Quality control and labor are some of the challenges faced by the foodservice industry. More than half of quick-service restaurant managers said staff turnover was an issue for their business, and 20% said it had the biggest negative impact on operations within the past several months. In a February survey, one in 10 managers and employees admitted to ignoring error messages on equipment.

The key ingredient in PreciTaste's solution is artificial intelligence, according to Ingo Stork-Wersborg. PreciTaste monitors food quality in quick-service kitchens and predicts demand and supply to make order prep recommendations to workers.

PreciTaste closed its Series A round today, which marks the end of the startup's bootstrapped period. The CEOs of Burger King and McDonald's, as well as the fund co-founded by Shake Shack CEO Danny Meyer, participated in the funding.

There has been an increase in the need for digital Optimization. The focus of operators on digital solutions to create kitchen efficiency is a major factor in securing funding. PreciTaste is an established platform for precise, demand based cooking. It reduces food waste through its kitchen management system. The technology reduces overhead costs and food waste by instructing crews to only cook what they need.

PreciTaste

The image is called PreciTaste.

PreciTaste was founded over a decade ago with the help of his wife, Laura. PreciBake focused onAutomating baking processes in commercial ovens

The current flagship of PreciTaste is designed to handle a broader range of tasks. The system uses cameras, point-of-sales systems and available inventory to predict demand. The amount of food to cook is decided by using cameras in the kitchen.

The suggestions are relayed to the crews through the touchscreens. If the feature is enabled, they will see an alert if orders are incorrect. The back end of the restaurant can be monitored by managers.

PreciTaste can eliminate 85% of food waste at the point of sale, a claim that is likely to get the attention of restaurant customers. Diners were forced to cut back on their spending in May due to the rising prices of quick service meals. According to a recent survey, more than half of consumers in the U.S. are opting to dine out less frequently.

PreciTaste

The image is called PreciTaste.

The data used to train the systems is the same as the data used to calibrate them. The system performs equally well across different types of food and kitchen setup, as well as what samples were used to train it.

The proprietary data augmentation methods used by PreciTaste add image data from the 19,000 meals prepared every five minutes that we currently track, to offer our clients computer vision that works at scale and in multiple regions. To make its computer vision work at any kitchen, PreciTaste uses its growing food operations simulation data in its machine learning pipeline to increase robustness, which includes data from different levels of Greasiness, aspect ratios, kitchen tools and occlusions.

In most cases, camera data is deleted right away, according to Wersborg. Agotai, a PreciTaste competitor, has been described as a "surveillance outfit" by some publications.

There is an offline-first edge artificial intelligence solution. We have full control over what happens to the customer's data and can accommodate their data protection needs. Some data is uploaded to our server as computational resources are not always available at the edge. The majority of the data is analyzed at the edge and deleted immediately.

PreciTaste is installed at over 1,500 locations, including at a growing roster of U.S. based fast casual restaurants. He wouldn't call them brands. Competition from the likes of Dragontail Systems, Leanpath, Winnow, and the aforementioned Agot could make it difficult for the firm to grow.

The argument was made that technological superiority is PreciTaste's difference maker.

PreciTaste

The image is called PreciTaste.

The system collects data that helps restaurants run more efficiently, but also allows management to verify that operational procedures are followed even if no one is on-site. It gives top level management with previously unavailable numbers to base their decisions on. PreciTaste has an artificial intelligence kitchen management solution.

PreciTaste plans to hire over 25 people by the end of the year.