Despite years of digital transformation talk, a new Log-hub study finds most companies still rely on spreadsheets and fragmented tools to run global operations. As volatility grows, the divide between data-driven leaders and lagging organizations is widening fast.
Slow Digital Progress Leaves Supply Chains Fragmented
Only 30% of organizations have fully integrated supply chain standards company-wide, while 20% admit to having no defined process at all, according to Log-hub’s 2025 Supply Chain Network Design Maturity Assessment. The findings show that while digital transformation remains a strategic goal, most companies remain stuck in operational silos.
Just one in four companies have centralized optimization teams; the rest operate through semi-coordinated functions or regional silos. Even as 46% of respondents report a global footprint in five or more countries, their average volatility score sits at six out of ten, evidence of ongoing instability. Most continue to depend on Excel spreadsheets or partially integrated tools to model, plan, and manage supply chain performance.
Visibility, Data Quality, and Organizational Barriers Persist
When asked about their biggest obstacles, 70% of companies pointed to poor end-to-end visibility, followed by data quality issues such as missing or inconsistent information (65%). Organizational barriers, ranging from fragmented decision-making to lack of process ownership, ranked third at 50%.
Still, 60% of surveyed firms are investing in supplier diversification and nearshoring initiatives to strengthen resilience. This shift aligns with broader industry patterns: recent trade data shows manufacturers are reducing exposure to single-region dependencies, with notable investments across Mexico, Eastern Europe, and India. However, without integrated data systems, these moves risk producing new inefficiencies rather than eliminating old ones.
From Data Literacy to Decision Velocity
The next inflection point for supply chain digitization won’t hinge on new tools, but on how quickly organizations can translate data into coordinated action. Recent industry research shows that companies with integrated data governance frameworks make operational decisions up to 40% faster than those without them. As generative AI platforms begin linking forecasting, sourcing, and logistics data in real time, spreadsheet-heavy operations risk being outpaced not by scale, but by speed of response, a metric that’s fast becoming the new standard of resilience.
