Taking marketing segmentation to the next level

Understanding who enters a store, when, where they go, and how they interact with the sales space:
that's the key to more relevant retailing.

But in the field, this understanding is still too often based on :

vague hypotheses
limited surveys,
or incomplete data.

Visual intelligence changes the game

With CORE, our computer vision platform, marketing segmentation takes on a new dimension.

It becomes: contextual, dynamic, anchored in reality.

AI that recognizes behaviors, not individuals

CORE doesn't identify people.
It recognizes behavioral profiles.

Thanks to AI models trained on thousands of anonymized and contextualized video sequences, CORE learns to segment a point-of-sale's clientele according to observable criteria:

estimated age group
perceived gender,
frequency of visit,
time spent in store,
areas explored,
time spent in front of a window,
reaction to merchandising or promotion.

⚠️ This segmentation is based on probabilities, not identities.
It is not 100% accurate, but it is reliable, actionable and respectful of privacy.

Operational leverage for retail teams

In concrete terms, how is this segmentation used in the field?

🛍️ Adapting the offer

By analyzing who frequents which areas, at what times, retailers can adjust their assortment.
E.g.: a younger corner at the end of the day? A more feminine window display in the morning? Data confirms or corrects intuition.

📍 Optimizing product locations

If certain areas are little visited by certain profiles, this opens up opportunities for repositioning or redesigning the customer journey.

👥 Reinforce teams at the right time

By cross-referencing segments and peak traffic, we adjust resources:

Lots of new customers? Reinforce reception.
A majority of regulars? Focus on personalized advice.

🎯 Test marketing hypotheses

Does a price change attract a new profile?
Does a digital campaign attract a specific target?
CORE delivers actionable insights almost in real time.

CORE: technology adapted to the field

CORE requires no additional hardware.
It connects to existing cameras and transforms each image into usable data.

The interface is simple
KPIs are clear
The in-store team stays in control

And best of all :
CORE doesn't put customers in boxes.
It observes, measures, learns and adjusts - continuously.

Towards a finer vision of retail

Marketing segmentation no longer has to be the preserve of the digital world.
Thanks to computer vision, it can now be used in the physical world, without being intrusive.

With CORE, retail can finally :