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USE CASE

Objective

The inventory manager solution leverages AI to define the status of inventory. It provides real time visibility and planning inventory replenishment. With help of this solution, supply chain teams can predict supply quantities and manage stock more efficiently. The solution can aggregate and analyze demand, supplier orders, production orders and re-order points.

Outcome

The AI-based optimization recommends reorder parameter changes (e.g., safety stock); and can provide lead time predictions, configurable alerts for projected late orders and supplier deliveries to meet OTIF (On-Time-In-Full) targets.

Business Value

The inventory manager solution enables demand volatility prediction, waste reduction, allows decision making on what to order, when to order and how much to order. It enables the company to plan and track order and reduces inventory cost and optimizing service levels

H2O's AI and Data Approaches

This solution  is powered by the H2O AI Cloud Driverless AI AutoML, and H2O.ai Wave. The data science approaches include regression, classification, time series, stacked ensembles, and advanced feature engineering.

 

Resources

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