Infios’ latest Supply Chain Execution Readiness Report highlights how sharply that shift has accelerated. The study finds that nearly 79% of enterprises now view rapid, dynamic execution, not planning cycles or visibility dashboards, as the clearest path to competitive advantage. The findings echo patterns seen in recent logistics intelligence reports, where the execution gap is widening even among organizations that have invested heavily in data and tracking tools.
Execution Bottlenecks Persist Despite Rising Investment
Infios reports that 59% of organizations expect to increase spending on execution technologies over the next year, even as budgets tighten elsewhere. But the research surfaces a stubborn contradiction: while enterprises recognize execution as the differentiator, most lack the underlying capabilities to move at real-time speed.
Manual processes remain deeply entrenched. Fifty-eight percent of respondents point to human-driven workflows as their top inefficiency, and nearly half still lack automation for routine tasks. Only 20% say they have real-time visibility across their operational networks, a gap that, according to trade analyses, continues to undermine the impact of upstream planning tools and predictive models.
The shortfall mirrors patterns seen in FedEx’s recent Future of Logistics Intelligence Report, where just 18% of surveyed companies could consistently intervene when a delay began to develop. Visibility is no longer the gating factor; coordinated action is.
Most Organizations Still React Faster Than They Predict
The study shows that many companies continue to rely on delayed information and manual decision-making when disruptions hit. Only 6% of respondents say they use analytics or AI to trigger automated, prescriptive responses during major interruptions. The majority still operate in reactive mode, 51% responding to events as they unfold and 43% using technology primarily for predictive alerts that still require human intervention.
AI adoption reflects this early stage of maturity. Just 23% have introduced AI into select execution workflows, while 41% remain in pilot. That imbalance, strong belief in the value of automation but slow operational uptake, suggests execution modernization is now less about experimentation and more about clearing foundational bottlenecks in data, process design, and cross-system orchestration.
Where Real-Time Execution Is Quietly Redrawing the Talent Map
One area gaining attention in recent trade analyses is how real-time execution is beginning to reshape organizational skill demands. As more decisions shift to automated systems, teams are spending less time monitoring exceptions and more time configuring the logic that governs how those systems behave. Companies already experimenting with execution automation report that roles once centered on daily firefighting are evolving toward model tuning, scenario testing, and continuous process calibration. That shift, incremental but observable, suggests that improving execution isn’t only a technology initiative. It is also redefining the operational expertise needed to sustain faster, more synchronized networks.
