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Solutions overview
Explore how retailers are using computer vision
Use case overview
The most common use cases for retail computer vision
Self-checkout
Reduce shrink while improving the customer experience
Staffed checkout
Improve accuracy and speed in staffed lanes
In-store analytics
Gain operational insights throughout your store
Shelf-monitoring
Increase sales by tracking on-shelf availability
Planogram verification
Achieve compliance with validated product placement
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The UltronAI Platform
Our purpose-built retail computer vision engine
Benefits
UltronAI delivers that others can't—take a look at what we mean
AI models
Our retail models offer flexibility for any solutions
Features
What you can expect from the UltronAI platform
Why UltronAI
How we rise above other solutions
Differentiators
What sets UltronAI apart
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Company
Company overview
Leadership
Prof. Marios Savvides
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Where We Help
Solutions overview
Use case overview
Self-checkout
Staffed checkout
In-store analytics
Shelf-monitoring
Planogram verification
Back
Product
The UltronAI Platform
Benefits
AI models
Features
Why UltronAI
Differentiators
Back
Company
Company overview
Leadership
Prof. Marios Savvides
Resource Center
Take a look at the latest articles, news, and white papers from UltronAI
Blog Posts
UltronAI Accepted into NVIDIA Inception Program to Scale AI-Powered Computer Vision Engines for Retail
Blog Posts
Retail Computer Vision: Unpacking the Operational Cycle and Associated Costs
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Blog Posts
9 technical challenges of implementing AI computer vision in retail
Blog Posts
Retail shrink, self-checkout, and the role of AI computer vision
Blog Posts
UltronAI unlocks retail innovation with the launch of AI-based product identification platform
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