Data Science

MindGaze

See through the eyes of shoppers -
AI-powered attention prediction for shelf layouts, POS materials, and packaging

 

Make better decisions where purchase decisions are made.

 

MindGaze reveals what shoppers actually perceive at the moment of decision – and what truly influences their choice.

With AI-powered attention and perception prediction, you can measure, analyse and optimise shelf layouts, shopper marketing materials and packaging from a real shopper perspective – AI-driven, objective, comparable and delivered in seconds.

 

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MindGaze is an AI-powered analysis and decision platform that predicts visual perception and shopper decision-making across all relevant touchpoints.

 

Based on behavioural science insights and advanced AI models, MindGaze analyses how visual stimuli are perceived, cognitively processed and translated into concrete choice decisions.

MindGaze focuses specifically on shopper decision logic in retail – within realistic competitive and shelf environments, as well as across digital and physical shopper marketing materials.

 

This enables MindGaze to support well-informed decision-making in category management, shopper marketing, and packaging.

“With MindGaze from Yagora, we now have an AI-powered tool that enables us to optimize shopper marketing assets in a data-driven way within a very short time. The solution provides us with clear insights into the perception and impact of our POS materials - before they even go live. This allows us to ideally integrate POS materials into the shopper journey and thus achieve increased sales.”

 

Lars-Benedikt Liebert, Head of B2B Shopper Marketing, The Quality Group

Validation & Data Foundation

 

MindGaze is based on scientifically validated models of visual perception and decision-making, developed and tested as part of a doctoral thesis.

 

Our foundation:

  • Behavioural science-based perception and decision-making models
  • Over 14 million training images from realistic retail, shelf, packaging and communication contexts
  • Several specialized AI models, including for attention, visual orientation, information processing, and decision relevance
  • Reproducible, comparable results as a scalable alternative to complex testing

 

Outcome: Reliable decision foundations instead of isolated individual measurements.

Solution Areas

 

1) Packaging Design

MindGaze evaluates packaging not in isolation, but within realistic competitive and shelf environments – where decisions actually happen.

 

Your value:

  • Objective comparison of design, colour and claim alternatives
  • Early identification of visual weaknesses
  • Reduced launch and relaunch risk
  • Stronger purchase impulses through cognitive ease in the decision process

 

Typical use cases:
New development · Relaunch · Design iteration · Selection between design routes

 

2) Shelf & Category Management

MindGaze analyses how shoppers read shelves, orient themselves and select products – from the shopper’s perspective, not planogram logic.

 

Your value:

  • Optimisation of shelf structure, blocking and assortment logic
  • Comparison of planogram alternatives based on real perception
  • Sound basis for decision-making in category reviews
  • Stronger, evidence-based arguments in retailer and annual negotiations

 

Typical use cases:
Category reviews · Planogram development · Annual negotiations · Assortment decisions

 

3) Shopper Marketing Materials (POS)

MindGaze measures whether POS materials are not only noticeable, but understood – and whether they truly support choice.

 

Your value:

  • Prioritisation of effective POS mechanisms that support decision-making
  • Reduction of inefficient or overloaded materials
  • Higher activation impact with the same budget
  • Clear evidence of which elements provide orientation – and which merely distract

 

Typical use cases:
POS concept development · Campaign evaluation · Retailer alignment · Budget prioritization

From Analysis to Desicion

 

MindGaze translates complex analysis results into clear, actionable recommendations and delivers concrete, prioritised optimisation guidance for packaging, shelves and POS materials.

pfeil rauf

Do more:
Strengthen elements that actively support choice

pfeil runter

Do less:
Reduce stimuli that capture attention but add no value

Yagora Category Management and Shopper Experience Kaufhuerden

Stop:
Eliminate measures without proven impact

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Our Approach

 

MindGaze combines behavioural science fundamentals with AI-driven analysis, deliberately focusing on:

  • Comparable scores instead of subjective assessments
  • Clear interpretation instead of black-box results
  • Operational usability for real retail decision processes

 

The focus is not generic marketing effectiveness, but the concrete question of how visual stimuli influence shopper decisions.

 

 

Our Services

  • Impact analyses for shelves, POS, and packaging
  • Comparability of concepts, variants and scenarios
  • Concrete, prioritised optimisation recommendations
  • Results delivered as presentation or dashboard
  • Fast analyses without field tests, eye-tracking or surveys
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