Smart Retail Guide
Edge AI/ML can empower retail decision makers with accurate insights to take meaningful action towards helping their organizations generate revenue quicker and more efficiently.
In this guide, we will highlight six edge ML retail use cases that translate to 6+ figure cost savings, while keeping sensitive data secure, reducing latency, and providing real time insights to fuel faster decision making.
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Discover Best in Class AI & ML Retail Applications
While loss prevention represents one traditional retail use case for AI, there is still untapped opportunity that can fuel sales and help retailers cut costs (particularly as you scale to multiple stores equipped with digital signage) with AI/ML optimized for the smart retail edge. Our guide covers use cases such as:
And more...download the guide to read about all six use cases in detail.
By running applications at the edge rather than in the cloud, SiMa.ai reduces costs significantly and improves performance and data security.
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6 Edge ML Use Cases to Help Retailers Sell More
“For the burgeoning market for video and computer vision edge applications, SiMa.ai is uniquely positioned to overcome one of the biggest hurdles to enabling AI and ML at remote locations.”
- IDC, IDC Innovators: AI/ML at the Edge, Doc #US51793824, January 2024
