Manhattan Mini Storage

Case Study — Manhattan Mini Storage

Making Every Loading Bay Earn Its Space

Manhattan Mini Storage used Safari AI to measure loading dock and parking stall occupancy and vehicle dwell time across its storage facilities.

Live
Bay Occupancy
Per stall
Dwell Time
Every site
Compared

Measured from existing loading dock cameras

A customer and staff member wheeling boxes from a van at a Manhattan storage loading bay

Vans double-parked outside a busy storage loading dock on a narrow Manhattan street
The Challenge

In Manhattan, every loading bay was expensive real estate.

Storage customers arrived by car and van to load and unload, and every facility needed enough curb and dock space to serve them. Without measurements, it was impossible to tell which stalls sat idle, how long vehicles stayed, or which locations needed more space.

  • There was no record of how often each stall or bay was used
  • Long stays blocked space for the next customer
  • There was no way to compare utilization across locations
See How Safari AI Solves This
What We Deployed

Every stall, every vehicle, every location.

STEP 01

Connected to loading dock cameras via an on-premise server

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

STEP 02

Measured occupancy and dwell time

Computer vision tracked when each stall and bay was occupied and how long each vehicle stayed.

STEP 03

Compared utilization across stores

Dashboards ranked stalls and locations by utilization, so underused space could be repurposed and busy sites got attention.

Loading Dock Utilization
All locations · Today · Updated 17:05
LIVE
Bay Occupancy
72%
↑ 4 pts vs last wk
Avg. Dwell
22min
↓ 3 min vs target
Vehicles Today
214
All locations
Idle Stalls
9
Under 20% use
Occupied bays (%) · Location #1
At targetBelow target
TARGET 75%
08:0009:0010:0011:0012:0013:0014:0015:0016:0017:00
LocationBaysUtilizationAvg. dwellStatus
Location #1682%19mOn target
Location #2441%26mUnderused
Location #3877%34mLong dwell
Location #4576%18mOn target

Note: Illustrative data

The Result

More value from every foot of curb and dock.

An efficient loading dock with staff helping customers move boxes
Live
Bay Occupancy

Every stall and bay was measured in real time, so decisions about valuable space rest on data, not impressions.

A customer loading moving boxes into a car at a loading bay
Per stall
Underused Space

Stalls that sat idle were identified, so they can be converted into new revenue streams.

A row of parking stalls beside an urban storage building
Every site
Location Comparison

Utilization was compared across locations, showing which facilities need more dock space and which can do with less.

Action Center

Action Center: From Insight to Action.

Measurements like these feed Safari AI's Action Center, which flags an overstaying vehicle or a full dock before the next customer arrives.

Measure
Every bay, every stall
→
Alert
Dwell passes the limit
→
Recommend
Move or reassign, per SOP
→
Dispatch
Site staff notified
→
Outcome
Space for the next customer
  • 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 Bay freed → ↓ Dwell time → ↑ Bays available → ↓ Wait to unload
Get In Touch

See this at your own facilities.

Manhattan Mini Storage measured dock and stall use across its locations from existing cameras. We'll walk through which bays and lots are the best fit for a pilot on your cameras.

Vehicle Counts Occupancy

Get In Touch

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