Survey Reveals Critical Supply Chain Preparedness Gaps Across Industries
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The signal
A new survey conducted by ERP Today reveals significant preparedness gaps in supply chain operations across multiple industries and geographies. The research identifies critical deficiencies in how organizations are planning for, monitoring, and responding to supply chain disruptions. These gaps span across ERP system capabilities, demand forecasting accuracy, supplier visibility, and business continuity planning—areas that have become increasingly essential in today's volatile operating environment.
The findings underscore a troubling disconnect between the complexity of modern supply chains and organizations' actual readiness to manage them. Many companies appear to lack adequate visibility into their extended networks, struggle with real-time data integration, and have incomplete contingency plans for major disruptions. This creates compounding risk: as supply chains become more interconnected and geographically dispersed, the consequences of inadequate preparedness multiply rapidly.
For supply chain professionals, this survey serves as both a warning and a call to action. Organizations that fail to address these preparedness gaps face heightened exposure to demand shocks, supplier failures, logistics disruptions, and regulatory changes. The strategic imperative is clear: investment in ERP modernization, supply chain visibility platforms, scenario planning capabilities, and cross-functional resilience programs is no longer optional but essential for competitive survival.
Frequently Asked Questions
What This Means for Your Supply Chain
What if 30% of suppliers suddenly become unavailable?
Simulate an unplanned 60-day disruption affecting 30% of your supplier base across key commodity categories. Model the impact on production schedules, inventory depletion rates, and demand fulfillment under current preparedness levels.
Run this scenarioWhat if demand forecasting accuracy decreases by 25%?
Model the operational and financial impact of forecast error increasing from typical levels to 25% above baseline. Simulate effects on inventory levels, safety stock requirements, working capital, and service level targets.
Run this scenarioWhat if transportation costs increase 20% and lead times extend 2 weeks?
Simulate a combined shock: 20% increase in freight costs across all modes and 2-week extension in transit times globally. Model total cost of ownership impact, inventory carrying costs, and service level performance under reduced preparedness.
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