Open the door to new in-store analytics
The retail industry faces inside and outside pressure. Competition in the retail industry is fierce forcing retailers to exploit the sales floor by capitalising on in-store analytics and digitised business models. New strategies need to make the most of the sales floor, capitalising on in-store analytics and digitised business models. The data gathered with a high precision A.I.-powered people counting and tracking technology lays the foundation for comprehensive in-store analytics.
Unprecedented instore insights
These 3D sensors are the most complete portfolio of sensors on the market and master every people counting and people flow measurement challenge with high precision. This technology enables people counting, people flow measurement and complex in-store analytics applications
People counting, flow & dwell times
Cover large areas and gather highly accurate footfall-related data in dynamic and busy areas, zone dwell time and conversions per customer and/or square meter.
Indoor & outdoor applications
The sensors set industry standards when it comes to accuracy instore. This functionality doesn’t need to stop on your doorstep as the sensors are robust and resistant to all kinds of external influences, such as shadow and heat emission.
Dynamic queue detection
The dynamic queue detection algorithm allows for exact and accurate fill-level, exit-rate, waiting time and abandoner rate calculation. The shape and size of the queues are not static but dynamically adjusted.
In-store occupancy analytics & heatmaps
AI-powered sensors track shopper movements though large area to acquire essential data that offers insights into staffing ratios, profitability of promotions and queue times
Large area tracking
As the name suggests, to combine the overlapping tracking areas of single sensors to a large logical sensor. This even works if the sensors are mounted on different ceiling heights.
Data privacy & security
Image processing takes place directly on the sensor. No video stream leaves the sensor and data privacy is guaranteed. The sensors include a setting to define up to four privacy protection levels, meeting every possible data privacy requirement.
Benefits of customer intelligence in retail
In the retail industry, sensors and algorithms help improve the understanding of customer behaviour. Not only does A.I. further increases the data accuracy of well-established KPIs such as entering or exiting counting and dwell times in store but gathers completely new data for analytics inside the store.
Face mask detection
Covid-19 has changed our daily life and brought us some new regulations. A basic provision is to compel customers and/or visitors to wear face masks and the accompanying obligation to recognise whether a person is wearing a face mask or not.
When running a business of any kind, one of the most essential bits of basic information is the number of customers/visitors. But in practice numbers are easily distorted when staff are also counted. Equip staff with specially designed tags, all with the same standardized pattern and use the Staff Exclusion plugin to exclude staff from the customer counts.
People in groups (buying units) often show different shopping behaviour than individuals. They do their shopping together and often one person pays for the group. Understand the relation between the number of buying units that enter a facility and actual sales figures.
Target group definition is nothing new. Correct identification of the audience affects the planning, creation, and implementation of all activities.
Is your advertising getting seen? Want to find out what your customers attention is focused on? Merchandising and placing an advertisement at the right place is crucial for maximum brand impact. Have the right data for optimisation is the challenge and provide a view direction vector.
Streamline operations, services, and planning
Understanding customer trends by location, date and area, will enable you improve resource planning, increase customer satisfaction and boost revenue.