What is Retail Analytics?
Retail Analytics is an automated store intelligence system designed to measure pedestrian traffic flow, map spatial heatmaps, and track shelf engagement.
By processing camera feeds directly on local edge hardware, the system counts shopper footfall and gauges dwell times inside specific aisles, applying GDPR face-blur filters in memory to protect shopper privacy.
This operational dataset helps store managers optimize floor layouts, evaluate product placement success, and plan staffing levels based on empirical traffic peaks.
Retail Analytics with LogiScan
Deploying Retail Analytics models onto LogiScan’s local edge compute system converts standard video feeds into active store insights. Here is our edge deployment checklist:
Sub-15ms Density Maps
Generate real-time shopper heatmaps and traffic flow pathways locally without lag.
GDPR Face Anonymization
Automatically blur faces and license plates in local RAM buffer before writing logs to disk.
Engagement Analytics
Log product dwell and aisle traffic index metrics directly to store manager dashboards.
Zero Camera Swaps
Bridge directly into your existing IP camera infrastructure via standard RTSP protocols, avoiding rewiring costs.
Deploying Analytics in Minutes
Our customer portal allows security administrators to easily configure stream integrations and bind AI playbooks without writing code.
Register Camera Stream
Provide the RTSP address, IP camera feed, or link your existing VMS/NVR grid directly within the stream manager portal.
Draw Polygon Detection Zones
Define active tracking boundaries and safety tripwires directly on the live camera viewport overlay inside the browser.
Bind AI Model Playbook
Select and load the customized Retail Analytics neural model to run frame inference on this specific camera channel.
Configure Alert Egress Actions
Choose warning targets to dispatch events automatically: Slack channels, EHS log databases, or custom REST webhooks.