What is Artificial Intelligence (AI)?

Artificial Intelligence, the forecasting methodology at the heart of all Carnus Systems products, is an electronic simulation of the neural processes that form human thought.

The core elements of the Carnus Forecaster are:

A smart forecasting module that learns

An automated forecasting interface

A design specifically suited for the hospitality industry

Our forecasting methodology is designed specifically for hotels, restaurants, & casinos.  By using the most powerful artificial intelligence forecasting engines available, Carnus software takes the following complexities into account: 

Non-linear trends

Complex temporal patterns

Diverse variable interactions

By implementing artificial intelligence technologies, Carnus Systems' software has been shown to outperform:

Capture ratios

MS Excel manipulation

Regression and/or linear modelling

Intuition and guesswork based on experience

The artificial intelligence engine that forms the foundation of Carnus Systems' software is designed to query the highly complex non-linear interactions and trends within your establishment.  By learning the dynamic nature of its surrounding operating environment, the Carnus Forecaster produces results that will exceed that of human intuition and classic forecasting techniques.


Why does Artificial Intelligence work better than capture ratios, human guesswork, regression, moving averages, and other techniques?

Artificial Intelligence has been shown to yield the greatest hospitality forecasting accuracy compared to alternative techniques in current industry-wide use.  Hotels are complex environments that are subject to the interactions of large sums of variables that often demonstrate non-linear patterns. 

Neither capture ratios, human guesswork, nor multiple linear regression can detect the complex non-linear patterns within hotels, thus leading to poor accuracy.  Similarly, moving averages, a time series method, yields poor short-term forecasts since the technique smoothes peaks, thereby leading to over- or underestimates.

Time series methods, which are starting to be implemented at some hotels, demonstrate the poorest accuracy due to their univariate nature.  Univariate techniques only use previous values of the variable a hotelier wishes to forecast to make a prediction, thereby ignoring all other information like OTB, convention information, weather, room availability, etc.  Box-Jenkins, Exponential Smoothing, and Winter's Methods are some common time series techniques.

The non-parametric, non-linear nature of artificial intelligence makes it an ideal choice that yields the highest accuracy in the hotel industry.


What other areas have utilized AI technology?

Artificial intelligence is used in prostate cancer diagnosis, skyscraper elevator systems, NASA gallaxy detection tools, stock market prediction, and a large variety of other sectors.