The article further discusses the use of predictive intelligence in decision-making. It suggests that a supply chain planning system needs to mimic the real world using a supply chain digital twin to explore all possibilities and identify the impact of events. GenAI can be extremely impactful in predicting and responding to external events, interpreting messages in real time, and identifying their relevance. To successfully implement GenAI, the article suggests that management needs to commit to working toward a supply chain digital twin and embed intelligence into it using AI/ML techniques. This requires a data-driven organization, training supply chain talent to be more like data analysts, and setting up processes to continuously check the validity of data.
Key takeaways:
- GenAI technology can be a powerful tool in supply chain planning due to its ability to bring collective wisdom to decision-making at high speeds.
- Uncertainties in supply chain planning, both internal and external, can be somewhat predictable and managed effectively with the use of predictive intelligence.
- GenAI can be extremely impactful in predicting and responding to external events, making it easier to interpret messages in real time and identify their relevance.
- To benefit from GenAI, management needs to commit to working toward a supply chain digital twin, implying a data-driven organization with real-time availability and granularity of data.