predictive analytics
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Harnessing Trade Growth Insights with AI: Lessons from the DHL Trade Atlas 2025
Introduction Global trade is often portrayed as fragile and precarious. Headlines about tariffs, wars and supply‑chain disruptions create the impression that cross‑border commerce is in retreat. Yet the 2025 edition of the DHL Trade Atlas paints a very different picture: trade is forecast to continue growing over the next five years, with growth slightly outpacing global Continue reading
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AI-Driven Demand Sensing: Lessons from Unilever and Amazon for the Supply Chain
Context Traditional demand planning in supply chains relies heavily on historical sales data and periodic forecasting. While this approach worked reasonably well in stable markets, the pandemic, climate volatility, geopolitical disruptions and rapidly shifting consumer preferences have exposed its limitations. Demand now swings unpredictably, influenced by social media trends, extreme weather events, promotional campaigns and Continue reading
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Why Predictive Analytics Is the Backbone of Future Supply‑Chains
Context: A Volatile Supply‑Chain Landscape Over the past few years the global supply‑chain has moved from a relatively predictable environment to one characterised by volatile demand, geopolitical tensions and rapid technological change. Port closures during the pandemic, shifting consumer preferences and trade policy shocks have revealed how fragile traditional planning practices are. In response, businesses Continue reading
AI in the Chain 