FAQ

Every pour from a bottle fitted with the free-pour spout — including four fixed portion sizes, bottle-shift registration, and control across 1,000+ spirit and wine brands — reported in real time.

The dashboard compares actual consumption against recorded sales, by bar, waiter or venue, and surfaces the gap as a loss report you can drill into.

Yes — beer and post-mix (syrup, bag-in-box wine, cocktails on draft) get their own real-time dispensing overview alongside the spirit pour data.

Yes — the cloud dashboard and app give real-time stock, purchasing and loss reporting from anywhere, not just from a terminal on-site.

No — the liquor and beverage control system is one module inside a broader back-of-house platform. Live KPI dashboards, ERP/POS/CRM/HRIS integration, group-level reporting and role-based access profiles apply to any back-of-house operation, with or without a bar.

No — the AI theft-detection layer runs an anonymous overlay over CCTV feeds. It flags suspicious behaviour in real time without facial recognition, customer tracking or identity registration.

Store staff get an instant alert with a short video clip of the activity, sent to a mobile device and/or the POS screen, so the response happens while it's still relevant.

All professional-grade brands ITOI supplies and integrates, including Hanwha Wisenet (Samsung), Hikvision, Dahua, Sony and Axis.

Alarm triggers appear in the same video management system as the camera feeds, so a triggered alarm and its corresponding footage are reviewed together rather than as two separate systems.

Refunds, voids and manual discounts at the till are matched automatically to the video of that transaction, and theft-pattern detection looks for the same pattern recurring across transactions or shifts — so a manager reviews the handful of flagged exceptions rather than hours of raw footage.

It's a captive Wi-Fi portal that captures visitor information at login, then uses that data — via a drag-and-drop tool called LogicFlow — to trigger targeted messages, such as a welcome SMS for a first-time visitor or a loyalty offer on a sixth visit.

Yes — splash pages are custom-branded, with options like weather and social-media connect built in alongside free or metered login.

A built-in micro-survey feature collects direct visitor feedback at the point of engagement, alongside heatmap visualisation of where people spend their time.

Both — it's built as a flexible analytics platform for small-to-large format venues.

Content can trigger in real time based on occupancy, time of day or proximity data from the same Wi-Fi and beacon network — an editor sets the rules and content library once, rather than manually swapping screens.

It measures pure foot traffic — visits, passerby traffic, dwell time, new versus repeat visitors, and directional movement through entrances — captured via 3D video people-counting sensors and shown on a single dashboard, from one boutique store up to a multi-venue portfolio.

Yes. Traffic data connects to your point-of-sale data by FTP upload or open API, so foot traffic converts into real sales-conversion figures rather than a traffic count on its own.

Yes — an existing or new IP camera system can be integrated alongside the dedicated people-counting sensors to unlock further in-store metrics and loss-prevention features.

95%+ once a site is set up and validated, covering traffic counts across boutique stores, shopping centres, councils and stadium-scale venues alike.

Heatmap and zone-level performance views, demographic and sentiment analysis, predictive forecasting, and a rolled-up engagement score are now part of the same Intelligence & Analytics platform — built on the same camera and sensor data, not a separate system.

It's scoped around what the rest of the platform needs — cameras, sensors, POS, access gates — and can run alongside existing office IT rather than requiring a full replacement, depending on what's already on site.

Network issues affecting any connected device on the platform — a camera feed dropping, a POS terminal losing connectivity, an access gate going offline — are picked up and worked around the clock, not just during business hours.

Power over Ethernet lets a camera or access point receive both power and network connection over a single cable, so a mounting location doesn't need a separate power point run to it.

99.87% accuracy on the LFW (Labeled Faces in the Wild) benchmark, independently NIST-tested with a False Non-Match Rate under 0.0335 — among the fastest and most compact algorithms tested for real-world, "in the wild" images.

Under 100 milliseconds per face via edge intelligence — 3–5 times faster than competing facial-recognition algorithms — matching against a database of millions of records in near real time.

All facial signatures and images are AES-256 encrypted in transit and at rest; when run on-premises, no data passes over the internet at all.

Yes — it's built to the Australian Privacy Act 1988 and includes administrative controls such as easy opt-in/opt-out, so venues can manage consent directly.

Speedgates, EAS gates, RFID portals and handhelds, car park/number-plate recognition, and attendance/payroll integration all run through the same platform — plus smart fitting rooms and replenishment/aged-stock alerts, which use the same RFID data for inventory rather than access.

No — every uplift figure discussed for Sensory Intelligence (brand recall, purchase-behaviour, proximity conversion and overall sales uplift) is illustrative only, based on industry research and general case studies, not guaranteed results. Actual performance will vary by store, location, creative quality, product mix, staffing, and external factors. These are not ITOI's own client results.

It can run alongside or replace them — the point of the AI orchestration layer is coordinating whichever screens, speakers and scent hardware a venue already has (or is adding) around the same real-time occupancy signal, rather than requiring a single-vendor rebuild.

No — it responds to aggregate occupancy, time-of-day and proximity signals, the same category of data used in Customer Engagement & Signage, not individual identification.

It combines over 60 sensors — day/night cameras, 360-degree cameras, thermal and depth cameras, LIDAR and a badge reader — with machine learning and semantic mapping to flag anomalies like an unfamiliar person, an open door or window, or a missing asset.

It's built to extend a security team's coverage, not replace judgement — the robot brings unlimited attention and perfect recall to patrol routes, while flagged incidents still route to a real response.

Safety concerns as well as security ones — fire hazards, leaks or spills, and anything else out of the ordinary pattern for the space it's patrolling.

Yes — detailed reporting and pattern analysis let a team replay incidents and identify recurring coverage gaps over time.

It uses unlimited mapping with dynamic localisation and 3D AI perception to plan and adjust its own path, with smooth motion control around obstacles and people.

The robot's path planning is flexible, so a change to a floor layout doesn't require a full remap — it adapts as it goes.

Through a smart cloud platform with an open API, giving remote maintenance, over-the-air updates and fleet visibility from anywhere.

Depending on the model — scrubbing, sweeping, mopping, vacuuming and sanitising, indoors or outdoors, across the Scrubber, Sprayer and Phantas ranges.

Yes — predictive roster optimisation, task/compliance tracking and biometric time & attendance sit on the same Workforce, Ops & Robotics platform as the security and cleaning fleets, so a site's staffing plan and its robot coverage can be planned against the same data rather than two separate systems.