List Price Optimization Learning Paths

Owned by Ioana Kocurova
Last updated: Jul 24, 2024
2 min read

Introduction

This learning path is designed for individuals who need to gain insights into the concepts and capabilities of the List Price Optimization Accelerator and how to use it to automatically optimize list prices to align seamlessly with your pricing strategy.

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

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

These learning paths on List Price Optimization Accelerator will explore how the solution implemented by this Accelerator eliminates the need for complex manual calculation rules and leverages historical data for improved result relevance with full transparency.

It will highlight how you can now tailor your optimization strategy based on your utilization of price elasticity, allowing you to customize and maximize the impact of your list price changes and how when leveraging price elasticity you can prioritize the optimization of revenue and profit to achieve optimal outcomes.

Learning Objectives

Core topics and takeaways from these learning paths:

  • Understand how to optimize your list prices automatically to align with your price strategy.

  • Depict how to consider multiple rules and business constraints at the same time.

  • Illustrate enforcing the price differences across multiple product groups (for various brands, life cycles, or for customers' specific conditions). 

  • Understand ability to execute several scenarios and choose the most suitable based on simulation results.

  • Demonstrate the embedded use of AI technology without having to define any complex manual calculation rules. 

  • Highlight the utilization of historical data to better result relevancy using 100% transparent calculations.

  • Demonstrate the use of productized AI Optimization use case provided via this Accelerator to provide a fast time to value benefit.

Learning Journey

This learning path for List Price Optimization is divided into several distinct tracks, each tailored to a specific role and application usage. These paths are designed to be experienced in a sequential order, as each subsequent level builds upon the knowledge acquired in the preceding topics.

This structured approach ensures that you have the necessary foundation before progressing to more advanced concepts, optimizing the learning experience and maximizing the effectiveness of the List Price Optimization Learning Path.

The elements of this learning path include:

 

 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.

 

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