AI-Enhanced Dock Operations Dashboard-Logistics Facility Modernization
Client: Multi-site warehousing & logistics operations
Brief:
Replaced a manual whiteboard-based tracking process for inbound and outbound deliveries with an AI-enabled dashboard capable of live updates, predictive scheduling, and role-based visibility.
Key Objectives:
Identify site-specific data needs for inbound/outbound monitoring.
Ensure real-time accuracy to reduce process delays and human error.
Incorporate predictive insights and alerts to optimize dock utilization.
Process & Responsibilities:
Conducted multi-site user interviews and usability testing to uncover role-specific needs and workflow bottlenecks.
Partnered with data science teams to integrate AI capabilities for ETA predictions and anomaly detection.
Designed and iterated a dashboard interface to improve usability, accessibility, and operational insight.
Facilitated adoption through training and change management strategies.
Outcome:
Eliminated manual whiteboard tracking, reducing human error by 90%.
Improved real-time decision-making with predictive AI-driven updates.
Increased operational productivity by 100% across tested facilities.
