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Product Info

Forecasting software

Three modes of Alyuda Forecaster

Alyuda Forecaster XL is a forecasting Excel add-in, based on neural networks. It is the obvious choice for users, who need a reliable and easy-to-learn forecasting neural network tool embedded into the familiar MS Excel framework.

Offering three different interface modes, Forecaster provides maximum comfort for users with different levels of knowledge in neural networks.

Basic Mode: those users who receive the forecasting results values the quickest way possible will enjoy the Basic Mode. This mode has the minimum number of steps, does not display any intermediate results and requires minimum actions from the user.

Standard Mode: those users who are just beginning to use the power of neural networks in their forecasting will feel more comfortable when starting with the Standard Mode. This mode provides non-technical explanations and settings and requires no prior knowledge of neural networks.

Expert Mode: Seasoned neural network experts can use this mode to fully exploit all the power of neural networks and genetic algorithms. This mode provides fully customizable data analysis, preprocessing, network design, architecture search, training algorithm and parameter selection, as well as visual control over network errors during network training.

Easy start with neural networks

Forecaster XL is designed specifically to save you time and money. It is reliable due to the implementation of the cutting-edge advances in Artificial Intelligence and ANN combined with proven neural network forecasting techniques. This forecasting neural network add-in is extremely easy to use for non-technical people. You only need to show your data and click just one button to prepare a forecasting neural network in Excel tailored to solve your specific problem.

Comfort and Benefits

Alyuda Forecaster is specifically designed to solve major problems encountered while using a neural network for forecasting purposes. In addition to the feature benefits you will:
  1. save your time - no need to spend your time on learning the neural network theory;
  2. automatically prepare your data - your data will be analyzed and converted to make it suitable for a neural network;
  3. automatically accomplish the best neural network.