurate business intelligence reporting.
Analytics made simple
Daily use the 80/90 dashboards available in K - Analytics, focusing on parking occupancy aspects, customer behaviours, demand distribution patterns, etc.
Create your own reports when needed
How is this parking analytics software is implemented?
The implementation of K-Analytics takes a few days, depending on the availability of the parking data:
Phase 1 : Parking Data Collection & Integration
The first phase consists in the integration of 2 or 3 years of past parking analytics data to establish historical baselines.
Phase 2 : API Setup & Third-Party Integration
In parallel, the daily API is put in place together with the third party team (parking gate system provider for ex.)
Phase 3 : Parking Revenue Data Accuracy Verification
Controls and tests are performed (vs turnover and volume of transactions) to ensure 99.9% accuracy in the data processing aspects (lost tickets, manual counting processes, etc.)
Phase 4 : Revenue Optimization Knowledge Transfer
Knowldege transfer is ensured by Kowee teams
Essential Parking Analytics Data Sources
Data is needed from the parking equipment system (the "gate") and/or from the parking e-commerce platform:
Data are transferred daily, or are connected in real-time when K-Yield dynamic pricing system is put in place.
For each transaction, several data sets are collected: date and time of entry, payment amount, date and time of exit and customer type.
APIs with the most important equipment system providers are available.
Other sources of data can be used such as forecasts of passenger traffics for airports and Kowee also proposes a competitive pricing analytics feature for market intelligence.
Want to understand how dynamic pricing works and why it’s revolutionizing pricing strategies? Read our comprehensive article to learn everything you need to know!
