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Yard Copilot : Operational Intelligence
AI Decision Support + Workflow Orchestration
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From Dashboards to Decisions
Designed and built as a zero-to-one AI-native platform concept, Yard Copilot explores how supply chain control towers can evolve from visibility tools into decision-support systems. The goal was to move beyond monitoring and create an experience that identifies the signals that matter, surfaces risk proactively, prioritizes action, and helps operators make faster, higher-confidence decisions without increasing cognitive load.
Every interaction is designed to balance automation with human judgment—ensuring AI works in the background while users stay in control.
The result is a live, interactive prototype that demonstrates how complex logistics environments can become clearer, faster, and more actionable through intentional product design.
This project featured: Vision, Strategy, AI Interaction Design, Systems Architecture, Prototyping, UX/UI, Data & KPI Definition.
Impact & Design Outcomes
Transforms visibility into action by shifting from passive dashboards to real-time, AI-supported decision systems
Reduces cognitive load for operators by prioritizing risk, surfacing next-best actions, and keeping AI in the background
Accelerates operational response time through continuous activity monitoring and integrated recommendations
Creates a scalable interaction model for AI in operations, balancing automation with human control and trust
Unifies fragmented data into a cohesive system, aligning KPIs, risk signals, and execution workflows in one environment.
Guided walkthrough available upon request
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