Michael Koch is chairman of the QSR AI Research Lab. The mission of the Lab is to develop real-world Artificial Intelligence technology that will significantly accelerate the restaurant Industry. Our research is built on the powerful combination of Machine Learning Algorithms, deep learning, neural networks, large datasets and high-performance computing, all for immediate application.
The QSR AI Lab fuses preeminent researchers and engineers with renown Industry Executives who work hand in hand to apply continuous learning algorithms to solve the real-world problems in Marketing, Supply Chain, Operations, HR, and Equipment to create innovative ways to accelerate AI research focused on the restaurant industry.
Our researchers and engineers utilize artificial intelligence to enhance the QSR customer experience through creating continuously learning algorithms to drive data-driven promotions, offers, and pricing. Each tactic is the result of gathering information about target audiences, demographics, trends, events, and market activity.
Our Lab creates smart tools that will monitor daily historical data to ensure the desired output of the equipment can be met based on specific sales goals. These smart tools will also work to make sure each piece of equipment is serviced and maintained regularly with 24/7.
Our work will increase efficiency across the QSR industry for product, supply, and actual market needs. We will instantly analyze historical data, past events, current events, weather patterns, and other factors that could impact product availability. The optimization of these efficiencies will save our QSR partners millions of dollars per day.
HR / People
Our algorithms and research will ensure QSR will capture the optimum talent in their geographic areas. We factor proper employee ratios while deploying data-driven recruiting to find the best talent in immediate trading areas. We will optimize shifts with up-to-date data to increase employee satisfaction and motivation. We are creating a complete QSR people solution.
Our artificial Intelligence will analyze performance patterns of successful locations by reviewing past scenarios and comparing operational ratios such as seconds to service, drive-through times, customer satisfaction to make sure all efficiencies are optimized. Our goal is to create a full data-driven picture across all the business areas to make sure process, equipment, and teams are scalable to best serve your customers.