Artificial Intelligence for Logistics


Unlock the full potential of the logistics industry by embracing the transformative capabilities of Artificial Intelligence (AI). Now is the opportune moment for the logistics sector to harness the power of AI, given its relevance, utility, and profound impact on addressing real-world problems. The network-based structure of logistics provides an ideal framework for the seamless implementation and scalable deployment of AI, enhancing the human elements within intricately organized global supply chains. Failure to adopt AI could pose a long-term risk of obsolescence, as competitors leverage and effectively integrate AI into their operations. AI becomes a game-changer for logistics companies, offering the ability to optimize network orchestration with unprecedented efficiency beyond the scope of human capabilities. This course on Artificial Intelligence for Logistics introduces practical AI applications tailored to the logistics landscape. The learning platform is thoughtfully designed based on IBM Watson Cloud, ensuring a robust and industry-relevant educational experience. Join this course to learn, upskill, and acquire knowledge that is not only highly relevant but also instrumental in addressing contemporary challenges in the logistics industry. Elevate your understanding of AI’s transformative potential, enabling logistics operations to shift from reactive to proactive, planning from forecast to prediction, processes from manual to autonomous, and services from standardized to personalized. Embark on a learning journey that equips you to navigate the evolving landscape of logistics with confidence and proficiency.

Course Objectives:

  • What is Machine Learning
  • Predictive Logistics
  • Sorting Items using AI
  • Customer Service with AI Powered Chatbot


7 hours, 1 Day Course

Mode of Delivery

Classroom-based, Instructor-led Training

Course Outlines

  1. Introduction to AI and Machine Learning
    1. What is Machine Learning and AI
    2. Latest news in AI
    3. Activity: Sentiment Analysis
    4. Machine Learning Methodology
  2. Predictive Logistics
    1. AI Applications for Logistics
    2. Activity: Predictive Logistics
    3. Collecting Data for Machine Learning
  3. Improve Productivity for Logistics
    1. Using AI to Improve Productivity
    2. Activity: Image Recognition and Item Sorting
    3. History of Ai
  4. Improve Customer Service with Ai
    1. Personalised Customer Service with AI
    2. Activity: Chatbot
    3. Overview of AI Powered Chatbot