Enterpise Bot for Dynamics ERP
Degree
Master of Science in Computer Science
Department
Department of Computer Science
School
School of Mathematics and Computer Science (SMCS)
Date of Submission
Fall 2023
Supervisor
Farhan Ahmed Siddiqui, Visiting Faculty, Department of Computer Science
Keywords
Enterprise Resource Planning (ERP), Bot Framework, Azure, Chatbot
Abstract
This abstract presents a report focused on the automation of key functionalities within an Enterprise Resource Planning (ERP) system through the development and implementation of a Automation application. ERP modules, such as customer creation, sales order processing, and purchase order management, often involve tedious and error-prone manual data entry processes. The aim of this project is to address these challenges by leveraging AI-powered automation to streamline these operations with minimal user input.
The report highlights the potential risks associated with human intervention in ERP operations, particularly the possibility of erroneous data entries. Such errors can have significant repercussions, especially when orders are invoiced, leading to discrepancies in financial records. By developing a Automation application, we aim to mitigate these risks by automating the creation of orders and reducing the reliance on manual data entry. Furthermore, the Automation application serves as a valuable tool for improving accessibility and enhancing user experience.
The implementation of the Automation application facilitates the automation of mundane tasks within the ERP system. Data quality issues arising from incorrect data entry are recognized as a primary concern even after successful ERP implementation. Through automation, the project seeks to substantially reduce the risk of inaccuracies and data inconsistencies. For instance, the need for creating numerous credit notes to rectify imbalances in the trial balance can be eliminated.
By integrating a Automation application into the ERP system, organizations can significantly enhance operational efficiency, minimize human errors, and improve data quality. The project aims to demonstrate the value of automation in optimizing ERP processes, highlighting the benefits of reduced manual effort and enhanced accuracy. Additionally, the Automation application serves as a valuable tool for streamlining order management, improving financial reporting, and ultimately supporting better decision-making within the organization.
The findings of this report provide valuable insights into the potential of AI-driven automation in ERP systems. The analysis emphasizes the importance of mitigating data entry errors and highlights the positive impact of the Automation application in improving data quality, reducing manual effort, and facilitating more efficient operations. The report concludes with recommendations for organizations to embrace similar automation initiatives to optimize their ERP workflows and enhance overall productivity.
Document Type
Restricted Access
Submission Type
Research Project
Recommended Citation
Rasheed, Noman. "Enterpise Bot for Dynamics ERP." Unpublished graduate research project. Institute of Business Administration. 2023. https://ir.iba.edu.pk/research-projects-mscs/54
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