StorageMart

Case Study — StorageMart

Staffing the Front Desk to Real Customer Demand

StorageMart used Safari AI to measure staff and customer engagement, front desk wait times and parking use at its facilities, from existing cameras.

Live
Front Desk Wait
Per visit
Engagement Time
By zone
Parking Use

Measured from existing office and lot cameras

A staff member helping a customer at a self-storage office counter

Two customers waiting at an unattended storage office counter
The Challenge

Front desks were staffed by habit, and parking by assumption.

Self-storage customers often visited without appointments, so it was hard to know how many staff each desk needed and when. Lots and drop-off zones were sized by assumption, taking up space that could serve customers.

  • There was no count of how often customers needed staff in person
  • Front desk waits were unknown until customers complained
  • Parking zones were sized by assumption, not use
See How Safari AI Solves This
What We Deployed

Engagement, waits and parking, measured together.

STEP 01

Connected to office and lot cameras via an on-premise server

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

STEP 02

Measured engagements, waits and parking

Computer vision counted staff and customer engagements, how long each lasted, how long customers waited at the desk, and how full each lot and drop-off zone got.

STEP 03

Matched staffing and space to demand

Dashboards showed when and where customers needed help, and which parking zones were actually used, location by location.

Front Desk & Parking
Facility #1 · Today · Updated 17:05
LIVE
Engagements
64
Today
Avg. Engagement
7.5min
per customer
Desk Wait
2.1min
↓ 0.9 min vs target
Lot Use
46%
Zone C under 15%
Customers waiting at the desk · by hour
CoveredNeeds cover
STAFF ALERT 3
08:0009:0010:0011:0012:0013:0014:0015:0016:0017:00
FacilityEngagementsDesk waitLot useStatus
Facility #1642.1m46%On target
Facility #2414.6m72%Add staff
Facility #3181.2m22%Low lot use
Facility #4522.8m61%On target

Note: Illustrative data

The Result

Faster service at the desk, more space for customers.

A staff member walking a customer down a corridor of storage units
Live
Front Desk Wait

Desk waits and engagement counts showed exactly when customers needed staff in person, so service stays fast.

A customer pushing a loaded hand cart toward a storage unit
Per visit
Engagement Time

Engagement duration showed when and where to position staff, reducing labor costs over time.

Drive-up storage units with a car unloading
Reclaimed
Parking Zones

Measured lot and drop-off use let StorageMart remove unneeded parking zones and give the space to serving customers.

Action Center

Action Center: From Insight to Action.

Measurements like these feed Safari AI's Action Center, which calls in help when the desk gets busy and frees staff when it is quiet.

Measure
Every desk, every lot
→
Alert
Desk wait passes target
→
Recommend
Add or move staff, per SOP
→
Dispatch
Manager notified
→
Outcome
Faster service
  • 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 customers Staff repositioned → ↓ Desk wait → ↑ Time with customers → ↓ Labor cost
Get In Touch

See this at your own facilities.

StorageMart matched front desk staffing and parking space to measured demand using cameras already on site. We'll walk through which desks and lots are the best fit for a pilot on your cameras.

Staff Detection Staff Engagement Dwell Time Dynamic Staff Operations Speed of Service

Get In Touch

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