Real-Time Intelligence for Every Lift, Every Line, Every Run.
Safari AI connects to your existing cameras to deliver live lift fill rates, chair dispatch performance, queue wait times, and on-mountain throughput analytics. No construction, live in under two weeks.
Turn every camera feed into a decision your team can act on.
Lift Fill Rates
How full each chairlift is before dispatch, updated in real time throughout the day.
- Flag under-filled chairs before throughput drops
- Increase capacity without adding lift infrastructure
Chair Dispatches
Dispatch timing and frequency across all lifts to ensure consistent guest flow.
- Alert operators running below target intervals before waits spiral
- Recover throughput the same shift with real-time supervisor prompts
Queue Wait Times
Real-time wait time at every lift base, updated continuously.
- Redirect guests to shorter lines before frustration sets in
- Trigger digital signage to distribute load across lifts automatically
Guest Throughput
Guests moving through each lift system to identify bottlenecks and maximize daily capacity.
- Spot lifts underperforming relative to rated capacity
- Maximize daily visitors without compromising safety
Real-Time Lift Analytics
Live guest counts, fill rates, and dispatch performance across every lift in one view.
- Give ski patrol and ops a single live mountain-wide dashboard
- Make immediate staffing adjustments without waiting for end-of-day reports
Capacity Optimization
Lift utilization patterns analyzed against daily targets to maximize skier throughput.
- Identify consistently under-utilized lifts and redirect accordingly
- Push throughput closer to true operational capacity while maintaining safety
Every view your operations team needs, live.
From chair fill rates to lift-by-lift queue wait times, Safari AI surfaces the right data at the right moment — and tells your team exactly what to do.
Stop sending chairs up the mountain half-empty.
Know exactly how full each chair is before it dispatches. When fill rates drop below your targets, your team gets a specific action — not a number to puzzle over at end of day.
- Per-lift fill rate with target thresholds and under-utilization alerts
- AI-recommended action dispatched directly to lift operators
- Queue management suggestions when chairs are dispatching under-filled
- Historical fill trend overlay to anticipate same-day patterns by lift and time
Catch lift line build-up early and act before skiers feel the wait.
Know exactly how long guests are waiting at every lift base, updated continuously. When a threshold is breached, your team gets a specific action to take — not just a wait time to stare at.
- Per-lift wait time with SLA thresholds and breach alerts
- AI-recommended action dispatched directly to lift ops leads
- Guest redistribution suggestions pushed to on-mountain signage
- Historical wait trend overlay to anticipate same-day peak patterns
Turn a slow dispatch cycle into a coaching moment the same shift.
Track dispatch intervals at every lift. When an operator's timing slips, supervisors get an immediate, specific recommendation — not an end-of-day report they can't act on.
- Dispatch interval to the second, flagged against your target
- Shift-over-shift operator comparison for fair, data-backed coaching
- Throughput recovery estimate shown alongside every flag
- Auto-notification when interval exceeds target by 15%+
Know exactly how many skiers you're moving — and where you're leaving capacity on the table.
Track guests processed per hour at each lift and across the mountain. When throughput falls behind daily targets, your team gets a specific action to recover capacity before the day is lost.
- Guests-per-hour by lift benchmarked against daily and seasonal targets
- Mountain-wide throughput trending to forecast end-of-day totals
- Bottleneck identification at loading zones and merge points
- Proactive staffing alerts when throughput drops below threshold for 10+ min
Guessing is costing you throughput, revenue, and skier satisfaction.
Most resorts still rely on end-of-day reports or gut feel. By the time a problem is identified, skiers have already had a poor experience — or left for a competitor.
- Lift lines build undetected until they're already a guest complaint
- Chairs dispatch half-empty with no fill rate data or operator feedback loop
- Dispatch timing slips during peak hours with no real-time coaching mechanism
- Mountain-wide throughput targets missed with no visibility into where capacity is lost
Validated against manual ground-truth counts at your deployment. If any camera view underperforms, we retune the model at no cost before you go live.
Leverage your existing cameras. No construction. Live in under two weeks.
Camera Review
We assess your existing CCTV or IP camera feeds remotely. Compatible views proceed; any incompatible ones are flagged before any commitment.
On-Prem Deployment
A compact server is installed on-site and connected to your camera streams. All video is processed locally. Nothing leaves your network.
Calibrate & Go Live
Models are validated against manual counts at your location. Once accuracy is confirmed, you're live with real-time dashboards and API access from day one.
We just released our 2026 Vail & Alterra Ski Resorts Queue Reports
Learn how lift lines, parking and F&B queues are shaping guest satisfaction across two of North America's biggest ski portfolios, and where operators are leaving money and NPS on the table.
See exactly what your cameras can do.
Evaluate Safari AI on your existing camera infrastructure for 30 days. No credit card, no commitment.
30-day free pilot · No credit card required · Uses your existing cameras · Video processed on-premise
Frequently Asked Questions
How accurate is Safari AI's footfall counting?
Safari AI delivers 99%+ accuracy on pedestrian and footfall counts across indoor and outdoor environments. Accuracy is validated against manual ground-truth counts during deployment. If a camera view underperforms, we retune the model to your specific environment before you go live, at no additional cost.
Do I need to replace my cameras to use Safari AI?
No. Safari AI works with the CCTV and IP cameras you already have. No rip-and-replace, no construction, no re-wiring. An on-premise server is installed to process video locally; your existing camera infrastructure stays exactly as it is.
How long does Safari AI deployment take?
Most customers are live within days to a few weeks. After a camera compatibility review, we install the on-prem server, connect camera feeds, calibrate the models, and validate accuracy against your baselines before going live.
Can Safari AI handle high-density crowds?
Yes. Safari AI is built for high-density venues — theme parks, NBA and NHL arenas, outlet centers, and stadium concourses. Models handle occlusion, overlapping visitors, and non-linear movement that defeats traditional beam-break sensors. Clients include LEGOLAND, Charlotte Hornets, and Calgary Flames.
Can Safari AI integrate with Tableau, Power BI, Snowflake, or our POS?
Yes. Footfall counts and analytics are available via live dashboards, scheduled exports, and a REST API. You can pipe data into Tableau, Power BI, Snowflake, your POS, or any internal system. Most customers run Safari AI alongside existing BI and RevOps workflows.
How does Safari AI pricing work?
Pricing is per-camera and scales with the number of cameras, sites, and measurement types. Pedestrian counts, occupancy, dwell time, queue wait time, and more can be layered on the same feeds. A free 30-day pilot with no credit card required is available so you can validate accuracy and ROI before committing.