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Smart Hospitality

Match your teams to how guests actually use your spaces

Lobby, restaurant, breakfast room, pool, spa: VIDEO.MA anonymously measures occupancy and flows in your common areas, as well as waiting times at reception, helping your teams anticipate peaks without compromising the guest experience.

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Illustration — fictitious demo data

What it is costing you today

Free audit

How many guests wait too long at reception?

Check-in waits weigh on first impressions and on reviews, yet they are rarely measured. Tracking reception queues by time slot lets you reinforce the front desk at the right moments.

Do your common areas cost more than they are used?

A lounge, pool or spa with low attendance still ties up staff and maintenance. Measuring their real occupancy helps adjust opening hours and the resources assigned to them.

Is your breakfast team matched to actual attendance?

Breakfast peaks vary with the day and with occupancy, and rotas rarely follow that rhythm. Measuring room attendance by time band lets you size the service without waste.

Hospitality & Hotels

Industry challenges

01

Peaks at the worst possible moment

Group check-ins, a packed breakfast room or a crowded pool: peaks are known by instinct but rarely measured.

02

Reception waits that weigh on satisfaction

Waiting at check-in or check-out is one of a guest’s first impressions of the property, yet its actual duration is seldom tracked.

03

Staffing based on gut feeling

Without occupancy data by space and by hour, allocating staff between restaurant, front desk and leisure relies on experience alone.

04

Spaces whose use is poorly understood

Some areas are underused, others overcrowded, with no objective indicator to decide on opening hours or layout changes.

VIDEO.MA

What VIDEO.MA delivers

Common-area occupancy

Per project

Anonymous measurement of how many people are in the lobby, restaurant, pool, spa or gym.

Guest flows between spaces

Per project

Aggregated counts at the entrances of each space to understand how they are used throughout the day.

Reception queues

Per project

Estimated number of people waiting and wait time at the front desk, with alerts above a threshold.

Breakfast attendance

Per project

Monitoring of breakfast room occupancy and waiting at the entrance or buffets to anticipate restocking and service.

Operational analytics by period

Per project

Reports by day, week or season to compare space usage and adjust opening hours and staffing.

PMS correlation

Feasibility study

Comparing space attendance with room occupancy from your property management system, depending on its interfaces.

Example metrics

  • Occupancy by space

    Video data

    Number of people in each common area, measured by video.

  • Average reception wait

    Video data

    Average time spent queuing at the front desk, estimated from video.

  • Breakfast peak

    Video data

    Time and level of peak occupancy in the breakfast room, derived from video.

  • Room occupancy rate

    Business integration

    Taken from your PMS; never inferred from images.

  • Attendance per in-house guest

    Video + business data

    Measured attendance of a space divided by the number of in-house guests from the PMS.

Dashboard preview

Dashboard · Seafront Hotel — TodayDemo data

Breakfast peak

164 people at 9:10 am

Average reception wait

5 min 20 s

Pool occupancy

47 people

Lobby passes

1,036

Activity per hour

Events

  • Queue > 6 people — Reception
  • Breakfast room at 90% capacity
  • Spa: low attendance between 2 pm and 4 pm
Illustration — fictitious demo data

Deployment approach

  1. 1

    Space audit

    Identification of the areas to analyse, inventory of existing cameras and review of the privacy constraints specific to each area.

  2. 2

    Zone and indicator configuration

    Definition of counting zones, queues and alert thresholds, excluding areas where analysis is not appropriate.

  3. 3

    Pilot over a typical period

    Testing at reception and in one dining area to validate accuracy and how useful the indicators are to your teams.

  4. 4

    Rollout and support

    Extension to other areas, optional PMS integration, manager training and regular follow-up.

Prerequisites, limitations and privacy

  • Certain areas, such as the spa, changing rooms or wellness facilities, call for particular care: analysis is limited to entrances or excluded altogether depending on the case.
  • Analysis is anonymous and aggregated, with no facial recognition and no individual tracking of guests or staff.
  • As data controller, the hotel must inform guests and employees and complete the formalities required by Law 09-08 with the CNDP; VIDEO.MA can support this.
  • Correlating with room occupancy requires PMS integration, whose feasibility depends on the software vendor.

Frequently asked questions

Are hotel guests identified?

No. The proposed solutions count people and measure durations anonymously, with no facial recognition and no link to booking data. Processing can run on site to limit how far images travel.

Can the pool and spa be analysed?

The pool can generally be analysed for overall occupancy. For the spa and wellness areas, analysis is limited to entrances or excluded entirely to protect guest privacy.

How does this help with staffing?

Occupancy history by space and hour provides an objective basis for adjusting reception, food and beverage and activity rotas. Decisions remain with your managers, informed by measured data.

Do we need new cameras?

Not necessarily. Cameras covering entrances and common areas can often be reused; the audit indicates whether additional units are needed for specific indicators.

Have a project in this industry?

Get a quote tailored to your sites, cameras and metrics.