Transactional Data
Module

See the revenue generated from each product type, whether it's short-term parking, subscriptions, or online reservations. This allows you to identify which products are driving the most revenue, so you can focus on expanding the most profitable offerings.

Understand how your revenue shifts throughout the week. By comparing weekdays to weekends, you can uncover trends, identify peak times, and adjust your pricing strategy accordingly. A great way to ensure you’re optimizing your operations for both high and low-demand periods.

Track the number of transactions processed per product, giving you insight into customer activity and engagement. More transactions generally mean higher revenue potential, but is this really the case? Investigate your data, to uncover hidden trends.

Find out the exact value of your parking spaces across time. This metric helps you optimize space allocation, investigate interesting areas and assist in strategic decision making to ensure each spot is working as efficiently as possible.

Understand how different parking products — such as short-term, long-term, or subscription-based — perform in terms of space usage and popularity.

Discover how occupancy patterns differ between weekdays and weekends. Use this data to tailor pricing, staffing, and marketing efforts.

Visualize how the peak occupancy changes over time including a forecast tool. Spot recurring peaks and low-traffic moments to inform dynamic pricing or access control.

Track long-term trends with a monthly overview. Evaluate the impact of seasons, holidays, or campaigns on parking demand. See how different strategies have affected your parking operation over time.

Compare transaction volumes across different parking locations. Identify high-performing areas and uncover sites with growth potential or operational issues.

Analyze differences in parking behavior between weekdays and weekends. Adapt pricing, staffing, and marketing efforts to fit actual demand patterns.

Monitor how many vehicles enter/exit your facilities within specific timeframes. Spot peaks in inflow and manage congestion before it happens, and optimize resource allocation accordingly.

Understand how long customers typically park. Use this data to optimize pricing models, turnover rates, and tailor offers to user segments.