Action Center

Turn your cameras into operational improvements.

The action center finds opportunities your cameras already see. It enables your team to intervene, and calculates the impact of taking action.

Trusted by operators across North America & Europe
SUMMIT One Vanderbilt DOE Goodwill Brightline Stanford L'Enfant Calgary Flames StorageMart Herschend Anakeesta Charlotte Hornets Barcelona Aquarium Yum Brands Merlin Entertainments
The Problem

A dashboard tells you something is wrong. It never tells you what to do about it.

  • Numbers without a next move: the operator on the floor has to work out the fix themselves.
  • No records of decisions: dashboards don't know when or how you handled operations problems.
  • Unknown outcomes: operators don't know which responses are most effective.
Concessions queue with each guest tracked and their wait time labelled
Concessions queue
6 min
Fast 15 in line
Gate A entry
1,240
+3.7% vs last event
Recommended action
Open another POS
Owner: Marcus Lee
Est. revenue +$3,600
The Solution

The Action Center runs the MARAO™ on your operation

Measure & Alert
Your cameras produce the metric. The owner gets the alert.
Main St. Concessions 7:04 PM
Queue wait
14 min
Past the 6 minute threshold, guests walk away from the line.
Recommend & Act
Your own SOP, sent to a named person and logged on site.
ML
Marcus Lee
Concessions Lead
Dispatched to
Open POS 3
Scanned at the tag, 7:09 PM.
Outcome & Plan
Re-measured, priced in dollars, fed into the next plan.
Measured 30 min later 7:39 PM
+$3,600
Concessions revenue gained
Next event
Keep POS 3 open entire event
Run the MARAO™ on your operation
One real problem on your property, on the cameras you already have.
Book a Demo
What We Measure

Every recommendation starts from a measurement.

Safari AI vision tracking every skier in a chairlift queue
Summit Express · Chair fill
68% of seats filled
4.1 of 6 seats per chair, last 15 min
Queue Wait Time
How long guests stand in any queue.
Occupancy
Headcount for any zone, not just the front door.
Throughput
How many people or vehicles clear each point.
Dwell Time
How long guests linger in a section or seat before moving on.
Staff Coverage & Engagement
Whether a position is covered, and time spent with guests.
Footfall & Door Counts
People and party counts at any entry point.
Vehicle Counts & Plates
Vehicles by type at gates and lots, with license plate reads.
And more
Merge ratio, guest journeys and metrics built for your operation.
How It Works

Your existing cameras. Live in 2 weeks.

Day 1 01
Camera review
Send your camera layout. We confirm coverage and flag gaps.
Week 1 02
On-prem install
A server inside your network connects to existing feeds.
Weeks 1–2 03
Load your SOPs
We turn your response playbooks into recommendations.
Live 04
Go live
Actions reach the right staff member, and outcomes start posting.
Who It’s For

Anywhere staff on the ground can change the outcome of the day.

FAQ

Frequently Asked Questions

Where do the recommendations come from?

Your own standard operating procedures. During deployment we load the plays your team already runs for each situation, so the Action Center recommends what your supervisors would recommend. As outcomes accumulate, recommendations shift toward the responses that measurably worked.

How is dollar impact attributed to an action?

Once the action is logged, we measure the same metrics again and compare them to the trend the operation was already on. The delta is converted using the revenue assumptions you give us during setup, such as average transaction value, ticket price or parking rate. The assumptions are yours, so the number is auditable.

Do I need to install new cameras?

We prioritize the CCTV and IP cameras you already have, and POCs launch without any new installations. For larger rollouts, clients often install cameras that give specific views of their operations.

How long does deployment take?

Most customers are live within 2 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. It typically takes just 30 minutes of your IT team’s time, and Safari AI engineers handle the configuration.