AI video analyticsscenario
Queues and traffic on the floor
Retail · restaurant · front desk · a shift run on occupancy facts
Guest and customer flows in numbers
We count queues, occupancy, peaks at checkout or the front desk. The manager sees where staff is short and where tables sit idle — in the moment, not from evening till reports.
The pain we close
The queue grows — staff finds out last
Seating and idle tables are not measured
Shift peaks are planned “by eye”
No comparable days/hours for hiring
What’s in the pilot
Floor zones
Checkout, entrance, seating, front desk — what we count.
Flow metrics
Queue length, wait time (where possible), occupancy.
Shift alerts
Queue threshold → notification to the manager.
Summary
Hours/days for shift planning.
Related experience
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Cost guides
The pilot is one location (floor/checkout). A branch network — after the pilot.
| Package | What’s included | Price | Timeline |
|---|---|---|---|
| Queue / seating pilot | 1–2 zones, alerts, report | from $2,841 | 3–6 weeks |
| Location network | Rollout, a shared portal, SLA | by scope | from 2 months |
The full quote drivers block is on AI video analytics and in pricing.
FAQ
Is this employee surveillance?
The scenario is about service and zone load. We lock goals and access policies with the client; we do not replace HR control without a separate spec.
Discuss a queue pilot
Location type (retail/restaurant/front desk) and 1 shift pain — enough to estimate the pilot.
