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Supply Chain Management with Artifical Intelligence

Supply Chain Management with Artifical Intelligence

Original price was: ر.ق 1,799.00.Current price is: ر.ق 1,049.00.

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Description

Course Description:

In this course, you’ll explore how Artificial Intelligence (AI) is revolutionizing supply chain management. We’ll delve into the various applications of AI in optimizing supply chain operations, including demand forecasting, inventory management, logistics, and procurement. Through a combination of lectures, case studies, and hands-on projects, you’ll gain a comprehensive understanding of how AI technologies such as machine learning and data analytics can be leveraged to enhance efficiency, reduce costs, and mitigate risks within supply chains.

Modules Covered:

Module 1: Role of Supply Chain Management in the Organisation
Module 2: Supply Chain and General Business Strategy alignment
Module 3: Warehousing Strategy for Efficient Supply Chain Management
Module 4: Inventory Management for Supply Chain Effectiveness
Module 5: Strategic Logistics Alliances
Module 6: Efficient Transportation & Customer Service Goals
Module 7: SCM Developments & Strategy
Module 8: SCM Quality Management
Module 9: SCM Performance Measurement
Module 10: Information Technology (IT) for Supply Chain Management
Module 11: Global Supply Chains and UN’s Sustainable Development Goals
Module 12: Introduction to AI in Supply Chain
Module 13: Role of AI in Optimizing Supply Chains
Module 14: Logistics Management and AI
Module 15: AI-Driven Demand Planning
Module 16: Smart Warehousing with AI
Module 17: AI for Supply Chain Visibility
Module 18: Risk Management and AI

Training Outcome:

  • Understand the fundamental concepts of supply chain management and artificial intelligence.
  • Explore real-world examples of AI applications in optimizing supply chain processes.
  • Learn how to analyze supply chain data and identify opportunities for AI implementation.
  • Develop practical skills in deploying AI techniques for demand forecasting, inventory optimization, and logistics planning.
  • Gain insights into the ethical and societal implications of integrating AI technologies into supply chain operations.

Certificate

Certificate of Achievement

Kudos to your commitment to continuous learning and professional growth.
You’ve earned a globally recognized Certificate of Achievement — an accomplishment to be truly proud of.

51 reviews for Supply Chain Management with Artifical Intelligence

  1. Samira Zayed –

    Safety stock and reorder point tools saved hours.

  2. Sarah Davis –

    Excel/CSV templates for quick pilots were handy.

  3. Bumati Ahuja –

    Loved the demand forecasting labs—helped me cut stockouts in a pilot project.

  4. Fahad Al-Saleh –

    Practical approach to reducing lead times.

  5. Divya Upadhyay –

    Self-paced format fit my schedule; case studies were relevant to e-commerce.

  6. Abdullah Al-Sabah –

    Capstone project was a great addition to my portfolio.

  7. Sarah Davis –

    Helped me understand AI-driven warehouse management.

  8. Sonamoni Phadanis –

    Used the network optimization assignment to impress in an interview—got the job!

  9. Robert Jackson –

    Implemented ABC-XYZ with ML and cut slow-mover waste.

  10. Kannagi Muzumdar –

    AI topics explained without fluff; solid intro to MLOps for planners.

  11. Robert Jackson –

    Boosted my confidence in using AI tools.

  12. Praanvi Navathe –

    Would love more on cold chain, but overall excellent.

  13. Tivra Vaknis –

    Transitioned our safety stock model to gradient boosting—saw 7% holding cost drop.

  14. Hessa Al-Khaled –

    Instructors know both AI and logistics realities.

  15. Korravai Seth –

    Capstone on route optimization used real datasets; very engaging.

  16. Aisha Mohammed –

    Detailed and practical coverage of inventory optimization.

  17. Hessa Al-Khaled –

    Learned how AI reduces logistics bottlenecks.

  18. Michael Brown –

    Helped me prepare for a promotion interview.

  19. Emily Johnson –

    Gave actionable insights for day-to-day planning.

  20. Karuna Divakar –

    Good intro to reinforcement learning for warehouse slotting.

  21. Emma Thomas –

    Some ML sections were intro-level for me.

  22. Mubarak Al-Shatti –

    The platform was smooth and easy to use.

  23. Rekha Ganapuli –

    The S&OP alignment module changed how we run our monthly cycle.

  24. Omar Hassan –

    Right mix of concepts and labs.

  25. Talal Rashid –

    Excellent explanation of demand-supply alignment.

  26. Vinay Chadda –

    Comparable to pricey bootcamps at a fraction of cost.

  27. Aisha Mohammed –

    Network design animations clarified trade-offs.

  28. Mubarak Al-Shatti –

    Customer service team was very responsive and supportive.

  29. Akshey Barvadekar –

    Wanted a bit more on African logistics context; still very strong.

  30. Omar Hassan –

    Definitely recommend to supply chain professionals.

  31. Sunder Mayadev –

    Built a service-level KPI dashboard that my VP now uses weekly.

  32. Fatima Al-Harbi –

    I paused during peak season and resumed easily.

  33. Katyayana Hegadi –

    Starts simple, ramps to advanced inventory models nicely.

  34. Dalal Al-Anwar –

    Visualization of supply chain networks was helpful.

  35. Shudraka Bhave –

    Discussion forum replies were quick and helpful.

  36. Harsh Punja –

    Enabled me to lead an AI pilot—recognized by leadership.

  37. James Smith –

  38. Pravarasena Karamchand –

    Loved the bullwhip simulation with ML mitigation strategies.

  39. Daas Vyas –

    Optimization math was tough; rewindable videos helped.

  40. Yusuf Ibrahim –

    Case studies were very industry-relevant.

  41. Kusika Dvivedi –

    Short modules, frequent quizzes kept me on track.

  42. Kahoda Bhatta –

    Worked with messy data—felt realistic.

  43. Hamad Younis –

    Step-by-step teaching style was effective.

  44. James Smith –

    Gave me clarity on blockchain in supply chains.

  45. Hessa Al-Khaled –

    Strong focus on predictive analytics in logistics.

  46. Samira Zayed –

    AI ethics in procurement bias was eye-opening.

  47. Fahad Al-Saleh –

    Enjoyed the flexibility—completed during weekends.

  48. Aisha Mohammed –

    Made me rethink how we use data in procurement.

  49. Aisha Mohammed –

    Great balance of theory and application.

  50. Jassem Al-Zaid –

    Hands-on exercises made learning stick.

  51. Sophia White –

    Improved my skills in route optimization.

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