Role of AI In Cross Functional Drivers Performance
Role of AI In Cross Functional
Rohan Raj Mudvari
Sameep Monsoon Rana
Drivers of Supply Chain Management
Drivers are Entities / Factors that interact with each other and
determine the Supply chain performance in terms of Responsiveness
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
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.
Role of AI in Facility Decision:
AI can analyse data on demographic trends, economic
indicators, and other factors to identify potential locations for
This can help companies make informed decisions that are
based on data.
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.
Role of AI in Information Management
AI can play a significant role in information management by
enabling real-time data analysis, automation, and
AI has the potential to enhance the supply chain by providing
real-time insights as well as improved security on available
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.
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.
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
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.