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Course Outline

Introduction to AI in Supply Chain and Logistics

  • Current trends in smart logistics.
  • Comparing AI with traditional analytics in supply chain management.
  • Essential technologies and platforms.

AI-Driven Demand Forecasting

  • Applying machine learning to time-series forecasting.
  • Managing seasonality and trend elements.
  • Enhancing forecast precision using historical data.

Inventory Optimization and Replenishment

  • Predicting optimal stock levels with AI.
  • Calculating safety stock and reorder points.
  • Integrating AI capabilities with ERP and WMS systems.

Route Optimization and Fleet Intelligence

  • Utilizing shortest path algorithms and delivery routing.
  • Dynamic route planning that accounts for traffic conditions.
  • AI-assisted transport scheduling.

Warehouse Automation and Robotics

  • Automating picking, sorting, and storage via AI.
  • Using computer vision for shelf monitoring.
  • Coordinating operations with AGVs and robotic arms.

Real-Time Analytics and Dashboarding

  • Developing live dashboards using Tableau and Python.
  • Tracking KPIs through real-time data streams.
  • Implementing alerts and exception handling mechanisms.

Case Study and Capstone Project

  • Examining a complex, multi-node supply chain scenario.
  • Applying forecasting and routing models.
  • Presenting a data-driven logistics optimization strategy.

Conclusion and Future Directions

Requirements

  • A solid grasp of supply chain or logistics operational frameworks.
  • Proficiency with data analysis or business intelligence platforms.
  • Foundational knowledge of programming or scripting languages.

Target Audience

  • Supply chain analysts.
  • Logistics managers.
  • Industrial planners.
 21 Hours

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