In-store footfall tracking

Understand customer behavior in your physical retail spaces with AI-powered footfall tracking. Using your existing CCTV cameras, we provide anonymous analytics on customer count, traffic patterns, dwell times, and peak hours to help you optimize staffing, layout, and marketing.

4.6 /5 - from 12k reviews

4.8 /5 - from 5k reviews

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Why choose us?

Use Existing Cameras

Our solution is designed to work with your existing security cameras, minimizing hardware costs.

Privacy by Design

Our technology anonymizes all data at the source, ensuring no personal information is ever stored.

Highly Accurate

We use advanced computer vision models to provide reliable counts, even in crowded conditions.

Actionable Retail Analytics

We provide dashboards that visualize not just counts, but heatmaps, path analysis, and dwell times.

Weather & Event Correlation

We can correlate footfall data with external factors like weather and local events to uncover deeper insights.

Scalable & Cost-Effective

Our solution can scale from a single store to a national chain at an affordable price point.

How we do?

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Trusted by Global Businesses for Computer Vision Excellence

“Working with Metosys was a transformative experience. They developed an Agile Metrics Platform that seamlessly integrated GitLab, Sonar, and ZohoSprint. The real-time dashboards and KPIs helped our teams visualize the full development lifecycle. Their expertise in FastAPI, Cube.js, and Kubernetes truly set them apart.”— CTO, DevOps SaaS Company

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Josh Tyson

Product Manager | Capsule

“We partnered with Metosys to digitize our logistics documents using AI. Their solution combined AWS Textract, SageMaker, and FastAPI to extract data and verify signatures with deep learning. It saved us hours of manual processing and boosted operational accuracy across the board.”— Operations Manager, National Freight Company

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Josh Tyson

Product Manager | Capsule

“Metosys designed our cloud-based data warehouse using AWS Glue, Redshift, and Lake Formation. From ingesting raw data to visualizing KPIs via Cube.js and Power BI, their team delivered end-to-end with remarkable precision and scalability. They were proactive, technically sharp, and incredibly professional.”— Director of Data Engineering, Retail Chain

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Josh Tyson

Product Manager | Capsule

Accuracy rate

99.95%

in automated image and video analysis

Startup businesses

2,000+

businesses using our computer vision solutions

Happy customer

85%

customer satisfaction with our AI services

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