EY Demand Forecasting & Inventory Optimization

While perfection in inventory management may be difficult to achieve, enhancements are material, as well as manageable. Through EY Demand Forecasting & Inventory Optimization, optimizing your inventory management is entirely attainable.

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Your business challenge

  • The questions of “when” and “how much to stock” are complex, persistent and dynamic. 
  • While perfection in inventory management may be difficult to achieve, enhancements are material, as well as manageable.

Solution benefits

  • Working together with Databricks and Microsoft, we developed the EY Demand Forecasting & Inventory Optimization solution to apply machine learning (ML) forecasting, inventory simulation and scalable deployment. 
  • EY Demand Forecasting & Inventory Optimization helps establish a trusted data pipeline powered by Microsoft Azure and Databricks, providing scalable and multicloud capabilities.
  • It seamlessly integrates with your existing inventory tools, cloud environment and supply chain processes.

Solution features and functionality

EY Demand Forecasting & Inventory Optimization maintains precise inventory levels at granular product, location and customer levels through a broad ML forecasting system. By leveraging ML and distributed computing, it accentuates your ability to account for detailed supply and demand trends.

Why EY

EY Demand Forecasting & Inventory Optimization’s shared data environment means that value too is shared, creating the potential for enterprise-wide inventory management improvements.

EY-Databricks Alliance

In a world where data informs every decision, the EY-Databricks Alliance offers a powerful, unified platform for data, analytics and artificial intelligence (AI) solutions. Through this Alliance, clients have access to a platform that seamlessly integrates and interprets vast data stores in real-time – rapidly delivering tremendous business value at scale.

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