Demand Forecasting / Demand Forecasting Engine Foresight-1

basic information

- Any data can be targeted. The data selection period is flexible, and it can include zero negative data. - Factor settings are flexible. You can freely change factor settings such as weather according to the industry. - No forecasting specialists are necessary. This product optimally determines the forecasting methods and applicable models. - Forecasting is possible across all time series. Forecasts can be made on a daily, weekly, monthly, semi-annual, quarterly, or annual basis. - Explanation with various factors. Various factor analysis methods and forecasting processes allow for explanations using multiple factors. - Easy-to-understand forecasts. The impact of factors on the forecast target is understood in terms of indices (percentages). <Functions> (1) First, input the target analysis data and the variable factor data. (2) From each input data, 1. decompose into the overall flow (trend and cycle) and 2. each variable factor index to calculate each forecast value. (3) Integrate each forecast result value to calculate the forecast value up to the period of the target analysis data.

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Applications/Examples of results

There are no constraints on the input data. Additionally, the factors that determine the prediction results (such as season, temperature, weather, etc.) can be expressed in terms of their influence using an index.