Stacey Schroeder

Special Guest Blog Post written by Karin Bursa, Supply Chain Industry Advisor and Supply Chain Now Host   Here is a diagnostic question I use with supply chain leaders: when disruption hits, do your teams spend most of their time debating the data, debating the scenarios, debating the plan, or debating the decision? Or all of the above? Seriously though, in 2026, that distinction matters. Network shifts driven by tariffs, geopolitics, cost pressure, and sustainability are accelerating. Gartner’s 2025 U.S. Trade and Immigration Policy Survey indicate 77% of respondents selected network changes among their top actions in response to tariff impacts. [2] If the physical network is moving, the digital planning platform must move even faster. The environment is forcing decisions to be made faster, more frequently, and with more variables than ever before. Gartner says supply chain decisions are becoming 71% more complex, happening 52% more frequently, and need to be made 57% faster. That triple constraint cannot be accomplished with cadence-based batch planning cycles as a default operating model. This is why I am focused on a single, practical outcome for supply chain teams: accelerating decision velocity. The ability to move from data to insights to actions faster…

This post is written in partnership with Reuters Events: Supply Chain. Reuters Events connects the world’s most senior supply chain leaders through conferences, research, and digital content. Learn more: events.reutersevents.com/supply-chain/usa   When decisions cannot keep pace with change There is a moment most planning leaders recognise right now: A tariff announcement lands. A carrier pulls capacity. Demand accelerates faster than the forecast adjusts. The decision window compresses, and by the time there is confidence in the data, the cost of delay is already building. These pressures across supply chains are not new. What has changed is the speed at which conditions move underneath a decision, often faster than organisations are set up to respond. Customer expectations do not flex when supply does not. The cost of a wrong call, whether inventory in the wrong market, capacity committed too early, or service levels slipping before anyone flags them, compounds quickly. Most organisations have responded by investing. Better tools. More data. AI pilots. Network reviews. The core problem persists: decisions are still being made without full confidence. Planning and execution do not align when conditions change. In many cases, the issue is not disruption itself. It is how long organisations take to…