Project

1. GROWTH ENGINEG R O W W I T H U S
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 A T B A N G A S H
M U H A M M A D M U N E E B K H A N A F R I D I
U N D E R T H E S U P E R V I S I O N O F M S . E R U M A B B A S I

2. MEET THE TEAM
ERAM ABBASI
SUPERVISOR
VISITING FACULTY – IBA KARACHI
USAMA HUSAIN
TEAM MEMBER
BSCS – BATCH OF 2019
KAINAT BANGASH
TEAM MEMBER
BSCS – BATCH OF 2019
MUNEEB AFRIDI
TEAM MEMBER
BSCS – BATCH OF 2019

3. BACKGROUND & MOTIVATION
• Looking for a FYP (Final Year Project), the team decided to opt a live project from the
industry
• The Team’s mutual interest in AI/ML
• 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 AI/ML based efficient solutions

4. PROBLEM
• Rising Trend of “Seasonal Sales” in Pakistan, such as 11.11, Black Friday,
Blessed Friday, etc.
• Promotion-Heavy Environment and Ad-Hoc Reporting Based on BI (Business Intelligence) using
Statistical Models, therefore, UNCERTAINITY lies (Showing part of Big Picture)
• Old Statistical models are not designed to learn continuously from data and make decisions; they
become obsolete when new data comes in
• On the other hand, Machine learning computer programs teach themselves to grow and change
when exposed to new data.

5. EXISTING SOLUTIONS
• “Best-Fit” forecasting is a basic form of Machine Learning. NOT PRACTICED!
• Software solutions - use algorithms to continually analyze the state of your supply chain! NOT
PRACTICED!
• Multi-Echelon Inventory Optimization (MEIO) – EXPENSIVE, NOT PRACTICED!

6. Our SOLUTION
INCREASE
YOUR SALES
OPTIMIZE
YOUAR
SUPPLY CHAIN
SETTING
RIGHT PRICE
POINTS
REDUCE
FULLFILMENT
LOSSES
• Using powerful and sophisticated algorithms of Machine Learning and Artificial
Intelligence, GROWTH ENGINE – A recommendation engine which helps you,

7. Growth Engine
• Data extracted from Microsoft Dynamics 365 Finance & Operations
• Microsoft Azure Services used to perform the functions of Predictive Data Analytics
with the help of library Scikit Learn.
• Multivariant Linear Regression model (AI model) at the back-end, while Microsoft’s
PowerApps at Front-End

8. Growth Engine
5/26/2019
8

9. Growth Engine
5/26/2019
9
• Works using Dynamics 365 as a platform
• Uses Organizations data in the system, specifically Sale Orders
• Embedded with PowerApps
• The App Predicts Cost of Carrier Services
• Improving Sales & Optimizing Supply Chain

10. GROWTH
ENGINE
2018-2019
7 Months Plan
FYP Q1
PROBLEM
IDENTIFCATIONIt serves as the first step in a
systematic process to identify, a a
problem and explore potential
solutions.
Q2
AREA OF INTEREST
Finding the team’s area of interest to
get on one page i.e. Artificial
Intelligence & Machine Learning
Q3
RESEARCH (PHASE –
1)Aligning the problem statement with
the team’s area of interest through
extensive research
Q4
INDUSTRY
IDENTIFICATIONThe domain of business and the
companies dealing with them, such as
FOLIO3 works for e-commerce
businesses
DEC/
2018
Q1
USE-CASE IDENTIFICAION & MODEL
REQUIREMENTS GATHERING
Identifying the use-cases, the target
audience and area, and gathering data to
design models for machine learning’s
algorithm
Q2
DATA PREPARATION
Identification of the data patterns and the
tables with cleansing and segmenting
Q3
MODELLING
EXPERIMENTSDifferent predictive models are trained on the data
given by the company and tweaking the models as per
needs
Q4
INSIGHT CREATION
Identification of trends & patterns using the
physical dashboard to create insights
FEB/
2019
Q1
GUI DESIGNING
Designing a user friendly interface for better understanding
of the trends using dashboards of Microsoft’s PowerApps
Q2
PROOF OF VALUE:
ROITying the strategies with the strategic
information in order to improve the
Return on Investments of Businesses
Q3
OPERATIONALIZATI
ONMilestone Different parameters will be used to
observe different patterns to maximize the
growth of businesses
Q4
END PRODUCT
DEVELOPMENTMaking of the final product for the
delivery after all the testing and
experimentation
Growth
Engine

11. THANK YOU!