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Unlock deep customer behavior insights from your existing camera infrastructure. Visylix provides retail operators with heat maps, true footfall counts, journey analytics, and loss prevention tools that drive measurable improvements in conversion, revenue, and shrinkage reduction.
Four AI models purpose-built to extract actionable retail insights from video, covering everything from foot traffic to loss prevention.
Visualize foot traffic patterns and dwell-time hotspots across store floors. Identify high-engagement zones, dead spots, and optimal product placement locations.
De-duplicated visitor counting with tracking technology. Measure true footfall without repeat inflation for accurate conversion-rate calculation and marketing attribution.
Real-time occupancy monitoring for individual zones, entrances, and checkout areas. Trigger staffing adjustments and queue management actions based on crowd density.
Cross-camera customer journey mapping from entrance to exit. Understand browsing patterns, department transitions, and conversion funnel drop-off points.
Real-world applications that help retail operators increase revenue, improve customer experiences, and reduce losses.
Use heat maps and customer journey data to make evidence-based decisions about product placement, aisle configuration, promotional display positioning, and wayfinding signage. Compare layout performance across time periods and store locations to identify best practices and scale winning configurations.
Transform camera feeds into a continuous stream of retail intelligence. Measure true footfall, calculate conversion rates, analyze peak hours, and segment visitor behavior patterns to optimize staffing, marketing, and merchandising strategies across your entire retail portfolio.
Reduce shrinkage with AI-powered surveillance that detects suspicious behaviors, monitors high-value zones, and provides security teams with real-time alerts. Cross-camera person tracking enables rapid identification and forensic investigation of theft incidents.
Quantifiable improvements that Visylix-powered retail analytics deliver across conversion, accuracy, loss prevention, and operational efficiency.
Data-driven layout changes and staffing optimization directly improve customer conversion from visitor to buyer.
Re-ID-based unique person counting delivers near-perfect accuracy for true footfall measurement and reporting.
AI-powered loss prevention and suspicious behavior detection significantly reduce inventory shrinkage.
Real-time occupancy and queue data enable managers to adjust staffing levels three times faster than manual observation.
See how Visylix can help you understand customer behavior, optimize store performance, and reduce losses across your entire retail portfolio.
Visylix tracks customer journeys through heat maps, dwell-time analysis, and footfall counting to identify high-traffic zones and dead spots. This enables data-driven store layout optimization, staff allocation, and promotional placement that directly improve conversion rates.
Yes. Visylix detects behaviours such as concealment, shelf sweeping, loitering in high-value aisles and unauthorised access to stockrooms, and alerts loss prevention teams in real time. Impact on shrinkage depends on your stores and response process, so it is measured during the proof of concept rather than promised up front.
No. Every paid plan includes unlimited streams, so a chain adding stores or cameras does not pay more in licence fees. Per-camera licensing is the norm in retail VMS and the usual reason multi-site rollouts stall on cost.
Yes, through multi-cluster federation. Each store records locally while a central team searches across sites, with role-based access deciding who sees which store and retention set per site.
Two mechanisms genuinely adapt: a per-camera anomaly model that learns each view's normal pattern and refreshes weekly, and tamper detection that builds its own baseline. Alerts carry a dispatch score and noisy rules can be retuned in one click. Visylix does not publish a false-positive reduction percentage, because that depends on your scenes.
In most cases. ONVIF discovery and direct RTSP make it camera-agnostic, and NVR forensic access across 15+ brands keeps historical footage reachable during a migration.