Case Study — L'Enfant Plaza

Pricing Leases on Measured Foot Traffic

L'Enfant Plaza used Safari AI to measure door counts and shopper flow across its retail concourse, giving leasing teams and tenants traffic data by hour, day and season.

Hourly
Door Counts
Live
Shopper Flow
Shared
With Tenants

Measured from existing entrance and concourse cameras

Office workers walking past shops and cafes in an underground retail concourse

A leasing agent showing an empty retail unit to a prospective tenant
The Challenge

Lease pricing ran on estimates, not traffic.

Leasing teams pitched space with modelled foot traffic and old surveys, and tenants had no way to check them. After the pandemic changed how people used the city, nobody could say with confidence how traffic had shifted, or when.

  • Lease pricing and risk were based on estimates
  • There was no traffic data to share with current or prospective tenants
  • Post-pandemic traffic patterns were unclear
See How Safari AI Solves This
What We Deployed

Door counts and shopper flow, hour by hour.

STEP 01

Connected to entrance and concourse cameras via an on-premise server

Existing entrance and concourse cameras fed a lightweight on-premise server Safari AI deployed, so video was processed on site.

STEP 02

Counted entries and mapped shopper flow

Computer vision counted people through every entrance and followed how they moved along the concourse, by hour, day and season.

STEP 03

Built reports leasing teams and tenants could filter

Filterable dashboards showed traffic by entrance and time, ready to share with tenants and to compare against pre-pandemic patterns.

Concourse Traffic
Retail concourse · Today · Updated 17:05
LIVE
Visitors Today
18,240
↑ 6% vs last wk
Peak Hour
12:00
2,960 visitors
Weekday Index
1.4×
vs weekend average
Vs. 2019
88%
of pre-pandemic traffic
Entries per hour · Entrance #1
Above weekly avg.Below
WEEKLY AVG 1,200
08:0009:0010:0011:0012:0013:0014:0015:0016:0017:00
EntranceTodayVs. last wkPeakStatus
Entrance #1 · Metro7,420+8%12:00Rising
Entrance #2 · Street4,110−3%13:00Steady
Entrance #3 · Office5,280+11%08:00Rising
Entrance #4 · Garage1,430−9%17:00Falling

Note: Illustrative data

The Result

Faster leasing, priced on real traffic.

Commuters riding an escalator up from a Metro station into the concourse
Hourly
Door Counts

Traffic at every entrance was counted by hour, day and season, so lease pricing reflects the footfall each space actually gets.

A property manager and a tenant reviewing foot traffic charts on a tablet
Shared
Tenant Reporting

Current and prospective tenants saw the same filterable traffic data, which shortens negotiations and builds trust.

A busy food court at lunchtime
Then vs. now
Post-Pandemic Patterns

Traffic was compared with pre-pandemic patterns, showing how the property has changed so management can act before new challenges land.

Action Center

Action Center: From Insight to Action.

Measurements like these feed Safari AI's Action Center, which flags a shift in traffic at an entrance or along the concourse as it happens.

Measure
Every entrance, every hour
→
Alert
Traffic shifts from normal
→
Recommend
Adjust ops or marketing, per SOP
→
Dispatch
Property team notified
→
Outcome
Better-informed leasing
  • 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 tenants Traffic measured → ↑ Pricing confidence → ↓ Days vacant → ↑ Leasing velocity
Get In Touch

See this at your own properties.

L'Enfant Plaza priced and marketed its retail space on measured foot traffic from cameras already in the building. We'll walk through which entrances and corridors are the best fit for a pilot on your cameras.

Guest & Door Counts

Get In Touch

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