Profile Analysis is an AI-powered Unisoft module that processes footage from in-store cameras locally on an edge device to anonymously estimate visitors’ age groups and gender. It does not identify individuals, perform facial recognition, or send raw video footage to the cloud. It generates aggregated statistics only.

This data is transmitted to Unisoft CMS in real time, enabling screen content to change automatically according to the dominant visitor profile currently detected in the store. The goal is to show the right content to the right audience at the right time, reducing wasted campaign impressions and increasing conversion potential.

• Anonymous Profile Detection — The system measures aggregated age and gender distribution rather than identifying individuals, and does not collect identity information.
• Edge Computing Architecture — Image processing is performed locally at the camera or edge-device level, and raw footage is never sent to the cloud.
• Real-Time Content Triggering — Profile data activates CMS rules within milliseconds.
• Four-Dimensional Data Model — Gender, age group, time-based changes, and branch-to-branch comparisons are reported separately.
• Rule Engine Automation — Operates automatically using logic such as “If profile X is detected → display content Y,” without human intervention.
• KVKK / GDPR-Compliant Architecture — The system is designed from the ground up with privacy in mind, rather than relying on an additional compliance layer added afterward.
• Time-Sensitive Scenarios — Content can automatically change according to different visitor profiles during periods such as mornings, afternoons, weekdays, or weekends.
• Centralized Multi-Branch Management — Profile differences across locations can be monitored from a single dashboard and transformed into actionable strategy.
• REST API Support — Integration with third-party CRM and BI tools is supported.
• No Separate Installation Required — Works directly with the Unisoft CMS infrastructure without requiring an additional standalone system.