FYP1-PROJECT PPT

1. G R O U P M E M B E R S :
U S A M A H U S A I N
K A I N AT B A N G A S H H AYAT
M U H A M M A D M U N E E B K H A N A F R I D I
S U P E R V I S O R :
M S . E R U M A B B A S I

2. OBJECTIVES
• To meet the university’s timeline for the completion of the project.
• To fulfill all the requirements of the parent company of the project in the
given timeline.
• To make the learning curve of this project steeper.
• Growth Engine that optimizes prices that leads to increase in sales.
• Growth Engine that optimizes supply chain processes that leads to efficient
decision making.

3. BACKGROUND
• Looking for a final year project, our team decided to opt for a live
project from the industry .
• Machine Learning and Artificial Intelligence are at initial stages and no
significant work has been done to optimize the price and supply
chain process using AI and ML.

4. MOTIVATION
• Business Intelligence forecasting often presents the user with
inaccurate results, causing them to make severe economic mistakes.
• But there are no or very few existing Artificial Intelligence and
Machine Learning based, efficient solutions for the price and supply
chain process optimization.

5. HOW WILL IT BE DONE?
• Data would be extracted from Microsoft Azure SQL database.
• Microsoft Azure Services will be used to do Trend Analysis on the
Data.
• On that analysis we will use Machine Learning algorithms to optimize
price and supply chain process.
• The results will be shown using a power app interface.

6. WHAT HAS BEEN DONE?
• We have studied the services provided by Microsoft Azure.
• Machine learning course from course era has been completed.
• Machine Learning and Artificial Intelligence Algorithms have been
Studied (Research papers).

7. Conclusion
• This project aim is to create a Power App.
• That uses the powerful and sophisticated algorithms of Machine
Learning and Artificial Intelligence.
• To help businesses and organizations increasing their sales, optimizing
their supply chain process, and improving the their business
decisions.

8. THANK YOU
ANY QUESTIONS?