Using data analytics to improve supply chain efficiencies and demand planning is becoming increasingly important in a global market place. By streamlining the supply chain and enabling real-time decisions, companies can significantly reduce costs as well as improve inventory management. Supply chain analytics can also help predict and forecast demand allowing for a first mover advantage right from the sourcing of products to in-store delivery.

Supply Chain Analytics

Latentview helps companies forecast demand, increase margins, manage inventory more efficiently and manage logistics efficiently thereby reducing cost.



Demand Forecasting


Inventory Planning


Sourcing Analytics


Operational Planning

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Case Study

Using Data To Harmonize Performance Management Measurement

Enable users to perform basic analytical tasks such as filtering views & drilldown by maintaining visual hierarchy, consistent dashboards, enforce comparisions, integrate text, graphics and data.