Every metric for every lot in real-time

Park Graph tracks occupancy in real-time based on active sessions. Every time a driver starts or ends a session, the occupancy count updates instantly. Historical snapshots are recorded every 5 minutes, giving you granular data for trend analysis. The occupancy bar on each lot card fills from green to amber to red as the lot approaches capacity.

The occupancy timeline shows hour-by-hour patterns over the past 7, 30, and 90 days. Identify your peak hours down to the minute. Know that Tuesday parking peaks at 10:47 AM and drops off sharply at 2:15 PM. Use this data to optimize staffing, pricing, and marketing. Heat map views color-code each hour of each day so patterns are visible at a glance.

When occupancy crosses configurable thresholds (default 85%), Park Graph can automatically trigger surge pricing, send capacity alerts, or update AI agent responses to redirect drivers to nearby lots with availability. This optimization happens without any manual intervention. The threshold is configurable per lot, so a valet-operated hotel garage might use 70% while an open surface lot uses 90%.

Peak occupancy metrics are tracked per lot per day, feeding into your daily statistics and weekly reports. Enterprise operators use this data for capacity planning, expansion decisions, and investor reporting. Historical peak data helps predict demand for upcoming events, holidays, and seasonal changes months in advance.

Park Graph aggregates your data into automated daily and weekly reports delivered to your inbox. Each report includes total revenue, session counts, average duration, occupancy trends, source breakdown, and comparison to previous periods. Daily reports land at 7 AM in your timezone, giving you a snapshot before your workday begins.

Weekly reports highlight actionable insights: which lot had the highest growth, which day of the week underperformed, whether dynamic pricing adjustments had the expected impact, and recommendations for rate optimization. Each recommendation includes the projected revenue impact if implemented, so you can prioritize changes by expected ROI.

For Enterprise operators, Park Graph generates monthly executive summaries with portfolio-wide metrics, competitive intelligence from web crawling, and upcoming event data that may affect parking demand. These reports are formatted for board presentations and investor updates. The executive summary includes year-over-year growth rates, market share estimates, and key performance indicators benchmarked against industry averages.

All report data is accessible through the API, allowing you to integrate Park Graph metrics into your existing business intelligence tools, accounting software, or custom dashboards. Export raw data in CSV or JSON format at any time. Webhook subscriptions can push daily statistics to your data warehouse as they are generated, enabling real-time BI dashboards alongside your other business metrics.

The Sessions page gives you a live view of every active, completed, and extended parking session across all your lots. Active sessions show a countdown timer, the driver's payment method type, the authorized amount, and the session code. Completed sessions show the final captured amount, duration, and source attribution.

Filter sessions by lot, status, date range, payment amount, or source. Search by session code to quickly look up a specific driver's session. Each session row expands to show the full timeline: when the QR code was scanned, when payment was authorized, any extension events, and the final capture. This audit trail is essential for resolving disputes and understanding driver behavior patterns.

Session analytics aggregate duration, revenue, and extension frequency into daily and weekly trends. Understand how long drivers typically park at each lot, what percentage extend their sessions, and how much additional revenue extensions generate. This data directly informs your pricing strategy and helps you set optimal default durations for each lot.

The funnel analytics track each step of the driver journey: QR scan, page view, duration selection, payment confirmation, and session completion. See exactly where drivers drop off and identify conversion bottlenecks. For most lots, optimizing the duration selection step alone increases conversion by 10-15% through better default options and clearer pricing presentation.