Over the past several years, supply chain teams have increased investment in new technologies aimed at improving forecasting, visibility, and operational efficiency. Many organizations have expanded analytics capabilities, moved infrastructure to the cloud, or begun experimenting with artificial intelligence and automation. Yet much of this activity reflects exploration rather than mature adoption, and many organizations still lack dedicated supply chain planning solutions.
On paper, the industry appears to be focused on modernization, yet the results tell a more complicated story.
According to Blue Ridge’s new 2026 State of the Supply Chain Industry Report, supply chain leaders are beginning to see measurable improvements in key operational metrics, but many organizations have only achieved modest, incremental improvements.
Worse, these improvements rarely translate into the kind of performance breakthroughs organizations expected when they began investing in modernization initiatives. Instead, performance gains often stall before meaningfully improving service levels, inventory efficiency, costs, or other key supply chain metrics.
Progress Without Transformation
The survey results illustrate the pattern clearly. For example, 76% of supply chain leaders report that forecast accuracy improved over the past year. Yet most organizations continue to operate within a relatively narrow accuracy range, suggesting that many teams are improving results without fundamentally changing how planning works.
However, a closer look reveals that most organizations are operating within a relatively tight performance range. The majority report forecast accuracy between 81% and 90%, while only about one quarter exceed the 90% threshold typically associated with highly advanced planning environments. These findings suggest that while improvements are occurring, they are happening within structural limits.
Many organizations are improving results by refining existing processes, manually adjusting forecasts, or layering analytics onto legacy planning environments. While these changes can produce steady progress, they often rely on manual efforts and are difficult to scale. As a result, organizations frequently improve results within the same planning structure rather than fundamentally changing it.
See the Full Research
This analysis draws on data from the Blue Ridge 2026 State of the Supply Chain Industry Report, which surveyed 230 supply chain leaders across manufacturing, distribution, and retail. See the complete research and industry benchmarks.
The Planning–Execution Disconnect
One reason for this plateau lies in how forecasting connects to operational execution. More accurate forecasts are valuable, but they only create real impact when they translate into timely decisions about purchasing, production, allocation, and replenishment. In many organizations, that connection remains weak.
Despite operating in volatile and disruption-prone environments, many supply chains still revisit forecasts on relatively slow planning cycles. Only 23% of surveyed respondents report continuously reviewing and adjusting forecasts, while most update them monthly or even quarterly. When planning operates on these longer cycles, organizations often find themselves reacting to demand shifts or supplier delays after they occur rather than adjusting plans as conditions change.
Technology plays a role in this constraint. While most organizations have invested in planning tools, many still rely heavily on ERP modules or spreadsheets to manage forecasting and planning activities. These systems function well as systems of record, but they are not designed to detect emerging demand patterns, automate replanning, or coordinate decisions across complex supply chain networks.
The result is a planning environment where forecasting and planning activities rely on tools that were not designed to support modern supply chain decision-making. ERP modules and spreadsheets serve primarily as systems of record, but they lack the capabilities required for continuous forecasting, inventory planning, and rapid adjustment as conditions change. As a result, organizations often struggle to translate planning efforts into stronger service levels, inventory performance, or cost outcomes.
When Volatility Tests Planning Systems
The limitations of traditional planning models become especially visible during periods of volatility. Seasonal demand spikes, supplier disruptions, and sudden shifts in customer behavior all place pressure on supply chain systems that rely on periodic planning updates.
Survey respondents identified supplier lead-time variability as the most significant seasonal challenge, followed closely by stockouts during periods of high demand. Both issues reflect the same underlying constraint: supply chains often struggle to update plans quickly enough when conditions change.
When planning cycles are slow, teams frequently discover problems only after they have begun to affect service performance or inventory levels. Forecast improvements may raise average accuracy over time, but those averages can conceal significant variation across products, locations, and time periods.
This helps explain why many organizations report steady improvements in metrics such as forecast accuracy and service levels while still experiencing operational strain during peak periods or disruptions. Improving averages alone does not prevent the disruptions that matter most.
Investment Is Not the Issue
It’s important to note that the challenge facing supply chain teams is not a lack of technology investment. If anything, the opposite is true.
Blue Ridge research shows that technology adoption is nearly universal across the industry. Only 1% of survey respondents reported adopting none of the digital capabilities included in the survey over the past year. However, many of these investments focus on tools adjacent to supply chain planning, such as analytics platforms, automation tools, cloud infrastructure, and emerging AI capabilities. In many cases, organizations are expanding their technology stacks without a clearly aligned strategy for improving forecasting, inventory planning, or operational performance.
This widespread adoption reflects a clear industry consensus: operating with outdated systems in a volatile environment creates competitive risk.
However, technology adoption alone does not guarantee better outcomes. Without processes that integrate these tools into everyday planning and decision-making, new systems may add capability without materially changing how supply chains operate.
Turning Technology into Operational Impact
Taken together, the findings suggest that the next phase of supply chain progress will depend less on acquiring new technology and more on how effectively organizations use the tools they already have.
For years, transformation strategies focused on what systems companies should implement. Today the landscape is mixed. Some organizations have adopted newer technology platforms but struggle to operationalize them, while many others continue to rely on spreadsheets, homegrown tools, or older systems for planning and inventory management.
Closing that gap will require changes in how planning itself operates. Faster planning cycles, stronger data governance, and systems that continuously integrate new demand and supply information will become increasingly important. Organizations that better connect forecasting, planning, and execution will be positioned to translate improved accuracy into stronger service levels, healthier inventory, and lower operating costs.
For supply chain leaders, the message is increasingly clear. The tools to improve performance already exist. The challenge now is ensuring those tools shape day-to-day decisions in ways that consistently improve service, inventory, and cost outcomes.
In the next blog in this series, we examine how slow planning cycles contribute to execution breakdowns and why many supply chains struggle to keep pace with volatility.
To explore the full findings, download the Blue Ridge 2026 State of the Supply Chain Industry Report, which examines forecasting performance, technology adoption, and the operational challenges shaping supply chains today.
