Presentation about Role of AI In Cross Functional Drivers Performance

1. Role of AI In Cross Functional
Drivers Performance
Presented by:
Rohan Raj Mudvari
Sarthak Shrestha
Saru Mangrati
Sanam Shrestha
Sijen Dangol
Sameep Monsoon Rana

2. Drivers of Supply Chain Management
 Drivers are Entities / Factors that interact with each other and
determine the Supply chain performance in terms of Responsiveness
and Efficiency.

3. Artificial Intelligence (AI)
 Artificial intelligence is the simulation of human intelligence
processes by machines, especially computer systems.
 Specific applications of AI include expert systems, natural
language processing and speech recognition

4. Role of Artificial Intelligence(AI)
 AI can play a significant role in improving cross-functional
driver performance in supply chain management by enabling
real-time data analysis and optimization.

5. Few Ways in which AI
could contribute:

6. Role of AI in Facility Decision:
 AI can analyse data on demographic trends, economic
indicators, and other factors to identify potential locations for
new facilities.
 This can help companies make informed decisions that are
based on data.

7. Role of AI in Inventory management:
 AI can analyse data on sales, production, and supply chain
disruptions to optimize inventory levels and reduce waste.
 This can help companies reduce costs and improve efficiency.

8. Role of AI in Information Management
 AI can play a significant role in information management by
enabling real-time data analysis, automation, and
personalization.
 AI has the potential to enhance the supply chain by providing
real-time insights as well as improved security on available
information.

9. Role of AI in Transportation
 AI can analyse real-time data on traffic, weather, and other
factors to identify the most efficient route for shipments.
 This can help reduce transit time, fuel consumption, and other
costs associated with transportation.

10. Role of AI in Sourcing
 AI can analyse data on supplier performance, such as delivery
times, quality, and compliance, to evaluate supplier
performance and identify areas for improvement.
 This can help companies make informed decisions about
which suppliers to work with and negotiate better terms.

11. Role of AI in Pricing
 AI can play a significant role in pricing by enabling dynamic
and personalized pricing strategies based on data analysis
and predictive modelling.
 AI can analyse data on competitor prices and market trends to
inform pricing strategies.
 AI can use algorithms to optimize prices based on multiple
variables, such as customer demand, inventory levels, and
profit margins.

12. Conclusion
 Overall, AI has the potential to revolutionize supply chain
management by providing real-time insights, personalized
recommendations, and proactive monitoring to optimize
efficiency, reduce costs, and improve customer satisfaction.

13. Thank You! 