Computer Vision & AI-Powered

Analytics for Physical Stores

Transform in-store footage into actionable insights. Track unique customers, product engagement, wait times, and engagement duration—all powered by computer vision and machine learning.

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Data Analytics & Computer Vision

Everything you need to understand and optimize your brick-and-mortar store

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Unique Customer Tracking

Identify and count unique visitors over time with person detection and re-identification across video streams.

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Product Engagement

See which products get the most attention. View counts, dwell time, and engagement metrics per SKU.

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Wait Time Analytics

Average checkout line wait times. Optimize staffing and queue placement with real data.

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Video Action Recognition

AI-powered classification of customer actions—take, put, touch—from retail video footage.

Live Dashboard Preview

Unique customers (7-day trend)

Unique Customers
Total Visits
Avg. Duration
Checkout Wait

Connect cameras or import RetailAction data to see real metrics

Built for retail and data teams

Django PostgreSQL PyTorchVideo Computer Vision Celery RetailAction