### What is Supply Chain Analytics?

Use data analytics with python to improve operational efficiency by enabling data-driven diagnostics and decisions at strategic and operational levels

Optimize the flow of goods with inventory management, demand forecasting and network design

Use data analytics with python to improve operational efficiency by enabling data-driven diagnostics and decisions at strategic and operational levels

Implement the Wagner-Whitin algorithm to minimize the total costs of production given a set of constraints.

Do you consider the fluctuation of your demand when you design a Supply Chain Network? In this article, we will build a simple methodology to design a Robust Supply Chain Network using Monte Carlo simulation with Python.

Implement inventory management rules based on a periodic review policy to reduce the number of stores replenishments.

A statistical methodology to segment your products based on turnover and demand variability

Use non-linear programming to find the optimal ordering policy that minimizes capital, transportation and storage costs

Where do you need to allocate your stock to meet customers demand and reduce your transportation costs?

Use linear programming to create an optimal recipe for a cheap meal bar that meets specific nutritional requirements

Find the optimal locations of your manufacturing facilities to meet your customers’ demand and reduce production costs