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# Inventory Optimization with Dynamic Programming in Less than 100 Lines of Python Code

**[Towards AI](https://daily.dev/sources/tai)** · 10 min read · 1 upvotes · 0 comments

## Summary

This article discusses inventory optimization using dynamic programming and the Markov Decision Process. It explains the components of a Markov Decision Process, provides code examples in Python, and demonstrates the Policy Iteration Algorithm for finding the optimal policy. The article emphasizes the adaptive nature of inventory optimization and aims to provide a foundation for solving inventory optimization problems.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://pub.towardsai.net/inventory-optimization-with-dynamic-programming-in-less-than-100-lines-of-python-code-ab1cc58ef34c?source=rss----98111c9905da---4>

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---

Tags: [#data-science](https://daily.dev/tags/data-science), [#dynamic-programming](https://daily.dev/tags/dynamic-programming), [#python](https://daily.dev/tags/python)

[View this post on daily.dev](https://daily.dev/posts/inventory-optimization-with-dynamic-programming-in-less-than-100-lines-of-python-code-urkx79wcp)

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