Smart Port Operations — HarborTech Solutions
Visual: berth schedule, yard heatmap, crane telemetry and container tracking (placeholder).
Client Overview
HarborTech Solutions provides digital transformation services for mid-sized ports and terminals. This engagement targeted improved berth utilization, faster container turnaround, and predictive equipment maintenance at a regional container terminal.
- Terminal throughput: 1.2M TEU annual (regional terminal)
- Assets: Quay cranes, RTGs, yard trucks
- Duration: 10 months (discovery → live ops)
Challenge
Bottlenecks in berth allocation, manual yard planning, and reactive maintenance caused delays and expensive demurrage. HarborTech needed an IoT + optimization stack to coordinate equipment, reduce dwell time, and prioritize maintenance efforts based on usage patterns and failure risk.
Solution — IoT + Yard Optimization
We delivered container-level tracking (RTLS), crane and RTG telemetry, berth scheduling optimization, and predictive maintenance for heavy equipment. The system included digital twins for yard simulation and a mobile app for yard operators to manage pickups and staging.
Core modules
- RTLS container tracking and yard heatmaps.
- Berth scheduler with optimization for tide & vessel windows.
- Predictive maintenance for cranes and yard equipment using vibration/usage signals.
- Yard operator app for quick staging and pickup coordination.
Approach
- Instrument key assets with telemetry and deploy RTLS for hotspots.
- Model yard flows and run simulation to identify choke points.
- Develop optimization for berth windows and yard block assignments.
- Deploy predictive maintenance and link to vendor SLAs and spares.
Technology stack
Implementation — Key Steps
Phase 1 — Discovery & Instrumentation (Weeks 1–8)
Map processes, install RTLS anchors in pilot yard zones and instrument cranes for telemetry.
Phase 2 — Simulation & Scheduler (Weeks 9–20)
Run digital-twin simulations to test berth scheduling and yard assignment strategies.
Phase 3 — Predictive Maintenance & Rollout (Weeks 21–36)
Deploy predictive maintenance, integrate with vendor workflows and expand RTLS coverage.
Impact & Results
18%
Improved berth utilization
25%
Reduction in container dwell time
30%
Lower crane-related downtime
6 months
Live benefits after pilot
Qualitative outcomes
- Operators could proactively stage containers and avoid long crane idle times.
- Predictive maintenance reduced emergency crane repairs and associated demurrage.
- Digital twin allowed safe testing of operational changes before live rollout.
Client Testimonial
Key Highlights & Learnings
- RTLS combined with simulation provides quick wins in reducing yard friction.
- Prioritize instrumentation of choke points — anchors deliver high visibility for minimal cost.
- Link optimization outputs to operator apps to ensure real-world adoption.