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.

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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.

Smart Shelf Monitoring

Cameras and sensors on shelves use AI to detect product availability, shelf gaps, and misplaced items in real time — reducing out-of-stock situations and enhancing planogram compliance.

Behavioral Analytics

Physical AI cameras track foot traffic, dwell time, and customer interactions with products — improving store layout, product placement, and enabling personalized in-store marketing.

Checkout Optimization

Devices monitor checkout lanes and customer movement to predict and reduce wait times — reducing queue abandonment, improving staff allocation, and enhancing customer satisfaction.

Loss Prevention

AI-powered surveillance detects suspicious behavior — shelf sweeping, loitering, or concealed item handling — enabling proactive interventions and reducing shrinkage in real time.

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.

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