From Intuition to Data-Driven Car Park Business Intelligence
K-Analytics is a series of enriched car park revenue management dashboards, helping you control the economic performance of your car parks.
Business-driven parking analytics dashboards
Specific parking revenue management KPIs are made available thanks to interactive business-driven 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
Easily integrate parking software into your processes
Discover how easy it is to get the key benefits of using K-Analytics.
Integrate Historical Airport Data Seamlessly
Feed the data of your 3 last years into our system.
Precise Car Park Performance Analysis
Controls and tests are performed to ensure 99,9% accuracy (orphan tickets, manual counting processes, etc.)
For K-Analytics, a daily data update is sufficient
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 software is implemented?
The implementation of K-Analytics takes a few days, depending on the availability of the data:
Phase 1 : Car Park Data Collection & Integration
The first phase consists in the integration of 2 or 3 years of past data
Phase 2 : API Setup & Third-Party Integration
In parallel, the daily API is put in place together with the third party team (gate system provider for ex.)
Phase 3 : 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
Data is needed from the 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 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 competition price tracking feature.
