Real-Time Intelligence for Every Entrance, Every Tenant, Every Zone.
Safari AI connects to your existing cameras to deliver live door counts, foot traffic comparisons, occupancy monitoring, and heatmapping across your retail destinations. No construction, live in under two weeks.
Turn every camera feed into a decision your team can act on.
Mall and Tenant Door Counts
Per-entrance and per-tenant traffic for leasing and pricing.
- Back premium lease pricing with verified traffic data
- Give tenants objective counts to drive renewals
Foot Traffic Comparisons
Before/after patterns to measure the impact of changes.
- Measure new tenant or event impact on mall traffic
- Back rent reviews with verified before-and-after data
Occupancy Monitoring
Live zone occupancy to manage crowd flow at peak periods.
- Redirect shoppers before density creates a safety issue
- Trigger cleaning and staffing at defined occupancy thresholds
Staff Detection and Optimization
Staff presence vs. live demand across every zone.
- Verify coverage matches demand, not just the schedule
- Cut labor during verified low-traffic windows
Guest Journey Analysis
Shopper paths from entry to exit to optimize tenant placement.
- Find which corridors and anchors drive cross-mall movement
- Inform tenant placement with verified shopper path data
Heatmapping Analytics
Zone-level density to maximize rent and guide tenant mix.
- Flag underpriced premium locations for rent review
- Guide layout decisions with verified zone traffic over time
Every view your property and operations team needs, live.
From mall-wide occupancy to tenant-level door counts and traffic heatmaps, Safari AI surfaces the right data at the right moment and tells your team exactly what to do.
Give every tenant verified foot traffic data they can see and act on.
Track visitor counts at every entrance and individual retail location. Whether negotiating a new lease or renewing an existing one, verified traffic data replaces estimates with facts.
- Per-entrance and per-tenant door counts updated throughout the day
- Peak traffic windows by day of week for leasing presentations
- Month-over-month trend to support rent reviews and renewals
- Multi-location benchmarking to justify premium pricing
Know when a mall zone is about to tip and redirect shoppers before it does.
Track real-time occupancy across every wing, food court, and common area. When any zone approaches your defined threshold, your team gets a specific recommendation before density becomes a safety issue.
- Color-coded zone tiles from green to red based on live occupancy
- Redistribution recommendations pushed to digital signage and security
- Peak occupancy forecast for timed-entry programs and event planning
- Hourly trend for proactive staffing and cleaning crew scheduling
Find out which zones drive the most shopper traffic and price them accordingly.
Track foot traffic density across every wing, corridor, and tenant zone. When high-value locations underperform or underprice premium zones emerge, your leasing team has the data to act.
- Live density heatmap across the full mall updated throughout the day
- Per-zone traffic totals exportable for leasing and investor reporting
- Underperforming zone alerts with repositioning recommendations
- Zone comparison to inform future tenant mix and layout decisions
Understand how shoppers move through your mall and where you are losing them.
Track shopper paths from entrance to exit across every wing. When shoppers consistently bypass key tenant areas, your team gets a specific recommendation to improve flow and engagement.
- Entry-to-exit path data with zone dwell time and sequence analysis
- Tenant bypass rate showing which locations shoppers walk past
- Corridor bottleneck identification with layout improvement suggestions
- Anchor pull analysis to understand which stores drive cross-mall movement
Guessing is costing you lease revenue, tenant relationships, and shopper satisfaction.
Most retail properties rely on manual door counts or tenant-reported figures. By the time underperformance is identified, the lease cycle has closed and the tenant is already looking for alternatives.
- Lease negotiations happen without verified foot traffic, leaving premium pricing on the table
- Overcrowded zones with no real-time mechanism to redistribute shoppers
- Underperforming tenant locations not identified until the tenancy ends
- Tenant mix and layout decisions made without verified shopper path data
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 retail and shopping mall operators use Safari AI to drive decisions.
L'Enfant Plaza
This DC shopping mall measures door counts and guest flow patterns to help leasing agents and tenants identify traffic patterns for more accurate pricing.
Read L'Enfant Plaza 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 for property evaluation and door count conversion rates at over 10 NYC locations.
Read 7-Eleven Case Study →
#2 Outlet Operator in North America
The second-largest outlet operator in North America optimizes guest experiences by measuring parking, vehicle flow, people counts, dwell times, and restroom usage across their destinations.
Read Outlet Operator 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.