The solution enables users to build demand forecasting models using historical demand data and various other parameter combinations.

Identify patterns (recurring, anomalies, seasonal, trending) in your data using the real-time pattern detection engine. It helps to proactively monitor your orders, analytics infrastructure or any other operations

Predictive maintenance techniques are designed to help determine the condition of in-service equipment in order to estimate when maintenance should be performed. This approach promises cost savings over routine or time-based preventive maintenance, because tasks are performed only when warranted.