Prioritize modular, architecture
Build connected execution without rip-and-replace cycles.
Supply chain execution is the new competitive edge
Organizations agree: competitive advantage now comes from fast, connected, intelligent execution, not isolated systems or static planning
Are supply chains ready for the AI era?
Modern supply chains face increasing volatility: disruptions, delays, rising costs and missed commitments are now the norm rather than the exception. The research reveals a clear gap between what leaders know must change and what current execution environments can support.
Key findings
INSIGHT 1
Execution is now the #1 source of supply chain advantage
79% of leaders say competitive advantage comes from fast, dynamic execution vs. traditional planning.
Top investment drivers:
- 72% - Operational efficiency
- 54% - Cost reduction
- 47% - Business growth
Execution is where performance breaks and where value is unlocked.
INSIGHT 2
Execution breakdowns are widespread and systemic
Top sources of inefficiency:
- 58% – Manual workflows
- 46% – Lack of automation
- 37% – Fragmented data and no end-to-end visibility
- 37% – Misalignment between inventory, orders & transportation
Execution is where performance breaks and where value is unlocked.
“Only 20% of companies have real time visibility across execution. Most organizations still react to issues instead of anticipating them.”
INSIGHT 3
Technology architecture is the #1 barrier to progress
Modernization is not failing due to lack of budget but due to outdated systems.
Top barriers:
- 69% – Data quality & integration complexit
- 63% – Legacy systems & technical debt
- 52% – Budget constraints
INSIGHT 4
AI ambition is high, but execution reality lags behind
Interest in artificial intelligence is high across supply chain organizations, but survey results show a clear gap between ambition and real-world impact.
AI adoption status:
- 23% – Implemented in select workflows
- 41% – In pilots / proof of concept
- 30% – Exploring applications
- 6% – Not at all
Top barriers to scaling AI:
- 25% – Heavy manual processes
- 21% – Unclear ROI
- 15% – Difficulty scaling beyond pilots
What leaders need to do next
Deploy AI directly into execution workflows
Even with imperfect data, operational AI learns and improves over time.
Partner with providers proven in real-world execution
AI must drive decisions and action across OMS, WMS and TMS.
Get the complete 16 page research report,
including industry breakdowns and recommendations.