Time series forecasting is a method for predicting future values based on previously observed values. It is commonly used in areas such as economics, meteorology, and engineering. Key features of Zeaware Forecasting include:
Forecasts may be improved by augmenting the core timeseries
data set with additional data sets.
Zeaware Forecasting makes it easy to upload and leverage data sets
allowing more advanced forecast models to be built which don’t only depend on
past values.
Zeaware Forecasting uses modern data science techniques and
methods including advanced ML driven forecasting methods. However Zeaware Forecasting is designed to be
used by non data scientists, automating the complexities of the forecasting
process through a simple to use web interface.
Demand planners can make adjustments as required, capturing
variance and supporting reasoning. Over time
the accuracy of manual adjustments can be reviewed to ensure correct
assumptions are being made.
By running multiple tests and optimisations on your forecast
data, Zeaware Forecasting will help to tune your forecasts to produce optimal
forecast outcomes. Works with large
numbers of forecast items with automatic tuning for each item.
Forecasts may be improved by augmenting the core timeseries
data set with additional data sets.
Zeaware Forecasting makes it easy to upload and leverage data sets
allowing more advanced forecast models to be built which don’t only depend on
past values.
Zeaware Forecasting uses modern data science techniques and
methods including advanced ML driven forecasting methods. However Zeaware Forecasting is designed to be
used by non data scientists, automating the complexities of the forecasting
process through a simple to use web interface.
Demand planners can make adjustments as required, capturing
variance and supporting reasoning. Over time
the accuracy of manual adjustments can be reviewed to ensure correct
assumptions are being made.
By running multiple tests and optimisations on your forecast
data, Zeaware Forecasting will help to tune your forecasts to produce optimal
forecast outcomes. Works with large
numbers of forecast items with automatic tuning for each item.
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