SiMa.ai in Retail

Smarter Stores.
Better Experiences.

SiMa.ai brings Physical AI to retail — boosting revenue, reducing cloud costs, and improving in-store customer experience with real-time edge inference for shelf monitoring, behavioral analytics, loss prevention, and checkout optimization.

Get Started Today

Customer and Partner Stories

Why Customers Choose SiMa.ai for Retail

Purpose-built silicon and software for in-store Physical AI — from smart shelves to checkout lanes and loss prevention.

Best-in-Class Performance

Significantly improved accuracy and throughput lowers the cost of inference for scalability, under 10 watts.

Edge-First Data Privacy

All video and sensor processing happens on-device — sensitive customer data never leaves the store, meeting privacy requirements while delivering distributed high-performance analytics at low TCO.

System Flexibility

Palette software suite enables maximum versatility in porting or building full end-to-end applications covering zone analytics, detection and tracking, inventory management and more.

Multimodal Capabilities

Scale AI video analytics from 16 to 80 cameras on a single IPC; Conversational AI for full customer and inventory management. Acoustic sensors to complete video capabilities.

Applications

Smart Shelf Monitoring

Smart Shelf Monitoring

Smart Shelf Monitoring

We Enable

  • Real-time detection of out-of-stock and misplaced products
  • Planogram compliance monitoring across all aisles
  • Automated shelf-replenishment alerts without manual audits

Why SiMa.ai

Always-on edge inference at line speed — no cloud latency, no bandwidth costs, privacy-safe

Behavioral Analytics

Behavioral Analytics

Behavioral Analytics

We Enable

  • Foot traffic mapping and dwell-time analysis per zone
  • Customer journey tracking across the store floor
  • Personalized in-store marketing based on interaction patterns

Why SiMa.ai

Video analytics processed fully on-device — no customer data leaves the premises

Checkout Optimization

Checkout Optimization

Checkout Optimization

We Enable

  • Real-time queue length and wait-time prediction
  • Dynamic staff allocation to open or close checkout lanes
  • Reduced queue abandonment and improved throughput

Why SiMa.ai

Low-latency edge inference enables real-time staffing decisions without cloud round-trips

Loss Prevention

Loss Prevention

Loss Prevention

We Enable

  • Detection of shelf sweeping, loitering, and concealment
  • Proactive security interventions before loss occurs
  • 24×7 automated monitoring with minimal cloud dependence

Why SiMa.ai

On-device processing enables real-time alerts — critical for prevention rather than post-incident review

Foot Traffic and Density Mapping

Foot Traffic and Density Mapping

Foot Traffic and Density Mapping

We Enable

  • Unique footfall tracking across multiple camera feeds
  • Density heat maps for store zone optimization
  • Congestion detection and throughput improvement

Why SiMa.ai

Multi-stream video analytics on a single chip — cost-effective scaling across large store footprints

Use Cases and Demos

Real-world retail AI capabilities powered by on-device inference.

Zone Analytics

Zone Analytics

How It Works

SiMa.ai processes multiple camera streams simultaneously to generate real-time density heat maps, unique footfall counts, and zone-level traffic patterns across the entire store floor — all processed on-device for privacy.

Key Benefits

  • Density heat maps for optimizing product placement and store layout
  • Unique person tracking across multiple overlapping camera zones
  • Privacy-safe analytics — all video processed at the edge

Use Cases and Demos

  • Density Heat Map
  • Foot Traffic Mapping
  • Unique Person Tracking