Product Similarity Accelerator Learning Path for All Audiences

Introduction

This learning path is designed for individuals who need to gain a basic understanding of the Product Similarity Accelerator and it simplifies the handling of large numbers of products by providing a similarity score between products, possibly regrouping them into similar groups, and then using these groups by leveraging them to apply a pricing strategy.

This learning path will discuss the core concepts, functions, and features of the Product Similarity Accelerator from a high-level viewpoint and will serve as the foundational knowledge for the additional learning paths in this series.

Learning Path Disclaimer: Although this learning path offers comprehensive information on the mentioned capability, it lacks a Pricefx environment, that is only available in our instructor-led training, where you can interact with these features and practice using them.

For further insights into the distinctions between our on-demand learning paths and instructor-led training, please click here.

Learning Prerequisites

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

Learning Synopsis

This learning path will delve into the functionalities of the Product Similarity Accelerator from a business user's perspective to illustrate the concepts of product similarities, how to create a similarity score, using groups to steer pricing strategies, and how to analyze the outputs from this model.

Learning Objectives

Core topics and takeaways:

  • Highlight the goals and objectives of Clustering Accelerator for business users.

  • Understand the step-by-step process for instantiating the similarity model.

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

  • Illustrate the outputs from this Accelerator and the dashboards that are created.

Learning Journey

This learning path for the Product Similarity Accelerator is divided into multiple topics and each one is designed to be experienced in a sequential order, as each subsequent level builds upon the knowledge acquired in the preceding content.

This structured approach ensures that learners have the necessary foundation before progressing to more advanced concepts, optimizing the learning experience and maximizing the effectiveness of using the Multifactor Elasticity Accelerator.

Product Similarity Basics

Product Similarity Model Setup

Product Similarity Model Outputs

NOTE: If you have any inquiries regarding the content in this learning path, you can utilize the following online Pricefx forums: AskPricefx community or Pricefx GenAI chatbot.

Time commitment: For this path you should dedicate approximately 1 hour.

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