Retail Video Analytics | Codelabs
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  • Reviewing a live retail video analytics dashboard
  • Foot traffic and dwell-time analytics view
  • Team reviewing store performance heatmaps
  • Monitoring in-store customer behavior data

Retail Analytics That Turns Foot Traffic Into Decisions

Your cameras already see everything happening on the floor — dwell time, repeat visits, queue buildup, which displays actually get attention. Codelabs' Vision AI turns that existing footage into a live dashboard, so you're reacting to real customer behavior instead of guessing from monthly sales reports.

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    Real-Time Behavior Tracking

    Dwell time, repeat visits and engagement zones tracked live from your existing camera feeds.

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    Connected To Your POS

    Footfall and engagement data linked to sales data, so you can see what's actually driving conversions.

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Why Choose Codelabs For Retail Analytics

Real Work, Real Results

Vision AI
Retail Analytics

Retail & Customer Behavior Analytics

Codelabs built a Vision AI system that captures dwell time, repeat visits and engagement at aisles and counters, classifies customer sentiment, and feeds it all into dashboards connected with POS and marketing systems — giving store managers a live read on what's actually happening on the floor.

Read Full Case Study
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Our Retail Analytics Process

  • Site assessment

    We map your store layout and existing camera coverage to identify what's usable and what needs adjusting.

  • AI model configuration

    Detection and behavior models tuned to your store zones, product categories and traffic patterns.

  • Dashboard integration

    Behavioral data connected to your POS and marketing dashboards so insights sit alongside sales data.

  • Deployment and tuning

    Live rollout with accuracy tuning across your outlets, plus training for the teams using the dashboard.

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What's Included

  • Footfall & Dwell-Time Tracking

    Real-time counts of visitors, unique traffic and time spent in each zone.

  • Customer Sentiment Analysis

    Expression and engagement classification to gauge service quality and campaign response.

  • POS & Marketing Integration

    Behavioral data connected to your existing point-of-sale and marketing dashboards.

  • Queue & Peak-Time Monitoring

    Identify bottlenecks and peak activity zones before they cost you sales.

  • Behavioral Heatmaps

    Visual maps of where customers actually go, linger and disengage.

  • Repeat Visit Detection

    Identify returning customers to measure loyalty and campaign effectiveness.

  • Staff Responsiveness Metrics

    Track how quickly staff engage with customers at key touchpoints.

  • Central Multi-Outlet Dashboard

    Compare performance across locations from a single, unified view.

What Does It Cost?

  • Pilot / Single-Site
    $5,000 $15,000

    A single store or outlet fitted with retail analytics on existing cameras.

  • Multi-Camera / Multi-Site
    $15,000 $50,000

    Multiple outlets with a centralized dashboard for cross-location comparison.

Technologies We Use

  • Cv
    Computer Vision
  • Dl
    Deep Learning Models
  • Ed
    Edge AI Processing
  • Rt
    RTSP / ONVIF Cameras
  • Ap
    POS API Integration
  • Db
    Cloud Analytics Dashboard

Retail Analytics FAQs

Common questions about video-based customer behavior analytics.

  • Does this identify individual customers?

  • Do we need new cameras, or can you use what we have?

    In most cases we work with your existing CCTV infrastructure. We assess camera placement and quality during the site assessment and only recommend upgrades where coverage genuinely requires it.

  • How long does it take to go live?

    A single-site pilot typically moves from assessment to a live dashboard within a few weeks, depending on camera readiness and how much POS integration is involved.

  • Can this integrate with our existing POS system?

    Yes. We connect behavioral data to your point-of-sale and marketing dashboards so footfall and engagement sit alongside your actual sales data, not in a separate tool.

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