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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! 
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