N O T I C E
MSPbots WIKI is moving to a new home at support.mspbots.ai
to give you the best experience in browsing our Knowledge Base resources and addressing your concerns. Click here for more info!
Page History
...
This article discusses the following about MSP Finance Team Financial Forecasting:
| Table of Contents |
|---|
Background and Methodology
...
The MSP Finance Financial Forecasting app of MSPbots uses Overall Trends and Seasonality to calculate values for forecasting. The following example of a seasonality graph illustrates the high price seasonality of commodities corn and soy, where abundant supply during the fall harvest period results in lower prices. This period reaches its peak during the summer months.
...
Figures C and D add Seasonal and Random value movements to the trend.
How actual Gross Margin, Revenue, and Expenses are calculated
...
MSPbots uses a Machine Learning model to automatically calculate and detect Overall Trends and Seasonality.
...
Because we apply the Machine Learning model, the forecasted values get better as more data becomes available for calculation and analysis. Ideally, data from one to two years is sufficient to achieve an acceptable level of accuracy and error margin.
What forecasts are available in the MSP Finance Financial Team Forecasting app?
...
Below are examples of forecasts available in the app.
...
Overview
Content Tools