Optimizing supply chain performance with Digital Decision-Making
Published Wednesday February 18, 2026Many facilities still operate well below their design efficiency, constrained by bottlenecks, hidden system interactions, and limited real-time visibility. According to our recent surveys, overall operational effectiveness across supply-chain facilities can range from as low as 20 percent to over 80 percent. What drives that gap? Why do some operations consistently perform at a high level while others struggle to keep up? The answer is Digital Decision-Making.
What is Digital Decision-Making?
Digital Decision-Making is the practice of leveraging digital twins and unified operational data to make informed decisions through simulation before implementation. Rather than relying on guesswork or reacting after issues occur, organizations use connected system and equipment data to evaluate scenarios virtually and determine the most effective course of action in advance.
By transforming real-time operational data into AI-powered dashboards, teams can make performance issues instantly visible and actionable. Using digital simulation and agentic AI, they can troubleshoot and optimize processes before making physical changes, augmenting on-the-floor expertise, reducing reliance on individual domain knowledge, and improving Overall Operational Effectiveness (OOE) across supply-chain operations.
Digital Decision-Making across industries:
- Lightweight Simulation: Evaluated and compared product packaging in hours instead of days, accelerating development cycles and optimizing material usage.
- Dock Door Optimization: Reduced idle time and interleaving congestion from 22.6 to 34.4 pallets per hour (51.7% increase) by redesigning dock operations, without adding doors, people, or equipment, and validating changes virtually before implementation.
- Conveyor Bridging: Eliminated line disruption that cost operations $125k per week by redesigning flow and preventing bridging before making physical changes.
- Operational Digital Twin: Deployed a real-time AI-powered digital twin of the production line to instantly pinpoint performance issues, identify root causes, and accelerate diagnoses, boosting uptime by over 10%+ and generating nearly $4M in additional annual revenue.
If you’re interested in exploring how Digital Decision-Making can support your manufacturing or supply-chain initiatives, visit our contact page to get started.
