High Performance, Scalable Edge ML for Smart Retail

Boost revenue, reduce cloud costs, improve in-store customer experience with SiMa.ai. Get Started

Smart Retail Applications

Unique Footfall Greeting & Walk-In Pattern Support Product Demo Insights Zone Analytics Support Inventory Management Retail Counter Analytics

Unique Footfall

Count the number of unique store-visitors by time-of-day and day-of-week to gain valuable insights on effectiveness of window displays, promotions and prime sales windows.

Testimonials

What Customers & Partners Say
"SiMa.ai is the clear leader in bringing computer vision intelligence to any device in the edge market through its remarkable fusion of hardware and software innovation."

Maulik Upala

Director of AI Practice at Lanner Electronics

Advantages of Cloud to Edge Migration

Cost

90% Savings in Year One

Scale from 1 to 10 showrooms and save $300k-$3M over 5 years.

See our best-in-class MLPerf Benchmarks
Competitors See our best-in-class MLPerf Benchmarks
Accuracy

Increased Accuracy 20+%

Accuracy of >90% with SiMa.ai edge ML solution compared to existing solution (~68%), a leading cloud provider.

Why SiMa.ai for Retail Edge ML

Effortless Deployment

Inference and data analytics done on one MLSoC.

Choose from Ethernet and a variety of other interfaces for easy deployment.

Deploy as a standalone SoC or an offload accelerator.

Software-First Approach

Push-button ML capability enables rapid design iterations that result in faster deployment time.

Comprehensive software stack and tool chain accommodates the widest support for different models and innovations while optimizing application performance and power - effortlessly.

Deployment tools to integrate your edge solution for secure communications and over the air (OTA) updates.

Derive Same Day Real-Time Analytics

Heterogeneous compute platform for blazing-fast processing.

Hardware-accelerated computer vision.

On-chip memory to enable superior throughput.

Thermal Efficiency

Thermal envelope optimized for embedded device form factors.

Power-efficient design keeps your devices cool.

Privacy and Security

Authentication and encryption capabilities enable you to protect your sensitive data and IP.

Integrated secure boot, Arm TrustZone, secure communication, and data security.

Featured Resources

6 Edge ML Use Cases to Help Retailers Sell More

SiMa.ai, Lanner, and AWL Collaborate to Accelerate Smart Retail at the Edge

SiMa.ai Models for Smart Retail

Applications

  • Vehicle/People Counting
  • Service Upsell
  • Inventory Analysis
  • In-Store Traffic Routing
  • Security Monitoring

Use Cases

  • Object Detection
  • Object Tracking

Models

  • YoloV8
  • ReID
View all our models on GitHub