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IoT SolutionsRetail

Smart Retail Analytics Platform

Computer vision-powered retail analytics with foot traffic, heatmaps, and customer behavior insights.

Duration

9 months

Team Size

6 developers

Industry

Retail

Category

IoT Solutions

Smart Retail Analytics Platform

An AI-powered retail intelligence platform that uses computer vision to understand customer behavior, optimize layouts, and improve store operations.

The Challenge

A retail chain had visibility gaps in their stores:

  • Unknown traffic - No accurate foot traffic data
  • Layout guesswork - No data on customer flow
  • Staffing mismatches - Wrong staff at wrong times
  • Missed opportunities - Can't measure marketing impact

They needed in-store analytics like they had online.

Our Approach

We built a privacy-preserving computer vision platform that provides web-like analytics for physical stores.

Privacy-First Design

  1. No Facial Recognition - Only anonymous silhouettes
  2. Edge Processing - Video never leaves store
  3. Aggregated Data - Individual tracking impossible
  4. GDPR Compliant - Built for strictest regulations

The Solution

Traffic Analytics

  • Entrance/exit counting
  • Hourly and daily patterns
  • Year-over-year comparison
  • External factor correlation

Customer Journey

  • Store heatmaps
  • Dwell time by zone
  • Path analysis
  • Display engagement

Queue Management

  • Real-time queue length
  • Wait time estimation
  • Staff alerts
  • Checkout optimization

Occupancy Monitoring

  • Real-time occupancy counts
  • Capacity management
  • Compliance reporting
  • Multi-zone tracking

Technology Stack

LayerTechnologies
Edge AINVIDIA Jetson, TensorFlow
Computer VisionOpenCV, YOLO, DeepSORT
BackendPython, FastAPI
DatabasePostgreSQL, TimescaleDB
FrontendReact, D3.js
CloudAWS (ECS, S3)

Results & Impact

The platform delivered measurable ROI:

  • 500+ stores deployed globally
  • 15% higher conversion with optimized layouts
  • 20% better staffing efficiency
  • 100% occupancy compliance during COVID

Analytics Features

Marketing Measurement

  • Campaign lift analysis
  • Window display effectiveness
  • Promotional zone performance
  • Before/after comparisons

Operational Insights

  • Staff scheduling optimization
  • Peak hour identification
  • Cross-store benchmarking
  • Exception alerting

Client Testimonial

"We finally have the same level of analytics in-store that we had online. The heatmaps alone justified the investment by showing us our layout was costing us sales."

— VP of Store Operations, Retail Chain


Building retail tech? Contact us to discuss smart store solutions.

Key Results

1

500+ stores deployed

2

15% increase in conversion rate

3

20% improvement in staffing efficiency

4

Real-time occupancy compliance

Technology Stack

Computer VisionPythonTensorFlowEdge AIReactPostgreSQL

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