Camera-free shopper movement intelligence

Convert in-store behaviour into revenue-generating retail actions.

Uplift Store by Mapsted measures how shoppers actually move inside your locations—traffic, paths and dwell time—then an AI agent translates that behaviour into clear recommendations:

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No cameras. No facial recognition. Built for privacy-first measurement.

How It Works

A simple loop: measure in-store movement, interpret patterns, recommend actions, then validate impact.

1

Capture Movement

Measure traffic, paths and dwell time inside your locations—without cameras.

2

Find Patterns

Identify true hot/cold zones, ignored displays and flow bottlenecks by hour/day.

3

Get Recommendations

An AI agent generates clear, revenue-focused placement moves and test ideas.

4

Measure Uplift

Track performance before/after to build a repeatable playbook that scales.

What You Gain

Merchandising Moves

  • Place high-margin SKUs where attention is proven.
  • Optimize promo visibility with real dwell insights.
  • Fix adjacency and flow issues that suppress conversion.

Store Operations

  • Detect bottlenecks that create friction.
  • Compare performance by daypart and day of week.
  • Standardize layouts with evidence, not guesswork.

Executive Visibility

  • Tie actions to outcomes with simple narratives.
  • Prioritize changes with the highest expected ROI.
  • Build a scalable "what works" playbook.

Make Your Store a Growth Channel

Uplift Store turns real shopper movement into decisions you can act on: where to place promoted products, which displays are being ignored, and what layout changes remove friction.

Behavioural Truth

See what actually happens in the aisle—not what people remember.

Recommendations

An AI agent converts movement + dwell into clear actions.

Measurable Uplift

Run repeatable tests and track which changes move revenue.

Common Placement Questions We Answer

  • Are our high-margin products sitting in low-traffic zones?
  • Which endcaps or displays are being ignored—and why?
  • Where do shoppers slow down, turn back, or bottle-neck?
  • Which layout and adjacency changes are likely to lift revenue?

Built for Retail Teams

  • Merchandising & category managers
  • Retail operations & store leadership
  • Marketing & promotions teams
  • Analytics & strategy groups

Privacy-First Retail Intelligence

No cameras, no facial recognition — supports GDPR-compliant deployments.

Camera-Free

Measure movement behaviour without video capture.

No Facial Recognition

Designed to avoid identifying individuals.

GDPR Aligned

Privacy-by-design principles for modern retail environments.

What's Captured:

  • Aggregated movement patterns (traffic, paths, dwell).
  • Zone-level performance by time (hour/day).
  • Operational friction signals (e.g. bottlenecks).
*Data handling and configuration should be reviewed with your privacy and compliance teams.

What You Avoid:

  • Video footage collection.
  • Facial recognition or identity inference.
  • Sensitive shopper profiling.
*Always validate compliance requirements for your region and policies.

Outcomes Teams Care About

Prioritize changes that improve revenue performance and the shopper experience—then validate with measurement.

Merchandising Moves

Merchandising Moves

Put the right products in the right places based on real attention.

Lift Promo Efficiency

Lift Promo Efficiency

Reduce wasted display space by validating what’s actually seen.

Reduce Friction

Reduce Friction

Identify bottlenecks and dead zones that quietly erode sales.

A Simple Test-and-Learn Loop

1

Pick a placement hypothesis (e.g., "move high-margin items into proven dwell zones").

2

Apply the recommended change in a set of stores or time windows.

3

Compare movement metrics and sales outcomes to establish what works.

4

Roll out winners and turn them into a repeatable playbook.

KPI diagram
Retail example

Stop guessing. Start uplifting
sales with evidence.

See how Uplift Store can translate in-store movement into a repeatable merchandising playbook.

Retail-ready

Built for store operations and merchandising teams.

Action-first

Recommendations you can implement, test, and scale.

Privacy-first

Camera-free measurement designed for GDPR compliance.

Frequently Asked Questions

Uplift Store is designed to measure movement and dwell without cameras or facial recognition. It focuses on privacy-first behavioural signals and converts them into merchandising actions.

Recommendations typically focus on product placement, promo visibility, display effectiveness, and reducing friction from bottlenecks—prioritized by expected business impact.

Yes—Uplift Store is built to help you see hot and cold zones and movement patterns by hour and day, so you can optimize for dayparts and weekly rhythms.

Use a test-and-learn approach: implement the recommended change in a subset of stores or time windows, compare before-and-after metrics, and roll out what measurably improves outcomes.

Uplift Store is designed with privacy-by-design principles and avoids cameras and facial recognition. Compliance requirements vary by region and policy, so you should validate with your legal and privacy teams.