SAN FRANCISCO, January 9, 2007 �Carnus Systems has introduced the AI Scheduler� , the first technology to utilize advanced, state-of-the-art artificial intelligence computing to:
AI Schedule Interface I The AI scheduler� was developed to aid hotel operations by providing high forecasting accuracies between 80% - 90%, and automating labor scheduling. Together, these capabilities impact F&B operations by lowering labor costs and increasing profitability. Similar to a human brain, artificial intelligence continually learns from its environment and is capable of performing a variety of very complex forecasting and scheduling tasks within a few seconds thus alleviating hotel management from manually forecasting and scheduling multiple outlets which can take up to 12 hours per week of valuable management time. Unlike managerial guesswork and capture ratios that often yield poor results and excessive labor costs the artificial intelligence technology at the heart of the AI Scheduler� is truly a novel and innovative approach to forecasting and scheduling. Features of the AI Scheduler� include:
AI Scheduler Interface II According to Fred Hoffman, F&B Director of the 966-room Hyatt Regency in Jacksonville, FL, �Such technology would take human error out of scheduling, [a factor] that causes 90% of the problems we see. Each week when schedules are posted, conflicts occur due to employees mistakenly not receiving days off that they were entitled to, seniority issues, special requests, etc. This technology would prevent these conflicts from occurring." . 
AI Scheduler� Hourly Forecast Feature Virtual product showcase on AI Scheduler� is available 4 PM EST on Tuesday, January 16th, 2007 at https://mwmus.webex.com/mwmus/jm.php?PWD=&MK=941127303. Please contact [email protected] to register. Note: Artificial intelligence (AI) is a branch of computer science and engineering that deals with intelligent behavior, learning, and adaptation in machines. Research in AI is concerned with producing machines to automate tasks requiring intelligent behavior. Examples include control, planning and scheduling, the ability to answer diagnostic and consumer questions, handwriting, speech, and facial recognition. As such, it has become an engineering discipline, focused on providing solutions to real life problems, software applications, traditional strategy games like computer chess and other video games. |
