#2 Outlet Operator in North America

Case Study — North America's #2 Outlet Operator

Live Parking and Shopper Counts Across Outlet Centers

The second-largest outlet operator in North America used Safari AI to count vehicles in and out of its lots and measure shopper traffic across its centers.

Live
Lot Capacity
In & out
Vehicle Counts
By area
Shopper Traffic

Measured from newly installed parking and walkway cameras

Shoppers with bags walking along an open-air outlet center promenade

A packed outlet parking lot with cars circling for spaces
The Challenge

Full lots and busy facilities were spotted too late.

On peak shopping days, lots filled unevenly and drivers circled while another lot sat half empty. Inside the center, restroom and facility cleaning followed a fixed schedule rather than the crowd.

  • Lot capacity was unknown until drivers started circling
  • Traffic trends were estimated, not measured
  • Facility maintenance ran on a fixed schedule, not actual use
See How Safari AI Solves This
What We Deployed

Cars and shoppers, counted from the entrance to the restrooms.

STEP 01

Connected new parking and walkway cameras via an on-premise server

Newly installed lot, entrance and walkway cameras fed a lightweight on-premise server Safari AI deployed, so video was processed on site.

STEP 02

Counted vehicles in and out, and shoppers by area

Computer vision counted every vehicle at lot entrances and exits, and shoppers moving through retail areas and key facilities.

STEP 03

Showed live capacity and traffic trends

Dashboards showed each lot's remaining capacity, traffic by hour and area, and facility use, across locations.

Parking & Traffic
Center overview · Saturday · Updated 14:05
LIVE
Vehicles in Lots
2,860
of 3,400 spaces
Lot Capacity
84%
Lot B at 97%
Shoppers on Site
9,140
↑ 12% vs last Sat
Restroom Visits
1,320/hr
Block C busiest
Lot B occupancy (%) by hour
Below alertOver alert
REDIRECT AT 95%
09:0010:0011:0012:0013:0014:0015:0016:0017:0018:00
LotOccupancyIn/hrOut/hrStatus
Lot A71%340210On target
Lot B97%410120Redirect
Lot C58%180150On target
Lot D92%290140Near capacity

Note: Illustrative data

The Result

Easier parking, cleaner facilities, better decisions.

A parking attendant waving cars toward an open overflow lot
Live
Lot Capacity

Entry and exit counts showed each lot's remaining space in real time, so drivers are sent to open lots before overflow.

Shoppers flowing along a walkway between outlet stores
By area
Shopper Traffic

People counts across retail areas revealed traffic trends and capacity needs that shape operating decisions.

A clean restroom building at an outdoor shopping center
On demand
Facility Upkeep

Restroom and facility traffic drove maintenance schedules, so cleaning follows the crowd.

Action Center

Action Center: From Insight to Action.

Measurements like these feed Safari AI's Action Center, which redirects drivers and sends maintenance teams where the crowd is heading.

Measure
Every lot, every walkway
→
Alert
A lot nears capacity
→
Recommend
Redirect drivers, per SOP
→
Dispatch
Lot attendants notified
→
Outcome
Faster parking, more shopping
  • Real-time recommendations to improve KPIs via email, SMS, robocall, mobile app, Power BI, or API.
  • Recommendations grounded in your own written SOPs, not generic best practices.
What it means for shoppers Drivers redirected → ↓ Circling → ↑ Lots balanced → ↑ Time shopping
Get In Touch

See this at your own centers.

This outlet operator measured parking and shopper traffic across its centers with Safari AI on newly installed cameras. We'll walk through which lots and areas are the best fit for a pilot.

Vehicle Counts Speed of Service Pedestrian Counts/Footfall

Get In Touch

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