![]() ![]() In addition to sales forecasting, NeuroXL Predictor is ideal for many other business activities, including: NeuroXL Predictor analyzes historical data to learn the interrelation between these factors, and makes predictions of sales levels for various combinations. Price, seasonality, advertising, and competitor behavior are all factors that influence sales. ![]() ![]() However, sales forecasting is extremely difficult, since a large number of factors influence sales that are often interrelated. It can also identify new opportunities for increased sales. Sales Forecasting:Sales forecasting lets businesses make better purchasing decisions and manage inventory more efficiently. In addition to stock market prediction, NeuroXL Predictor is also ideally suited to making predictions in other financial areas, such as: NeuroXL Predictor, drawing on the latest in artificial intelligence research, recognizes even subtle relationships between variables. Traditional forecasting methods, such as regression and data reduction models, are limited in their effectiveness as they make assumptions about the distribution of the underlying data, and often fail to recognize the interrelatedness of variables. The price of stocks and other investment vehicles such as bonds, derivatives and options are also influenced by many different factors that are often interrelated. Prime applications for NeuroXL Predictor includeįorecasting Stocks and other Investments: The ability of NeuroXL Predictor to discover non-linear relationships in input data makes it ideally suited for forecasting dynamic systems like the stock market. >Lowest cost neural network product on the market >Provides proven neural network technology for highly accurate forecasts >Integrates seamlessly with Microsoft Excel >No prior knowledge of neural networks required In summary, these are the key advantages of NeuroXL Predictor: Also, using NeuroXL Predictor requires no prior knowledge of neural networks. The application is extremely intuitive and easy-to-use for beginners yet powerful enough for the most demanding professionals. EXCEL LOTTERY PREDICTION FREE APPLICATION SOFTWARESince users make predictions through the familiar Excel interface, learning time is minimal, greatly reducing the interval between loading the software and performing useful predictions. NeuroXL Predictor removes the psychological and practical barriers by hiding the complexity of its advanced neural network-based methods while taking advantage of analysts' existing knowledge of Microsoft Excel spreadsheets. One of the main reasons analysts have been slow to use advanced methods such as neural networks to improve forecasts is that such methods can be difficult to master. Loosely modeled after the human brain, neural networks are interconnected networks of independent processors that by changing their connections (known as training) learn the solution to a problem. Neural networks are a proven, widely used technology for such complex prediction problems. ![]() Microsoft Excel provides a built-in tool for predictions, but the accuracy of its results is significantly reduced when non-linear relationships or missing data are present, which is often the case when analyzing historical business, investment, or sports data. Inaccurate predictions of sporting outcomes can result in poor wagering and resulting losses. In the financial industry, inaccurate forecasts for stocks and other investments can result in poor trades and lost opportunities for gain. Lost sales, inefficient allocation of resources, and bloated inventories are often a direct result of forecasts that failed to predict future conditions. Inaccurate or misleading estimates can result in aggravation or total company chaos. The Value of Neural Network Forecasting and EstimationĮstimating and forecasting future conditions govern many critical business activities, such as inventory control, procurement of supplies, labor cost estimation, and prediction of product demand. ![]()
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