Most companies have the knowledge and tools to forecast their operating expenses. However, too often, property owners are surprised when it comes to their energy bills and maintenance expenses. This prevents accurate cashflow forecasts, bringing instability to property business owners.

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Businesses try to use everything from simple spreadsheets to complex financial planning software to generate forecasts, yet still fail to achieve accuracy for several reasons:

• Traditional forecasts struggle to incorporate large volumes of historical data.

• Traditional forecasts rarely incorporate related but independent data, which can offer important context (such as predictive maintenance, holidays/events, weather, etc.).

• The huge amount of data being collected from different energy sources is being manually interpreted by analysts.

• Companies are expending large amounts just to have their data analyzed, but still fail to achieve accurate energy forecasts. 10-30% of their energy consumption is solely due to inefficient management and misleading predictions.