---
title: Replenishment
description: Logic Overview 5:02 Learn about the logic behind the algorithms Nextail uses to calculate the demand. 4:35 Once the algorithm has forecasted demand for each SKU, Nextail run the data through the globa
---

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# Replenishment

**Logic Overview**

- Demand Forecast

<iframe class="hs-responsive-embed-iframe" height="360" src="https://player.vimeo.com/video/472157817" style="position: absolute; top: 0; left: 0; width: 100%; height: 100%; border: none;" width="640" allowfullscreen data-service="vimeo"></iframe>

**5:02**

Learn about the logic behind the algorithms Nextail uses to calculate the demand.

- Optimization

<iframe class="hs-responsive-embed-iframe" height="360" src="https://player.vimeo.com/video/472259507" style="position: absolute; top: 0; left: 0; width: 100%; height: 100%; border: none;" width="640" allowfullscreen data-service="vimeo"></iframe>

**4:35**

Once the algorithm has forecasted demand for each SKU, Nextail run the data through the global optimization engine. Here we'll learn how to maximize the likelihood of overall sales rather than that of individual stores by keeping units in the warehouse.

**Launching a scenario**

<iframe class="hs-responsive-embed-iframe" height="360" src="https://player.vimeo.com/video/480854283" style="position: absolute; top: 0; left: 0; width: 100%; height: 100%; border: none;" width="640" allowfullscreen data-service="vimeo"></iframe>

**4:24**

Grasp how to run a scenario by selecting the replenishment scope and applying forecast parameters. 

**Reviewing a scenario**

<iframe class="hs-responsive-embed-iframe" height="360" src="https://player.vimeo.com/video/480856725" style="position: absolute; top: 0; left: 0; width: 100%; height: 100%; border: none;" width="640" allowfullscreen data-service="vimeo"></iframe>

**4:24**

Review the overall quantities by type of products or stores and identify specific cases where parameterization needs to be adjusted.

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