The solution has also found unique value in its ability to quickly add additional features.
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This shared data allows the head office to check products sold under its brand name, score each store, determine how to allocate training resources effectively, and ultimately reduce the need for auditing. The system sends all logged inputs to Domino’s headquarters. The DOM Pizza Checker is deployed in 850 stores across Australia and New Zealand and now expanding into the U.S. A thumbnail of the picture is then sent to Domino’s tracker, allowing customers to check their pizza, targeting a growing desire for transparency. The manager can then decide either to agree with the computer, in which case the system will automatically re-log the order, or override it, whereby the system will keep a log but move on to the next pizza. If the pizza has an issue, the checker will alert the manager with a visual pop-up and a sound and display the problem detected. If it does, the system matches the pizza to the appropriate order, displaying it on the screen with a corresponding quality score. The camera captures the image of pizzas placed on the cutting bench and analyses the pizza to make sure it meets Domino’s quality standards. It’s main focus is to review the quality of the pizza before delivery, reducing the “my pizza doesn’t look like it should” complaint rate. It scans for pizza type, correct toppings, topping distribution, and aesthetic appeal. The AI-enabled tool sits in the kitchen, checking pizzas when they come out of the oven. The DOM Pizza Checker uses advanced machine learning, artificial intelligence and sensor technology to identify pizza type, even topping distribution and correct toppings.
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