What's the impact on procurement and supply chain?

How BT Sourced is turning procurement bottlenecks into savings breakthroughs with autonomous negotiations 

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This second blog exploring Beroe’s latest report from its Future Visions series, outlines what it truly takes to enable intelligence-driven decision-making, moving beyond the hype around new tools to focus on the structural capabilities that really matter. In today’s high-stakes procurement landscape, making confident, strategic decisions is tougher than ever, especially when procurement teams are overloaded with fragmented data and navigating tools that don’t talk to each other. 

From our new report, Artificial Intelligence: Real Decisions  

Navigating Today's Supply Chain Challenges
Global supply chains have faced significant challenges in recent years, forcing companies to reassess their operational strategies. The COVID-19 pandemic exposed vulnerabilities, while US-China trade tensions, geopolitical conflicts, talent shortages, and logistical issues—such as the Red Sea disruption—compounded the difficulties.

Author: Amit Sampaul (Senior Research Analyst)

The Procurement Beige Book is a quarterly publication from Beroe that assesses and reports the level of favorability in sourcing conditions across a comprehensive set of commodities, materials, products, and services. By combining insights from a range of clusters, portfolios and nearly 400 categories the Beige Book provides procurement professionals with a detailed snapshot of favorability levels, helping them navigate market complexities with confidence. 

As tariff tensions escalate, the global procurement landscape is entering a new phase of disruption. The U.S. has rolled out sweeping tariff hikes, most notably a 145% tariff on China, and 25% duties on Canada and Mexico, and the steel, aluminum, and auto sectors. While some reciprocal tariffs are on a 90-day pause,

In today’s turbulent global economy, procurement teams face significant challenges due to inflation and market volatility. Existing inflation forecasting methods, which have traditionally used broad national indicators, have proven to be inadequate in providing the precision needed for quick and contextualized decision-making.