Simulation service model for inventory optimization

This invention describes a way to figure out the best amount of inventory to keep at different locations in a supply chain. It does this by first using one mathematical method to get initial inventory suggestions and other related numbers. Then, it uses a *different* mathematical method to refine those suggestions, potentially adjusting how certain or uncertain those initial numbers are, to arrive at the final, optimized inventory levels for each location.

Why it matters: Since 2023, advancements in AI-driven optimization algorithms and more accessible cloud computing infrastructure make implementing and deploying such a multi-stage simulation service more powerful and cost-effective than previously possible.

Status: Under examinationA pending application. It has not been granted, and it has not been abandoned.
How hard to build: SpecializedComplex software algorithms, data processing

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