Highlights

Turning Retail Data into Business Results

Clear, high-definition shelf imagery
Elevate Ad Revenue

Real-time data quantifies offline ad performance.

Real-time alerts with no extra infrastructure
Optimize Store Layout

Data-driven insights maximize sales and flow.

Compact Design & Long Battery Life
Streamline Staffing Costs

Align personnel with traffic to reduce labor.

Features

Smart and Data-driven Retail Environment

It's located through Bluetooth.

Bluetooth-Powered Shopper Analytics

Collects signals to map traffic, create heatmaps, and estimate advertisement exposure, enabling high-value, data-backed ad placements for additional revenue streams.

This image shows tracking of movement paths.

Data-Driven Layout Optimization

Utilizes detailed heatmaps to strategically place promotional products in high-traffic zones. Maximizes space utilization and effectively clears slow-moving inventory.

This is the appearance of people discussing based on the identified customer movement.

Dynamic Staff Deployment

Provides insights into peak zones and times. Retailers can optimize staff schedules and allocation, drastically reducing unnecessary labor costs and improving customer service.

Current Pain Points

What Happens without Shopper Heatmap Analysis

Dashboard Pictograms.

Unclear Ads ROI

Lack of data on ad exposure and shopper engagement.

One check mark and three Xs.

Inefficient Layout Decisions

Store layouts are often based on intuition, not data.

a pictogram on which the scale is tilted.

Suboptimal Staff Allocation

Mismatch between staff levels and fluctuating shopper traffic.

FAQ

Explore frequently asked questions about Shopper Heatmap Analysis.