FusionOps Unveils Predictive Analytics for Supply Chain

In the process, the company has extended its platform to include pre-defined predictive models based on advanced statistical models and machine-learning techniques. The new capabilities will be applied to key aspects of the supply chain, aiding in such initiatives as mitigating supply-chain risk, reducing inventory from returns, predicting maintenance requirements and improving demand forecasting. Thousands of SKU predictions can be made in a few hours, FusionOps claimed. It is offering 10 statistical models, with more in development, which are automatically selected and applied on a per-SKU basis. The tool provides the ability to aggregate and view demand across multiple dimensions, such as product line, region and time interval. A LiveAnalytics infographics format allows users to understand revenue impact by quarter or by region.

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