FAQ

Getting started is simple. Just send us an email, and our partner team will contact you within 24 hours to begin the process.

We welcome partners with all levels of experience. While a background in people-counting sensors is a plus, we are fully equipped to support partners new to the industry. Our goal is to provide you with the tools and knowledge you need to be successful from day one.

Retailers should measure AI performance against real business outcomes, not only the technical accuracy of an AI model.

For physical stores, important KPIs can include footfall, passerby traffic, capture rate, conversion rate, dwell time, queue and waiting time, occupancy and visitor groups.

For example, if AI is being used to optimize staffing, merchandising, store layouts or marketing, retailers can compare these KPIs before and after an AI-driven change to determine whether customer behavior actually improved.

AIRIA provides anonymous physical-world measurement data that can be used as an independent input for this analysis.

The most useful way to measure AI ROI is to connect an AI-driven decision to a measurable change in store performance.

For example, if AI recommends a different window display, retailers can compare passerby traffic, window dwell time and store entry rates before and after the change. If AI is used for staffing optimization, queue length, waiting time and visitor traffic can be compared.

When visitor data is combined with POS data, retailers can also analyze whether changes in traffic and customer behavior resulted in higher conversion or sales.

AI is only as useful as the data available to it. Sales data tells an AI what customers purchased, but it does not show how many potential customers entered the store, how many walked past, how long they stayed or whether queues may have affected their experience.

Accurate footfall and behavioral data gives AI systems additional context about what happened in the physical store and helps distinguish between changes in customer demand and changes in store performance.

Depending on the sensor configuration, retailers can measure KPIs including:

- Passerby traffic

- Store entrances and exits

- Capture or turn-in rate

- Visitor groups

- Dwell time

- Zone engagement

- Queue length

- Waiting time

- Occupancy

These metrics help create a measurable customer journey for the physical store, similar to the traffic, engagement and conversion funnel used in e-commerce.

Footfall measures how many people enter a store.

Capture rate compares the number of people entering the store with the number of people passing the storefront.

Conversion rate compares store visitors with completed transactions.

Together, these KPIs help retailers understand different stages of store performance: attracting potential customers, bringing them into the store and ultimately converting visits into purchases.

AIRIA provides the visitor measurements required for these calculations. Conversion rate additionally requires transaction data from a POS or other sales system.

Yes. AIRIA is designed to provide its measurement data to external platforms rather than locking the data into a single analytics system.

Sensor data can be pushed to other systems using standard integration methods such as APIs and HTTPS. This allows retail analytics platforms, data warehouses and AI applications to combine AIRIA measurements with other information such as POS transactions, staffing, marketing or operational data.

A retailer should define the KPI that an AI recommendation is expected to influence before implementing the recommendation.

For example:

- A window-display change can be evaluated using passerby traffic, window dwell and capture rate.

- A staffing recommendation can be evaluated using visitor traffic, queue length and waiting time.

- A layout change can be evaluated using visitor flow and dwell time.

- A marketing campaign can be evaluated using traffic, capture rate and conversion.

Comparing these measurements before and after the change provides objective evidence of whether the recommendation produced the intended result.

It means you purchase the hardware outright and own it. There are no recurring annual fees or subscriptions required to use the sensor's full feature set.

The AIRIA sensor comes with a one-year standard warranty. We offer a free-of-charge replacement for any sensor that is Dead on Arrival (DOA) or experiences defects within the first year.

Yes, for long-term peace of mind, the standard warranty can be extended for up to five years.

The sensor is powered using the IEEE 802.3af Power over Ethernet (PoE) standard, allowing for a streamlined installation using a single cable for both power and data. You will need to connect it to a PoE injector or a PoE-compatible network switch. A separate power supply is not included.

The sensor is highly efficient, with a maximum power consumption of just 5 Watts.

The sensor is designed for low-light conditions, requiring a minimum of 9 Lux. To put that in perspective, it's bright enough to see and move around without bumping into things, but too dim to comfortably read a book.  

To guarantee the highest data accuracy, we include a remote setup and validation service performed by our experts. Once the sensor is installed and connected to the network, our team takes over. We conduct a final manual validation for one hour and provide a comprehensive validation report that you can share directly with your customer.

The AIRIA sensor is designed for simple and flexible integration. It supports real-time data push through several standard methods, including API, HTTPS, and FTP. 

We provide the complimentary, cloud-based AIRIA Management Tool. Its primary goal is to keep you remotely connected to your entire sensor fleet, enabling you to monitor device health and deploy firmware updates with ease.

To ensure all data is transmitted securely, the AIRIA sensor utilizes industry-standard encryption protocols, including HTTPS for web traffic and IEEE 802.1X for network access control.  

The sensor features built-in brute force attack protection. After a series of incorrect login attempts, the device will automatically block all authentication requests for a configurable period, securing it from unauthorized access.

  Privacy is at the core of our design. The AIRIA sensor performs all processing on-device, a strong foundation for privacy that aligns with data minimization principles under GDPR. The output is completely anonymous count data (like events, vectors, and dwell times), meaning no personal data or biometrics are ever processed or stored.

Yes, for system validation, you can enable a special Privacy Mode. In this mode, camera images are obfuscated in real-time. The static background remains visible for context, but moving individuals are pixelated, making them completely unrecognizable.