University Project: AP Optimization Through Machine Learning

This project focuses on optimizing Accounts Payable (AP) processes through the application of Machine Learning (ML) techniques. The project aims to automate invoice processing, reduce manual effort, and improve efficiency within a retail organization. It includes a detailed Work Breakdown Structure (WBS) outlining tasks, durations, resources, and associated costs. The project charter defines the scope, stakeholders, and business problem, highlighting the inefficiencies of manual invoice processing. The project leverages SAP Leonardo to automate invoice processing. The project provides a comprehensive budget table, detailed WBS, and a project charter that covers the business problem, scope, and stakeholder analysis to ensure project success. The project also includes a bibliography of relevant literature on project management and earned value techniques. The project's goal is to leverage AI to streamline AP processes, address the challenges of large transaction volumes, and reduce the time-consuming aspects of invoice processing within large enterprises like Apple and Walmart.

Running head: PROJECT MANAGEMENT
Project Name: AP (Account payable) optimization through machine learning
Name of the Student:
Name of the University:

1PROJECT MANAGEMENT
Budget table
WBS Task Name Duration Resource Names Cost
0
AP Optimization through
Machine Learning
261 days $15,000,000.00
1 Ordering Process 148 days $9,805,600.00
1.1
Receive purchase
order
73 days $4,624,800.00
1.1.1 Order entry 10 days
Inventory Manager, Operation
Manager
$400,000.00
1.1.2
Entry of purchaser
name
12 days
Operation Manager, Project
Manager, System Analyst,
Vendors and Suppliers
$806,400.00
1.1.3 Check inventory 23 days
Project Manager, Vendors and
Suppliers, Business Consultant,
Financial Analyst
$1,380,000.00
1.1.4 Check purchaser
record in database
21 days Project Manager, System
Analyst, Financial Analyst,
Inventory Manager, IT
$1,730,400.00

2PROJECT MANAGEMENT
developer
1.1.5 Confirm order 7 days
Project Directors, Project
Manager
$308,000.00
1.2 Update records 45 days $3,390,400.00
1.2.1
Assign order to
purchaser
11 days
Project IT Engineers, Project
Manager, IT developer,
Operation Manager
$739,200.00
1.2.2
Calculate unit cost for
order
14 days
Business Consultant, Financial
Analyst, Inventory Manager
$649,600.00
1.2.3
Calculate total cost
for order
20 days
Financial Analyst,
Management, Operation
Manager, Project Directors
$2,001,600.00
1.3 Release entry 30 days $1,790,400.00
1.3.1
Release order through
verification
18 days
System Analyst, Vendors and
Suppliers, Inventory Manager,
IT developer, Financial Analyst
$1,368,000.00
1.3.2
Print bill against the
order
12 days
Financial Analyst, Inventory
Manager
$422,400.00
2 Internal verification 90 days $4,144,800.00

3PROJECT MANAGEMENT
process
2.1 Dispatch order 43 days $1,903,200.00
2.1.1
Dispatch the order to
the purchaser
19 days
Inventory Manager, Operation
Manager, Financial Analyst
$1,048,800.00
2.1.2
Update inventory
record
12 days
Inventory Manager, IT
developer, Financial Analyst
$585,600.00
2.1.3
Generates bill for
purchaser
12 days Biller, Business Consultant $268,800.00
2.2 Payment process 47 days $2,241,600.00
2.2.1
Provide payment
option to purchaser
12 days
Inventory Manager,
Management, Financial Analyst
$710,400.00
2.2.2
Receive entry for
csh/online payment
12 days
Financial Analyst, Inventory
Manager
$422,400.00
2.2.3
Check for change
against the payment
11 days
Operation Manager, System
Analyst, Vendors and Suppliers,
Financial Analyst
$686,400.00
2.2.4 Adjust all balances 12 days
Financial Analyst, Inventory
Manager
$422,400.00

4PROJECT MANAGEMENT
3
Automatic invoice
generation
23 days $1,049,600.00
3.1
Update purchaser
record
12 days
Financial Analyst, Inventory
Manager, Operation Manager
$662,400.00
3.2 Generate invoice 11 days
Financial Analyst, Inventory
Manager
$387,200.00

5PROJECT MANAGEMENT
Bibliography
Fleming, Q. W., & Koppelman, J. M. (2016, December). Earned value project management.
Project Management Institute.
Kerzner, H., & Kerzner, H. R. (2017). Project management: a systems approach to planning,
scheduling, and controlling. John Wiley & Sons.