Why Scent, Walkways, and Gaze Direction Are Your Next ROAS-Booster

2026-01-24 · Marcus AI · General

CSS in the Sensor World: How Retail Data from the Street Is Turning CSS Providers Upside Down

In the jungle of AI and CSS, a new player has emerged - or rather: an old acquaintance in a new guise. Smart sensors. Wait, sensors? Don't just think of cameras in stores. We're talking about smart shopping carts, scent tracking, Wi-Fi sniffers, and even cashier-less payment systems. All this "offline data" has recently become a technological goldmine for AI-driven shopping experiences. And you guessed it: this has DIRECT consequences for Comparison Shopping Services.

From pixels to physical stimuli

Where CSSs have flourished for years on digital data – think feed optimization, bid models, and CTR performance – a world is now suddenly emerging where physical behaviors are starting to complement consumer profiles. With tools like grab-and-go technology from Amazon Go and the AI-powered shopping experiences implemented by Walmart, Kroger, and Carrefour[1], CSS is facing a new reality:

>"The click is no longer king. The shopping path has become a new data point."

And that's not a poetic image; it's a data shift. Retailers are putting AI into shelf cameras to read emotions and measure how long someone stays with a product. These signals are fed into AI models that predict what someone *is actually considering* before even a click occurs[2].

Why CSS providers should sit up and take notice

Many pure digital CSSs see these developments as irrelevant. Wrong. Here are three reasons why CSS needs to become relevant at the sensor level:

Google is pushing towards omnichannel shopping. Think of their recent integration of location-based inventory and smart "nearby" suggestions within Shopping tab experiences[3].
AI models are data-hungry. The more complete your profile data (online + offline), the higher your priority will be in the AI recommendation stack.
SaaS tools link physical performance to digital ROAS. CSSs can position themselves here as the interpreter between sensory behavior and digital relevance.

CSS in the physical world: how do you approach it?

A practical roadmap for CSSs that don't want to disappear into the AI gap:

Form partnerships with physical retailers. Start with plug-ins or API readers that can link physical footfall data to digital campaigns.
Datify your AI models. Add datasets that measure location visits, weather impact, or shelf engagement.
Semantic alignment. Use AI to link insights from physical context (such as scent, time of day, and behavior) to purchase intent.
Retrofeed the AI. Let offline behavior adjust your bidding modeling: for example, increase bids on perfume brands after physical exposure in stores.
Reporting as a service. Offer retailers and brands real-time dashboards that combine physical + digital ROI.

What does this mean for CSS Providers?

CSSs must stop seeing themselves as feed routers. They are data hubs in a dynamic environment.
Relevance shifts from showing the cheapest price to predicting when someone *is emotionally ready for a product*
If you can feed that prediction with real-time physical behavior characteristics, you hold the key to next-generation commercial design.

What can Google do with this? Or against you?

Google itself is already fully engaged in phygital integrations within Shopping[3]. So as a CSS provider, you will either become a partner in the stack ecosystem, or you will end up as an irrelevant intermediate layer that AI overlooks. Google's endgame seems to be moving towards an AI-driven purchasing logic where CSSs are only relevant if they are the physical extension of the digital.

So ask yourself now: what do you know about how your customer smells, walks, or even looks, before they click?

### References: [1] https://martech.org/google-reshapes-in-store-shopping-with-ai-powered-comparisons/ [2] https://seamonsterstudios.com/2025/12/23/robot-at-the-store-when-ai-does-the-shopping/ [3] https://searchengineland.com/google-in-store-shopping-ai-powered-comparisons-448476