Selling non-barcoded products — fruit, vegetables and baked goods — through self-checkout has long been a challenge for retailers. Selecting a single item from the on-screen list takes from 6 to more than 30 seconds, depending on the product. This slows down checkout and leads to avoidable losses from incorrect selections.

To solve this, Retellect partnered with StrongPoint, a leading retail technology company and self-checkout vendor. All four self-checkout terminals in the selected Norfa store were equipped with cameras and connected to the Retellect AI service through StrongPoint's integration.

The system has been running quietly since September 2020, learning from real shopper behaviour before the public announcement.

Results

After more than six months in a live store environment, the deployment shows measurable improvements for both customers and store operations.

~2 s
Average selection time per non-barcoded item.
6+ mo
Live in production before the official announcement.

Selection time dropped from 6–30 seconds to about two seconds per item. The system has proven reliable in a store handling a wide range of fresh products — the environment where conventional picklists are slowest.

AI identifying a tomato among other produce at a self-checkout.
Product recognition at the lane — the AI locates the product and identifies it in less than a second.

Seeing the benefits delivered through the Retellect and StrongPoint partnership, Norfa is now expanding the deployment to additional stores.

This is the first production deployment of Retellect's checkout vision platform.