AI Driven Demand Planning and Risk Management

In today’s fast-paced and ever-evolving business landscape, effective demand planning is crucial for maintaining a competitive edge. A masterclass on this topic provides invaluable insights into forecasting techniques, inventory management, and supply chain optimization. By mastering demand planning, businesses can ensure they have the right products in the right quantities at the right time, minimizing stockouts and excess inventory. This not only enhances customer satisfaction but also significantly reduces operational costs.

AI integration is transforming industries by automating processes, enhancing decision-making, and uncovering new opportunities for growth. A masterclass on AI integration equips participants with the knowledge to leverage AI technologies effectively. From predictive analytics to machine learning algorithms, understanding how to implement AI can lead to more accurate demand forecasts, personalized customer experiences, and streamlined operations. This knowledge is indispensable for staying ahead in a technology-driven market.

Risk management is another critical area that cannot be overlooked. In an unpredictable world, businesses must be prepared to handle various risks, from supply chain disruptions to market fluctuations. A masterclass on risk management teaches strategies to identify, assess, and mitigate risks, ensuring business continuity and resilience. By learning from experts, participants can develop robust risk management frameworks that protect their organizations from potential threats and enable them to navigate uncertainties with confidence.

Top Learning Objectives

  • Grasp the core principles of demand planning, AI integration, and risk management.
  • Learn advanced forecasting methods to predict demand accurately.
  • Explore various AI tools and technologies used in demand planning and risk management.
  • Develop skills in analyzing data to make informed decisions.
  • Identify potential risks in supply chain and demand planning processes.
  • Formulate effective risk mitigation strategies to minimize impact.
  • Understand how to integrate AI into existing demand planning and risk management frameworks.
  • Learn to create and analyze different scenarios to prepare for uncertainties.
  • Establish key performance indicators (KPIs) to measure the effectiveness of demand planning and riskmanagement.

Who Should Attend?

  • Production & Inventory Management Managers
  • Supply Chain Management Managers
  • Warehouse managers
  • Logistics and Distribution Managers
  • Construction Managers
  • Procurement Managers
  • Materials Management Managers
  • Demand Planning Managers
  • Demand Forecasting Managers
  • Manufacturing Information Systems Managers
  • Spare Parts Management Managers

Trainer's Background

  • He is an experienced International Supply Chain Professional with over 30 years of extensive experience in Operations, Warehousing, Inventory, Logistics, Procurement and Continuous Improvement processes.
  • He has significant International exposure in Australia, USA, Europe, A/Asia, India, Japan, Korea with expertise in the Defense, Mining, FMCG, 3PL, Manufacturing, Retail and Agricultural sectors.
  • He has a proven track record in developing successful Global Commercial relationships through a mix of strong interpersonal skills and a tailored strategic approach to the various markets.
  • He has a keen interest in developing exceptional teams to achieve business goals through developing and implementing successful programs to meet the operational needs of the organization.

EVENT SCHEDULE

Face-to-Face Masterclass
Date: 5th – 7th May 2025
Time: 8:30 AM – 4:30 PM
Location: Cape Town, South Africa


“Very good knowledge and practical experience. Thanks for the useful key learnings. I really enjoyed and appreciated the
knowledge transferred during this training”

– Procurement, Boots Retal Ltd

 

“Case studies provided great examples in Different industries that can be leveraged in mu market area.”

– Supply Chain Professional, Olympus