Custom Solutions, Built for Your Operations.​

Every port, terminal, and inland operator works differently.

PortXchange can design custom digital solutions that fit into how you already work.

PortXchange’s Custom Digital Solutions – including AI and machine learning-based programs – are built around the real constraints, systems, and data maturity of each port or barge operation. The result is a unique tool that adapts to a team’s method of operations – not the other way around. 

With a team combining former port professionals, captains, developers, and data scientists, PortXchange understands maritime operations from the inside out, adding the ability for professional-level consultation and implementation of these custom-built solutions. 

HOW IT WORKS

The PortXchange team begins by examining the already existing data of a port or barge, the systems in use, and the decisions or requirements of the current operational strategies. From there, they design and build a solution addressing the current and specific needs or operational challenges at hand, integrating seamlessly into existing workflows, and delivering measurable results.

Our process:
• Understand
We map your operational reality: your data sources, systems, workflows, and where the friction is costing you most.
• Design
We build a solution around your constraints — not a generic platform configured to approximate them.
• Deploy
Solutions are delivered via API or direct integration, designed to work within your existing tools and procedures with minimal disruption.
• Improve
As the solution is used, data quality improves, outputs sharpen, and operational decisions become more confident over time.

CAPABILITIES

Depending on the unique operational challenge, a custom PortXchange solution might include:
Tow Composition & Optimisation 

PortXchange can develop custom tow optimisation tools that go beyond identifying the most efficient load – accounting for barge geometry, draft, fleet configuration, and port-specific constraints to ensure each tow is assembled for maximum throughput and operational practicality.

Delivery & Transit Efficiency 

The PortXchange team works closely with operators to identify and eliminate inefficiencies in cargo delivery workflows — reducing dwell time, improving turnaround, and ensuring each leg of the journey is sequenced to meet commercial and operational commitments.

Personnel & Resource Planning 

Effective fleet operations depend as much on the people behind them as the vessels themselves. PortXchange can develop custom personnel planning tools that optimise crew routing, prevent repeated assignments on the same runs, and ensure the right teams are matched to the right tasks — supporting both operational continuity and workforce wellbeing.

Climate Risk & Port Resiliency Modelling 

Rising sea levels and shifting weather patterns present long-term structural challenges for port infrastructure and operations. We can develop port-specific climate models that help operators and planners understand how projected environmental changes may affect their facilities — supporting infrastructure investment decisions, contingency planning, and long-term resiliency strategies.

Extreme Weather & Water Level Tracking 

Unforeseeable weather events are among the most disruptive forces in inland and coastal operations. PortXchange can integrate real-time extreme weather monitoring and water level tracking directly into your planning environment — enabling your team to anticipate delays, adjust routing proactively, and reduce the operational and commercial impact of adverse conditions before they cascade down the delivery chain.

Custom Operational Dashboards & Workflow Automation 

Every port operation has its own rhythms, reporting requirements, and internal processes. We design bespoke dashboards and automation tools that digitise repetitive manual workflows, surface the right data to the right teams, and support clearer decision-making at every level of the organisation — tailored entirely to your operational structure, not a standardised template.

CASE STUDY: ETAPREDICTOR

The Problem

A leading barge operator was managing a large, complex inland fleet with vessels moving continuously across an extensive waterway network. With thousands of barges in operation at any given time, accurately predicting when each vessel would arrive was nearly impossible using existing methods.

Static ETAs — generated at departure and rarely updated — were regularly off by days. The consequences cascaded across the operation: towboats idled waiting for barges that weren’t ready, workforces sat underutilised, cargo owners missed production windows, and last-minute tow rebuilds added cost and disruption. The operator knew the problem was costing them in productivity, customer satisfaction, and commercial opportunity.

The Solution

The operator came to PortXchange with a clear brief: improve utilisation rates and operational productivity, with a solution that was fully interoperable and integrable into established workflows.

PortXchange developed ETAPredictor — an AI-based predictive engine delivered via API that continuously recalculates vessel ETAs as conditions change. Rather than generating a single static estimate, ETAPredictor draws on vessel-level data including size, cargo, and historical performance, as well as broader network conditions, to produce dynamic, real-time arrival predictions that update automatically throughout each voyage.

The solution required no replacement of existing systems. It integrated directly into the operator’s planning and dispatch infrastructure, delivering automated ETA updates at scale from day one.

The Results

Within six months of deployment:

  • ETA prediction error reduced by over 50%
  • Approximately 10,000 automated ETA updates processed per day
  • Idle time and last-minute tow rebuilds measurably reduced
  • Asset utilisation improved across the fleet
  • Customer satisfaction increased through reliable, dynamic delivery windows
 

The long-voyage ETA errors that had been accepted as normal — sometimes stretching to ±10 days — were eliminated. Planning became proactive rather than reactive, and the operational data generated through daily use continues to improve prediction accuracy over time.

LET’S TALK

Tell us about your operational challenge and we will tell you honestly whether we can help — and what that might look like in practice.