Real-Time Intelligence for Every Lane, Every Location, Every Shift.
Safari AI connects to your existing cameras to deliver live drive-thru vehicle counts, lane throughput, door conversion rates, and staff detection. No construction, live in under two weeks.
Turn every camera feed into a decision your team can act on.
Pedestrian Traffic Analysis
Foot traffic at locations to validate site selection.
- Verify pedestrian volume before committing capital
- Benchmark locations to prioritize investment
Drive-Thru Vehicle Counts
Vehicle volume per lane to forecast demand and staff ahead of peaks.
- Staff lanes before queues build, not after
- Safely reduce labor during verified slow periods
Door Counts and Conversion
Pass-by traffic vs. actual entries to surface conversion gaps.
- Spot high-traffic windows where conversion underperforms
- Validate impact of signage and promotions with real data
Staff Detection and Optimization
Live staff presence matched against demand across every zone.
- Verify coverage matches live volume, not the schedule
- Cut labor waste during verified low-traffic windows
Guest Journey Analysis
Customer movement from entry to order to pickup.
- Spot layout bottlenecks that slow service
- Test configuration changes with real before/after data
Drive-Thru Throughput
Service speed per lane to flag slowdowns and recover same shift.
- Alert managers when lane times slip below target
- Compare lanes across locations to replicate top performers
Every view your operations team needs, live.
From drive-thru vehicle counts to door conversion rates, Safari AI surfaces the right data at the right moment and tells your team exactly what to do.
Catch slow lane service the same shift and recover before the rush ends.
Track service speed through every drive-thru lane. When throughput falls below your target, your team gets a specific action to take, not a report to review tomorrow morning.
- Per-lane service time to the second, flagged against target
- AI-recommended action dispatched to the shift manager when times slip
- Revenue-at-risk estimate shown alongside every action
- Shift-over-shift comparison to replicate top-performing lanes
Staff your lanes before the queue forms, not after.
Track vehicle volume through every drive-thru lane. When inbound rate spikes, your team gets a specific staffing recommendation with enough lead time to act before service times slip.
- Per-lane vehicle counts updated throughout every shift
- Demand surge alerts with staffing recommendations for shift managers
- Hourly trend to forecast peak windows 20 to 30 minutes ahead
- Cross-location benchmarking to identify high-opportunity sites
Find out how much foot traffic you are capturing and how much is walking past.
Track passing pedestrian volume and door entries simultaneously. When conversion falls below target, your team gets a specific recommendation on staffing, signage, or marketing to recover lost walk-in revenue.
- Conversion rate by hour to spot underperforming dayparts same day
- Location comparison to find stores with untapped walk-in potential
- Alerts when conversion drops during high foot-traffic windows
- Multi-week trend to validate promotions and signage changes
Verify staffing levels match demand in real time, not at the end of the shift.
Monitor staff presence throughout the store and drive-thru. When staffing falls below what inbound volume requires, your shift manager gets a specific recommendation before service times are impacted.
- Live staff count by zone matched against current traffic volume
- Under-staffing alerts with redeployment recommendations for managers
- Labor waste identification during low-traffic windows
- Staff-to-sales correlation to build smarter scheduling templates
Guessing is costing you throughput, revenue, and customers you never knew you lost.
Most QSR operators rely on POS data alone or gut feel. By the time a problem surfaces, the lunch rush is over and the revenue opportunity is gone.
- Lanes slow below target with no real-time feedback loop to shift managers
- Peak windows under-staffed because scheduling is based on history, not live demand
- Foot traffic walks past the door with no live visibility into conversion rate
- Site decisions made without verified pedestrian data, leading to underperforming locations
Validated against manual ground-truth counts at your deployment. If any camera view underperforms, we retune 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 and Go Live
Models are validated against manual counts at your location. Once accuracy is confirmed, you are live with real-time dashboards and API access from day one.
How leading QSR and drive-thru operators use Safari AI to drive decisions.
Taco Bell
Taco Bell measures pedestrian traffic at potential new locations to make data-driven decisions about store investments through footfall analysis.
Read Taco Bell Case Study →
Goodwill of Kentucky
Goodwill of Kentucky enhances donation forecasting by measuring vehicle counts at drive-thru donation lanes across their 68 statewide stores.
Read Goodwill of Kentucky Case Study →
7-Eleven
7-Eleven measures pedestrian traffic and door conversion rates for property evaluation at over 10 NYC locations.
Read 7-Eleven Case Study →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.