Industries - Retail

Retailers invest heavily in camera infrastructure primarily for loss prevention, yet those same feeds contain rich behavioral data that most organizations never extract. Customer flow patterns, dwell times, queue lengths, and shelf interaction rates remain invisible without dedicated analytics. ConductVision's technology can transform security camera networks into business intelligence platforms, providing store operations teams with the same depth of behavioral data that e-commerce teams take for granted. The result can be evidence-based merchandising, staffing optimization, and a measurable reduction in shrinkage.

The challenge

Brick-and-mortar retailers operate with far less behavioral data than their e-commerce counterparts. In-store conversion paths, dwell-to-purchase correlations, and real-time queue pressure remain opaque. Loss prevention teams review footage reactively, and staffing models rely on transaction data that lags actual foot traffic by hours.

Our solution

ConductVision can process existing security feeds to generate real-time foot traffic counts, customer journey heatmaps, queue length alerts, and shelf interaction analytics. Loss prevention models can detect concealment behaviors and policy violations, while staffing dashboards can correlate traffic patterns with register throughput.

Capabilities - AI detection for retail

Purpose-built detection models that address the specific challenges of retail.

People Detection. Real-time occupancy intelligence from any camera feed — available for deployment at any scale.
Behavioral Analytics. Loitering, aggression, crowd surges, and abandoned objects — anomaly detection grounded in behavioral science — available for deployment.

Use cases

How organizations in retail are using ConductVision.

Foot Traffic and Conversion Analytics

Entry/exit cameras can count visitors by hour and zone, correlating traffic with POS transactions to calculate true conversion rates. Traffic pattern shifts after merchandising changes or promotional events can be quantified automatically.

Customer Journey Heatmaps

Overhead cameras can generate dwell-time heatmaps showing which aisles, endcaps, and displays attract the most engagement. Merchandising teams can use this data to optimize product placement and evaluate promotional effectiveness.

Queue Detection and Staffing Alerts

Checkout queue lengths and wait times can be monitored in real time. When thresholds are exceeded, alerts can prompt managers to open additional registers or redirect staff, reducing abandonment from long waits.

Loss Prevention

Behavioral models can identify concealment gestures, bag-stuffing patterns, and ticket-switching activities. Alerts can be routed to LP teams with annotated video clips, enabling intervention before subjects leave the premises.

Shelf Monitoring and Planogram Compliance

Aisle cameras can detect out-of-stock conditions, misplaced products, and planogram deviations. Restocking alerts can be sent to floor staff in real time, reducing lost sales from empty shelves during peak hours.

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Integration ecosystem

ConductVision integrates with the tools and systems already used in retail.

Point-of-Sale (POS) Systems
Workforce Management Platforms
Loss Prevention Software
Digital Signage Networks
Inventory Management Systems

Related industries

All capabilities

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