Class 8

Robotic Process Automation: Automating the Order-to-Cash Process workshop 2

Thursday, April 24, 2025

Class Overview

Why is this important?

This final workshop class is the second of two workshops classes that build on prior in-class automation efforts, guiding students toward the completion of their Order-to-Cash desktop bots for the Professionalism case. The motivation is to transition students from supported classroom development to fully documented, standalone solutions that reflect real-world automation expectations balancing functionality, clarity, and maintainability.

What will we do?

This is the second and final workshop session dedicated to completing the Order-to-Cash automation for the Skylar and Victoria case. Students should finalize their CSV-driven workflow logic, implement exception handling and annotations, and prepare their automation for submission as part of the Professionalism assessment. Instructor support will be available for debugging and design refinement. Students who have completed this phase may use remaining time to advance their Individual RPA Submission project.

How this relates to other classes:

We will begin with a check-in on progress from Workshop 1 and recap key challenges observed in implementing CSV-driven automation. Attention will be given to troubleshooting common issues, such as date formatting, file path logic, or incomplete shipping record matching.

By the end of this session, students should have a fully functional and documented bot capable of simulating the Order-to-Cash workflow using CSV input files. Those who finish early may explore enhancements such as logging mechanisms, runtime prompts, or process flexibility. These improvements may carry over into the Individual RPA Submission and Intelligent Automation Tournament cases.

Materials and Preparation

Class Materials

Required Deliverables

Deliverable Due Date Canvas Submission Portal
Professionalism (individual): Classes 03-08 Skylar and Victoria Pure Reformed Oils RPA Case May 1st, 2025 Upload to Canvas