Store cognition networks:
- Position of all customers
- Age
- Gender
- Size
- Product interest
- Attention span
- Shopping basket
Like an invisible assistant, our technology modules follow customers through the store. In the process, they gather precise and valuable information about each individual’s behavior and interests. An ever-growing combination of modules captures valuable data along the individual’s journey through the store. Store visitors are presented with a world of personalized content and real brand experiences that inspire them.
A customer enters the store and is registered at the first step by a 3D sensor and camera. The fingerprint module generates a random ID. From then on, the invisible assistant is connected to the customer and learns from the customer’s movement patterns and time spent throughout the store. The connection remains constant even when the customer changes floors. During the customer’s shopping experience, the People Flow module simultaneously collects information such as the current number of visitors, the occupancy of the various zones, as well as parameters such as gender and age, and even subtleties such as the direction of gaze. The Lift & Learn module uses sensor technology to measure the frequency and duration of interaction with selected merchandise. Finally, the Cash Register module merges metadata from the customer and the checkout, providing key insights into which products the customer was interested in and which were actually purchased. And at the end of the transaction, the randomly generated ID is linked to the products purchased. All of this is done in full compliance with privacy laws.
This innovative way of collecting data at the POS opens up enormous potential. Retailers can understand their customers on the spot and then take targeted action to respond to their needs, retain them and increase sales.