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 Duration 21 hours

Course Outline

Introduction to AI in Supply Chain and Logistics

  • Current trends in intelligent 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 datasets.

Inventory Optimization and Replenishment Strategies

  • 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 for delivery routing.
  • Dynamic route planning with traffic awareness.
  • Scheduling transport operations using AI.

Warehouse Automation and Robotics

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

Real-Time Analytics and Dashboarding

  • Building live dashboards with Tableau and Python.
  • Tracking KPIs via real-time data streams.
  • Configuring alerts and exception handling mechanisms.

Case Studies and Capstone Project

  • Examining a multi-node supply chain scenario.
  • Implementing forecasting and routing models.
  • Developing a data-driven logistics optimization strategy.

Recap and Future Directions

Requirements

  • Foundational knowledge of supply chain or logistics operations.
  • Practical experience with data analysis or business intelligence tools.
  • Basic competence in programming or scripting languages.

Target Audience

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

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