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

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.

Supply Chain Monitor solution use Machine leaning and analytics to monitor and predict the effect of external disruptive events around the globe - like weather, political unrest, pandemics, transportation failures etc. on the end to end supply chain or manufacturers, distributors or retailers. It can forecast the delays in receipt of goods, the impact it can have on fulfilling your customer order and suggest remedial or other proactive actions.