How I Can Apply To Machine Learning To Predict Supply Chain Risks - Potential PhD Topics - Phdassistance
                     HOW I CAN APPLY TOMACHINE  
LEARNING TO PREDICT SUPPLY  
CHAIN RISKS -POTENTIAL PHD  
TOPICS
An Academic presentation by
Dr. Nancy Agnes, Head, Technical Operations, Phdassistance  
Group www.phdassistance.com
Email: [email protected]
TODAY'SDISCUSSION
Outline
Introduction
The role of ML in predicting supply chain risks  
Importance of ML in supply chain risks
Interpretation based on Machine Learning  
Working up with AI
Future Research Topics  
Conclusion
Introduction In a world full of competition where every business is struggling
to put itself ahead, machine learning (ML) can grant some
exclusive opportunities.
From increasing profit margins to reducing costs and engaging
customers, machine learning can help you in many ways.
As the world is triggered by the COVID-19 situation, managing
and handling the supply chain risk is what everyone is thinking
about.
From lowering the risk and improving the forecast accuracy
machine learning is the USB in the supply chains.
Contd...
The role of ML  
in predicting  
supply chain  This application is based on artificial intelligence that
searches for trends, accuracy, patterns and quality
risks which makes your experience better in the system.
Especially the ML algorithms which lead to the platform
of supply chain management helps to predict various
risks involved from unknown factors this will help in
keeping up the constant flow of all goods in the supply
chain.
Contd...

Importance  
of ML in  
Many renowned firms are now paying keen attention to ML to
supply  improve their business efficiency and predict risk in supply
chain risks chains.
So, let's take some time to understand how AI addresses the  
various problems involved in supply chains.
Moreover, we will also learn about the advanced t
echnologies role in the management of the supply chain.
Contd...
COST EFFICIENCY
ML can be great in waste reduction and improving the quality. It can have an  
enormous impact on the supply chains.
The power lies in its algorithms that detect the pattern from the data and help in
predicting the involved risks in supply chains.
ML can continuously integrate information and emerging trends to meet the new  
demands.
Contd...
Thus, it's very useful for retailers and business to deal with aggressive markdowns  
and helping them in cost efficiency.
ENABLES PRODUCT FLOW
With its set sequential operations it enables smooth product flow.
It monitors the product line and ensures the targeted process of production is  
achieved.
It offers an overview of the system thus it minimizes risks involved in the supply chain.
Contd...
TRANSPARENT MANAGEMENT
MI can communicate and explain the risk involved in supply chains with transparency.  
It helps humans to understand the procedure and take the right decision.
From e-commerce giants to small to medium-sized business MI helps to manage  
their sales and predict future risks with transparency.
Moreover, it helps in relationship management because of its faster, simpler and  
proven practices in administrative work.
Contd...
QUICK SOLUTION FOR PROBLEMS
MI helps to resolve problems quickly with the help of previous data.
The MI prediction is based on outcomes of the past results from data.
It is best to deal with unbiased analysis of quantified factors to generate the  best
outcome.
INTERPRETATION  
BASED ON MACHINE  ML is a of programming with artificial
way  i
LEARNING ntelligence.
rules of calculations with the
It replaces set  
program.
With the given set of data, algorithms statistics,  it 
combines and represents in a model form.
These models will make predictions based on the  
input data.
Contd...
It involves computer-aided modelling for supply chains.
It is a process to enhance performance and limit risks with concrete predictions.  
With the help of data collection, MI concludes with precise algorithms.
MI is perfect to manage the supply chain and deal with all the risk involved in it.
Contd...
WORKING  
UP WITH AI
Companies that are new to AI can begin with a system to
obtain an actionable solution to problems in the supply chain.
Once businesses gain confidence with the system they can
be assured that it can make changes accordingly to improve
operational requirement.
With the system improving it can determine the various
impact on the company's KPIs (key performance indicators).
Contd...
Later it can make an instant decision related to the supply chain to get the best  
business outcomes.
Some new supply chains have achieved good improvements in the error rates by using  
ML methods.
These improvements lowered the risks involved in supply chains.
With AI, you can have a better delivery time, forecast demand, production and able to  
meet the deadline of customers order and also in other aspects of the business.
AI ensures smooth flow of the supply chain with risk protection.

CONCLUSION
The efficiency level of the supply chain is crucial for
businesses.
Operating businesses with tight profit margins and with
certain improvements can impact the overall profit line of the
business.
MI technologies make the job simple to deal with various
challenges of forecasting and volatility demand involved in
supply chains.
Moreover, it ensures efficiency, profitability and better
management of the supply chain.
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