SUPPLY CHAIN STRATEGIES
With the current climate of geopolitical volatility, trade tariffs and moving regulations, supply chain networks have had to adapt and become efficient sources of existential risk. It is no longer about whether operations will be disrupted, but whether you are able to see it coming.
Analytics is increasingly the answer for many forward-thinking firms. Not the traditional dashboards and quarterly KPI reviews, but in real-time, predictive, AI-driven intelligence that can help turn the numbers into a meaningful prediction.
Risk and prediction: how to see what’ s coming Historically for supply chains, risk management has meant reviewing previous mistakes. KPIs were tracked, lessons were logged and the actions taken to fix things were filed. The issue with this, as David Weeks, Supply Chain Industry Practice Lead at Moody’ s, puts it, is that all of those approaches share the same fundamental flaw: they rely on lagging indicators.
“ COVID served as an industrywide wake-up call … advancements in cloud technology, predictive analytics and AI now enable organisations to detect early signals and potential ripple effects of disruptive events with greater precision than before.”
The pandemic was the global event that forced the industry to reconsider the practices that had been taking place with little attention for years.
66 August 2026