RISK & RESILIENCE
“ This increased visibility across the entire supply chain enables faster, more informed decision making,” says Levent.“ Whether that’ s rerouting deliveries around flooded roads, switching suppliers or adjusting inventory positioning ahead of extreme weather. For example, AI can anticipate delays due to fog and suggest alternative routes before a disruption cascades through the network.”
Rerouting deliveries ensures that customers remain happy and supply chains remain operational. Rather than facing disruption through climate events across every part of the chain, predictive AI can help limit the impact this risk has on a company. Instead of stock waiting in the warehouse, causing delays and risking over-stocking, the pre-planning and route adjustment prevents this.
Climate risks can cause issues for every part of the supply chain. Extreme weather events can damage crops, as seen in cocoa supply chains when Ghana and the Ivory Coast were hit by increased rainfall and the spread of black pod disease in 2023. These kinds of weather challenges can prevent product moving from its sourcing country or region to its next destination by severely limiting distribution capabilities.
“ Traditional risk management is asking what can happen and how likely it is to happen. Modern risk management is about understanding when things happen, how are we going to react?” Sandra comments.
“ And I think that that’ s the beauty of orchestration and true resilience – making sure that you have preembedded decisions. So when you pass the thresholds, you have a network that knows how to activate, not only internally, but also within your four walls, outside your four walls.”
Though organisations can never predict these events 100 % accurately, AI can be used to explore the likelihood of risk and help business leaders develop strong contingency plans to alternative solutions or routes.
100 April 2026