Introduction

This learning path is tailored for individuals seeking to acquire a comprehensive understanding of the principles and functionalities of the Markdown Optimization Accelerator. By integrating sophisticated AI optimization methods with demand forecasting, this accelerator aims to identify the most advantageous prices and markdowns. Its primary objective is to assist businesses in effectively managing frontline discounting, addressing pricing leakage, and optimizing promotion strategies.

It is separated into multiple learning paths that are dependent upon your expected role using this Pricefx Accelerator.

Learning Prerequisites

Make sure that you have these aspects covered before moving on to the course.

• Pricing Basics

• Pricing Terminology

• Accelerator Overview

• Price Optimization Core Learning Path for All Audiences

Learning Synopsis

These learning paths on Markdown Optimization Accelerator integrates advanced AI optimization techniques with demand forecasting to determine optimal prices and markdowns, ensuring more precise pricing strategies and illustrate how businesses can effectively manage frontline discounting by utilizing the capabilities.

It will highlight how to install and configure this Accelerator, map the incoming data, build a forecasting model, train the model, predict quantity for the next period and then fit an elasticity curve to match expected quantity to price variations.

Learning Objectives

Core topics and takeaways from these learning paths:

• Illustrate how to deploy and configure this Accelerator into a partition.

• Depict the mandatory data requirements in our transactional data that are needed for this Accelerator.

• Understand the step-by-step process for instantiating the machine learning model.

• Define the steps for running our calculation and initiate the training of the elasticity model.

• Highlight the underlying technical components and libraries that are used by developers for building the logics involved in these calculations.

Learning Journey

This learning path is separated into sections that provide a basic roadmap for building your knowledge and understanding of the technical aspects of Multifactor Elasticity Accelerator.

The components in this path are designed to be experienced in a sequential order, as each subsequent level builds upon the knowledge acquired in the preceding learning path(s). This structured approach ensures that learners have the necessary foundation before progressing to more advanced concepts, optimizing your learning experience.