Introduction

This learning path is tailored for individuals seeking to acquire a comprehensive understanding of the principles and functionalities of the Clustering Accelerator and how it generates clustering of items (ie. customers) to provide a powerful tool for heightened understanding of how to target pricing. Its primary objective is to better understand the relationships between customers and products, and to regroup customers that buy the same products in the same proportions to create a data-driven typology.

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 Clustering Accelerator will illustrate how advanced AI optimization techniques can identifying meaningful clusters so businesses can develop more effective pricing and marketing strategies, increase customer satisfaction and retention, and ultimately drive revenue growth.

It will highlight how to install and configure this Accelerator, map the incoming data, define the clustering metrics, creating a clustering model, configuring the model, and explore the clustering results.

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 creating the clustering model.

• Define the different clustering metrics and explain their relevancy

• 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 Clustering 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.