The client

Prolife Foods was founded in 1984 and has grown to become a significant supplier of quality food, in both bulk and grocery formats, to retailers across Australia & New Zealand.

Optimization through analytics

Increasingly competitive conditions are driving a focus on optimisation and efficiency. Businesses need insights about customer preferences and behaviour, shopping trends, future predictions. Capturing data is simple, but it must be processed and analysed to suit the business needs.

The solution

An AI enabled, computer vision bulk product scale and labelling system that can recognise products, learn behaviours and apply business rules at the edge and in the cloud

The process involves machine learning and computer vision technology to:

1. Detect a specific product when it is placed on the scale.
2. The printer then automatically prints a check-out tag that matches the product and weight, preventing loss for retailers in scenarios where customers mislabel higher priced products with lower-priced check-out tag.
3. The solution builds an inference network at the edge, thus is able to run offline and become smarter as it is continuously in use.