Introduction

This learning path is designed for technical developers (ie. Configuration Engineers) that are responsible for the creation and configuration of solutions using the Shelf Price Optimization Accelerator. The use of this Accelerator will provide the pathway to a fast implementation and allow a core framework to configure customer specific needs and requirements.

It will focus on the core and common tasks associated with developing Groovy logic and configuration of this module and highlight key components of the Shelf Price Optimization for Configuration Engineers to build their technical comprehension for the configuration and customization of this Accelerator for customer requirement.

✅ Learning Prerequisites

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

• Data Management

• Pricing Basics

• Pricing Terminology

• Shelf Price Optimization for All Audiences

• Shelf Price Optimization for Administrators

🧭 Learning Synopsis

This learning path covers optimization models, types, and calculations, equipping you with the knowledge to configure, manage, and optimize shelf price recommendations in Pricefx. It contains the foundational knowledge you need to thrive in your configuration of this Accelerator and expand your understanding of best practices associated with it. You will also learn core technical concepts, use case customization, practice scenarios and all the details you need to build custom optimized shelf price solutions.

🎯 Learning Objectives

Core topics and takeaways:

• Demonstrate a comprehensive understanding of the Shelf Price Model class used with this Accelerator.

• Illustrate the step-by-step process needed for building the model architecture for this optimization.

• Understand how to define the Data Source and the mapping of the entries for the transactions.

• Illustrate the creation and usage of logics to allow the business user to choose the filters to scope the shelf price optimization.

• Depict creation and usage of the logic that merges and validates the aggregated table corresponding to the exact scope of the optimization.

• Illustrate the calculation process and the logic needed, validation of the elasticity model and the data preparation needed.

• Understand the results phase and the calculations needed to create a simulation and an optimization run to retrieve their results.

🚘 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 Shelf Price Optimization.

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.

Shelf Price Optimization Model Class

• Shelf Price Model Class

• Shelf Price Library

Definition Step

• Define and Map Sales Data

  • Define and Map Stock Data

  • Define and Map Competition Data

Scope Step

• Calculation Data Preparation

  • Scope Filtering

Configuration Step

• Data Aggregation

  • Guiding Optimization Process

Results Step

• Simulation Creation

  • Simulation Run

  • Results Preparation

  • Impact and Forecast Results

  • Detailed Results

  • Glassbox and Drivers

  • Model Evaluation

⏲️ Time commitment: For this path you should dedicate approximately 4 hours.