How Much Power Do You Really Need For AI?

The Answer Might Surprise You

For many retailers, the idea of implementing AI sounds like it requires supercomputers and huge budgets — but that’s no longer the case. As SAI Group’s visual AI solution uses only one-third of the processing power needed by competitors, it translates into huge savings in capital expenditure and power consumption, and delivers faster RoI for retail chains. 

Modern AI has become smarter, faster, and more efficient, making advanced solutions accessible to businesses of every size. With edge computing and cloud-based AI, you can deploy powerful visual analytics for loss prevention, inventory tracking, and customer insights — without building an in-house data center.
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What Actually Powers Retail AI

To run AI effectively, you need the right balance of resources — not excess hardware.

Here’s what matters most:

  • Computing Power: Real-time video analytics benefit from GPUs, while simpler reporting tools work perfectly on standard servers.
  • Data Infrastructure: Integrate data from POS, inventory, and customer interactions to maximize AI accuracy.
  • Cloud vs. Edge: Use the cloud for scalability and lower upfront costs; rely on edge devices for instant, in-store processing.
  • Scalability Planning: Start small with pilot programs to assess your actual hardware and performance needs before expanding.

Smarter AI, Smaller Footprint

Today’s AI algorithms are more efficient than ever, delivering powerful insights with less computational overhead. Whether you’re analyzing sales patterns overnight or monitoring live store activity, SAI Group helps you design the most cost-effective, high-performance AI environment for your business. Get in touch with Pat to learn more.