Marketing segmentation goes to the next level

Understanding who enters the store, when, in which areas they go, and how they interact with the sales space: this is the key to more relevant retail.
But in practice, this understanding often relies too much on vague assumptions, limited surveys, or incomplete data.

This is where visual intelligence changes the game. With CORE, our computer vision platform, marketing segmentation takes on a new dimension: it becomes contextual, dynamic, grounded in reality.

An AI trained to recognize behaviors, not individuals

CORE does not identify individuals. It recognizes behavior profiles.
With AI models trained on thousands of anonymized and contextualized video sequences, CORE learns to segment customers in a retail environment based on observable criteria: estimated age group, perceived gender, frequency of visits, time spent in the store, areas explored, time spent in front of a display, reaction to merchandising or a promotion.

This segmentation is not 100% accurate; it is based on probability, not identity. But it is sufficient to create reliable, actionable, and usable trends, while respecting customer privacy.

A powerful operational lever for retailers

In practical terms, what is this segmentation used for on the ground?

🛍️ Adapting the offer: by understanding which type of customer frequents which area of the store and at what time of day, brands can adjust their assortment. A younger corner at the end of the day? A more feminine display in the morning? The data confirms or refutes this.

📍Optimizing product placements: CORE allows you to see if certain areas are underexplored by certain profiles. This opens up opportunities for repositioning, highlighting, or redesigning the customer journey.

👥 Strengthening teams at the right times: by correlating customer segments with peaks in traffic, retailers can better size their teams. A flow of first-time visitors? Let’s strengthen the welcome. A majority of regulars? Let's prioritize personalized advice.

🎯 Testing marketing hypotheses in real-time: does a price change attract a new type of customers? Does a digital campaign generate more visits from a specific target? CORE provides precise insights, nearly in real time.

CORE: a technology that adapts to the reality of retail

CORE does not require additional equipment. It connects to the cameras already present in stores and transforms each image into usable data. The interface is simple, the KPIs are clear, and the retail team retains control: insights are accessible, actionable, and interpretable.

Above all, CORE does not lock the customer into a category. It observes, measures, learns, and adjusts continuously. Because customer behavior evolves. And the data must keep up with this movement, without judgment or excessive simplification.

Toward a finer vision of retail

Marketing segmentation should no longer be reserved for digital channels alone. Thanks to computer vision, it is finally entering the physical world, never becoming intrusive.
With CORE, retail becomes capable of understanding who enters, how customers interact with the space, and how to serve them better.

This is not science fiction. It is already in stores. And it is transforming retail.