 SAN
FRANCISCO, June 12 , 2007 � Carnus Systems� artificial intelligence demand
and labor forecasting technologies has emerged as a leading business intelligence
system within the hospitality sector. Carnus Systems is the first and only
company to offer an artificial intelligence technology, patent-pending
solution to overcome the inherent forecasting and staffing challenges within
the industry.
The rapid growth and unparalleled accuracy of the technology has led to the company being featured in three top industry publications in the last several months in addition to being considered for brand-wide implementation by top international hotel chains. Similar to healthcare and other service industries, the hospitality sector incurs nearly 60% of its operating expenses from labor cost and human resources. However, unlike these other sectors, allocation of labor in hotels, restaurants, and casinos is often variable and largely impacted by customer demand- a factor that varies dramatically according to season, weather, nearby events, etc. Appropriate labor allocation necessitates accurate forecasts of demand in conjunction with effective demand to labor standards. Both fronts have posed a largely unaddressed challenge to the sector, leading the industry to experience excessive labor cost and inconsistent service quality as a result of forecasting inaccuracies.
Kirby explains in his article, �One of the most advanced hospitality AI applications comes from Carnus Systems, which is beta testing an implementation of its AI Scheduler at a handful of North American Fairmont and Hyatt properties.� By providing the industry with the smart, patent-pending technology needed to analyze hundreds of potential variables and generate accurate demand forecasts and labor schedules, Carnus Systems is continuing to fuel a historic shift within the industry to give greater value to data.
By combining Carnus System�s entrepreneurial leadership with its effective mathematical approach, business intelligence and accurate labor management is becoming a reality and changing standards within the hospitality sector. |
The
March 2007 issue of the Food Service and Hospitality investigates
and presents solutions to this challenge in its feature article, �Artificial
Flavour Added.� As expressed in the special feature, Carnus Systems�
artificial intelligence technology has effectively addressed the industry-old
forecasting challenge, enabling managers and hospitality owners to effectively
reduce costs and increase efficiency. By using artificial intelligence
technologies similar to that used by U.S. military unmanned aircrafts and
NASA radio telescopes, Carnus Systems software has accurately forecasted
F&B covers, labor for both front and back-end operations, housekeeping
needs, laundry demand, and a large variety of other areas that cover all
aspects of forecasting across hotels, restaurants, country clubs, and casinos,
both small and large.
The
May 2007 issue of Hotels features an article by Adam Kirby entitled,
�Spare the Spreadsheets,� that further examines the challenge of data archiving
and forecasting within the sector. According to Kirby, despite the
hospitality sector having more customer data than most other industries,
it has lagged behind in its implementation of business intelligence technologies
that can be used to analyze and extract valuable information from such
data. The delay of business intelligence adoption in the hospitality
sector is strongly linked to the unproven accuracy and hard-to-understand
interfaces of systems that have been developed for other industries.
However, Carnus Systems, Inc. was founded to address these key challenges
and has a proven track record of accuracy and ease-of-use.
The
Winter 2007 issue of the Cornell Hotel School magazine dives deeper
into the entrepreneurial origins of Carnus Systems, Inc., and its patent
pending technologies. Founded by Cornell alumnus Vicky Lee Bradshaw,
CEO of Carnus Systems, Carnus Systems was brought into existence as the
result of the forecasting and scheduling needs of the hospitality sector
not being adequately addressed. Ms. Bradshaw quickly realized that
a rigorous and robust mathematical approach was needed to accurately forecast
such variables as covers, housekeeping needs, and other demand variables.
Together with Cornell alumnus Timothy D�Auria, Director of Data Analytics
for Carnus Systems, the team moved forward to develop technologies that
could archive data from most all property systems on the market today,
including hand-written records, analyze the records using state-of-the-art
artificial intelligence as used in other mission-critical applications,
and generate daily forecasts of most any variable of interest for upcoming
weeks or months.