High Performance, Scalable Edge ML for Smart Retail
Boost revenue, reduce cloud costs, improve in-store customer experience with SiMa.ai. Get StartedSmart 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 SayAdvantages of Cloud to Edge Migration
Cost
90% Savings in Year One
Scale from 1 to 10 showrooms and save $300k-$3M over 5 years.
Accuracy
Increased Accuracy 20+%
Accuracy of >90% with SiMa.ai edge ML solution compared to existing solution (~68%), a leading cloud provider.
Why SiMa for Retail Edge ML
Effortless Deployment
Software-First Approach
Derive Same Day Real-Time Analytics
Thermal Efficiency
Privacy and Security
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