Car park business intelligence

K-Analytics

Parking business intelligence

From business intelligence to dynamic pricing

In the parking sector, access to the data is rendered difficult by the simple fact that parking transactions are usually part of an external system (the “gate system” and/or the “booking system”). Kowee’s car park business intelligence solution precisely makes it easier thanks to dedicated APIs with the gate and the parking booking systems.

The proposed parking business intelligence dashboards create high value for any parking operator willing to control the economic performance of its parking lots.

K-Analytics

K-Analytics is a series of enriched car park revenue management dashboards, helping you control the economic performance of your car parks.

Benefits fake

Thanks to K-Analytics, one can really move from intuition to data centric management of its car parks.

This module paves the way for the implementation of sound dynamic pricing policies.

Benefits

Thanks to K-Analytics, one can really move from intuition to data centric management.

This module paves the way for the implementation of sound dynamic pricing policies.

Needed data

Data from the equipment system (the “gate system”) as well as from the parking e-commerce platform (if it exists):

  • Data are daily transfered when K-Yield is not put in place, otherwise a real-time connection with the system is required
  • In all cases, the content is limited to, per individual transaction: date and time of entry, payment amount, date and time of exit, customer type, etc.
  • APIs with the most important equipment system providers are available

Other sources of data can be used: forecasts of passenger traffics (for airports), competition information (if relevant, price tracking feauture is proposed).

Features
Specific parking revenue management KPIs are made available thanks to interactive business-driven dashboards: 

    • Car park occupancy curves, incl. customer type occupancy distribution (per day, time, etc.)
    • Entry and exit distribution patterns: per length of stay segment, etc
    • Multi-axis comparisons vs the year before, etc.
    • Lead time analysis for pre-bookers
    • Competition positionning
    • Correlation with passenger traffic (for airport car parks)

Around 70 reports are available (in case of specific needs, customization is possible as long the data exists). Secured 24/7 web access to the reports.

Implementation
The implementation of K-Analytics takes a few days, depending on data availability:

  • The first phase consists in the integration of 2 or 3 years of past data
  • In parallel, the daily API is put in place together with the third party team (gate system provider for ex.)
  • 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.)
  • Knowldege transfer is ensured by Kowee teams
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