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.

Techniques

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Demand Forecasting

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Inventory Planning

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Sourcing Analytics

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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.

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