P49 · Representative solution case · Ports / Maritime / Logistics

Ports, Shipping & Intermodal Digital Twin

Which port decisions still require teams to reconcile multiple screens and spreadsheets before acting?

Evidence distinction: this is a representative solution case constructed from the source requirements and Mappls delivery pattern. It is not presented as a named-customer outcome unless a separate verified customer story is explicitly linked.

01 · Operating context

The decision environment and the problem to change

Berth, vessel, yard, rail, truck and asset information is fragmented, constraining common situational awareness and throughput decisions.

Primary operating owner

Port Operations; Marine; Terminal; Logistics

Economic decision

Chairman/MD; COO

Technical influence

PCS/ERP; GIS; VTS/AIS; Terminal Systems

Why action becomes urgent

Port modernisation, digital twin/PCS upgrade, congestion, new terminal, safety event, logistics visibility programme.

02 · Before and after

Change the operating model, not only the interface

Before Mappls

Fragmented context and delayed action

Berth, vessel, yard, rail, truck and asset information is fragmented, constraining common situational awareness and throughput decisions.

  • Location, operational and enterprise data remain separated
  • Stakeholders make inconsistent decisions from partial context
  • Exceptions are found late and evidence is difficult to reconstruct
With Mappls

A governed location-aware decision loop

Port digital twin, nautical/bathymetry layers, AIS/vessel tracks, berth and yard views, rail/truck ETA, asset GIS, alerts and analytics.

  • One role-aware workspace in Mappls Digital Twin Command
  • Live context moves directly into the responsible workflow
  • Every decision, scenario and outcome can be measured and audited

03 · Stakeholder experience

One shared system, different role moments

Own and govern

Port Operations

Own and govern

Marine

Decide and coordinate

Terminal

Decide and coordinate

Logistics

Decide and coordinate

Chairman/MD

Execute and verify

COO

Execute and verify

PCS/ERP

Execute and verify

GIS

Inside Mappls Pro, the same user can hold this role here and a different role in another application. Membership, saved runs and administration remain app-specific.

04 · Day-in-the-life journey

How the solution turns information into an operational result

01

Frame the operating decision

Which vessel/berth/yard/rail/truck feeds exist? What throughput and dwell baselines matter?

02

Connect the location foundation

Bring the required map, address, road, place, imagery, asset, customer and operational data into a governed Digital Twin workspace.

03

Act through role workflows

Live twin, Assets, Incidents, Simulation, Work orders give each stakeholder the information, decision and action appropriate to their role.

04

Prove the intervention

One terminal/use-case pilot integrating selected live feeds, 2D/3D view and exception workflow.

05

Scale and continuously improve

Operationalise the model through Platform licence + data/integration + managed updates/O&M., adoption governance, service measurement and a managed improvement backlog.

05 · Solution and data architecture

The Mappls capabilities behind the experience

Location foundation

Map, address, place, route, imagery, boundary and context layers

Operational context

Customer, asset, order, sensor, incident, task or transaction records

Application workflow

Live twin · Assets · Incidents · Simulation · Work orders

Outcome loop

Feed integration and spatial accuracy accepted; target decision/throughput KPI improves; governance agreed.

2D/3D Digital Twin

Operational 2D/3D spatial layer linked to live and enterprise data

Product details

Asset & Personal Trackers

Battery/portable/asset location and alert devices

Product details

Mappls Pin / Digital Address

Compact digital location identity and address workflows

Product details

ClarityX Location Analytics

Market, territory, network and spatial decision analytics

Product details

06 · Outcome and evidence

Make the value claim measurable before scaling

Value hypothesisHigher berth/yard/rail throughput; lower waiting/dwell; better safety and capex/maintenance decisions.
Success criteriaFeed integration and spatial accuracy accepted; target decision/throughput KPI improves; governance agreed.

Bounded proof

One terminal/use-case pilot integrating selected live feeds, 2D/3D view and exception workflow.

  • Confirm the baseline and decision scope: Which vessel/berth/yard/rail/truck feeds exist? What throughput and dwell baselines matter?
  • Use representative and, where approved, customer data in the configured workspace
  • Review measurable success with the operating and economic owners: Feed integration and spatial accuracy accepted; target decision/throughput KPI improves; governance agreed.
  • Document data quality, adoption, security, service and scale findings
  • Convert evidence into a phased production scope and accountable value plan

07 · Governance and scale

Operate the solution safely and sustainably

Identity and access

Server-enforced identity, least-privilege app membership, role-specific actions and auditable administration.

Data governance

Source lineage, quality thresholds, update cadence, retention, consent and controlled data sharing.

Operating governance

Named process owners, exception SLAs, escalation, change control and adoption measurement.

Value governance

Baseline, intervention and outcome metrics reviewed on an agreed cadence with accountable owners.

Your outcome, powered by Mappls

Put Ports, Shipping & Intermodal Digital Twin into your operating context

Bring the baseline, workflow, users, data and success criteria. Mappls will shape a bounded proof and production path.

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