Edgify in Retail

Benefits for Supermarkets

How does Edgify work?

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Edgify in Retail

Edgify is a deep tech company that developed the world's first models of training artificial intelligence (AI) of computer vision, directly on simple edge devices such as SCOs, PC scales and lane POS machines. The framework that Edgify has created utilizes two unique patented algorithms called The Edgify Edge Training Loop & The Edgify Collaborative Controller. When they work in tandem with each other, they keep the edge devices always learning and improving locally. The knowledge gained is then shared with the rest of the checkouts in the store, and with the checkouts across the entire chain.

Find out more about Edgify’s technology

Item Recognition

The ability to train complex A.I models of computer vision directly on edge devices such as SCOs, brings benefits to retailers that will drastically impact their way of business such as recognising loose/non-barcoded items with a 99.98% accuracy average.

Loss Prevention

Experiencing loss at the Point-of-sale is extremely common for most grocery retailers, to the point that it is seen as “a way of doing business” – Well, we are here to make a change!

Being able to confidently identify any product at the Point-of-Sale at near-100% accuracy allows our solution to be quite versatile. Our high accuracy bespoke solution allows us to offer your business different loss prevention tiers when it comes to security at the checkout, such as False Selection, Fraud Detection and soon to come, Theft Prevention.

Benefits for Supermarkets

The benefits reaped by retailers who integrate edge-training-high-accuracy AI framework are game changing to say the least. Training complex A.I models of computer vision on the edge provides retailers with benefits such as:

  • Reducing loss and shrinkage by up to 90%,
  • A dramatic Increase in checkout speed by up to 75%,
  • A reduction in overall plastic used in stores by up to 50% and more!

View our full benefits presentation here:

How does Edgify work?

Step 1

John chooses a banana from a list, which uses the camera image to train itself to recognise bananas

Step 2

The self-checkout unit shares its learnings with all other checkout units and scales in-store. And

Step 3

After a month, all devices
in-store can identify all produce with near-100% accuracy

Step 4

This store then shares its ‘knowledge’ with all other stores. And vice-versa

Find out how Edgify works in more detail here:

Request a demo today!

If you have any questions regarding our framework or you’re just curious to find out what Edgify can do for your business? Why not request a free live demo with our team today!

demo illustration