Two seafarers working on the deck of a cargo ship

INDUSTRIES → MARITIME

Intelligence for the People Who Move the World.

Certified talent is scarce, vessel and shore roles diverge, and digital plus decarbonization change the skills seafaring demands. DISHA connects vessel, port and route demand to qualified capability across a global operating network.

How can shipping, ports and maritime services manage scarce certified talent, vessel/shore capability and digital transformation across a global operating network?

Illustrative industry view — synthetic scenarios and examples until connected to your validated production data.

All industries →

Pain-Point → DISHA Solution Map

Select a pain point: root cause, DISHA intervention, workflow, data inputs and the measurable outcome open beneath.

Root cause

Officer-level supply lags demand in key ranks and markets

DISHA intervention

Competency-centric visibility of qualified supply worldwide

How it works

Vessel/port demand → competency model → qualified supply → coverage

Data inputs

Crew records, certification registries (governed)

Measurable outcome

Shortages visible by rank and market before manning slips (illustrative)

Industry Methodology

Voyages and port calls set the clock — the methodology keeps certification and crewing ahead of both.

Vessel/port/route demandWork & competency modelQualified supplyReadiness/constraintsCrew/staffing planDeployPerformance/learning

The universal loop — the same in every industry

DiscoverModelDiagnosePrioritizeInterveneMeasureLearn

The universal loop runs continuously — every voyage feeds competency evidence back.

Maritime Capability Network

Choose the vessel or port operation — competencies, certification status, availability and coverage re-compute on synthetic data.

Vessel / port operation

Plan rotation & rest rules into the crewing scenario

Capability network — Container fleet

Required competencies

Deck officers · engineering officers · ETOs

Certification status

STCW currency: 91% of onboard roles

Availability

Availability: tight for chief engineers

Coverage (illustrative)

64%

Mobility & development options

1. Sea-to-shore rotation for shore roles
2. Ranked mentoring for chief-engineer bench
3. Targeted recruitment with evidence check

Human authority

Statutory, safety-critical and voyage decisions remain with qualified humans

Illustrative scenario — synthetic data. Safety-critical and statutory decisions remain under qualified human authority; rotation and location data are used under explicit permissions only.

A dockworker in safety gear standing by a cargo ship in a harbor

WHY DISHA HERE

One Competency Graph From Vessel to Shore

DISHA's value in Maritime is connection: vessel, port and shore capability in one graph where permitted — certification-centric readiness, rotation-aware scenarios, and digital/decarbonization transitions planned for the people who sail and berth your cargo.

See Credentialing

Integration With Your Maritime Stack

DISHA overlays your existing systems — vessel and port operational systems connect only through governed interfaces.

Crew management systemsHRIS/HCM & maritime recruitmentSTCW/certification repositoriesLearning & simulator platformsVessel/port operational systems (governed interfaces)Fleet/maintenance/project systemsBI/data lake & APIs

Systems of record / operational systems

APIs, events or governed data pipelines

DISHA data & knowledge layer

Intelligence/AI

Existing workflow or DISHA UI

Human decision

Outcome feedback

Adoption Options

Overlay first; embedded intelligence inside existing applications; module-by-module adoption; and a broader end-to-end workforce intelligence layer when the organization is ready.

Overlay

DISHA reads governed data and adds intelligence without replacing the system of record — typical first use: workforce planning / capability mapping

Embedded

DISHA insight appears inside an existing workflow — typical first use: ATS, HCM, WFM, project, operations or training workflow

Module-by-module

Selected DISHA capabilities activated independently — typical first use: skills, readiness, learning, mobility, analytics

Full intelligence layer

Multiple intelligence modules share a common human-capital model — typical first use: enterprise transformation

Full platform

The complete Human Capital Operating System — strategic transformation

Role-Based Value

Shipowner/Operator CEO

Decision: Where does certified-crew risk threaten operations?

Data: Fleet capability coverage, certification risk

DISHA: Evidence → scenario → decision

Outcome: Operations planned on real crew readiness

Fleet Manager

Decision: Can every vessel sail fully and competently crewed?

Data: Vessel-role competency coverage

DISHA: Crewing scenarios

Outcome: Sailing schedules met with qualified crews

Marine HR

Decision: How do we compete for scarce officers?

Data: Market supply, pipeline health

DISHA: Planning + development

Outcome: Pipelines that outlast the shortage

Crewing Manager

Decision: Who is certified, available and rested for this rotation?

Data: Certification status, availability, rotation state

DISHA: Matching + readiness

Outcome: Rotations filled without compliance gambles

Port HR/Operations

Decision: Do port teams hold the capability the terminal demands?

Data: Port capability map

DISHA: Readiness + training

Outcome: Terminal operations with evidenced capability

Safety/Compliance

Decision: Is every statutory requirement evidenced per person?

Data: Certification currency, audit trail

DISHA: Credentialing + evidence

Outcome: Audits passed on records, not memory

Training/SIM Centre

Decision: Does simulator training convert to competency at sea?

Data: Training-to-competency conversion

DISHA: Learning pathways

Outcome: Sim time spent where it moves readiness

Technical/Engineering

Decision: Are engineers ready for new fuels and automated systems?

Data: Technology-transition skill coverage

DISHA: Reskilling + readiness

Outcome: Transitions crewed by prepared engineers

Sustainability/Decarbonization

Decision: Where will the green-skills gap bite first?

Data: Decarbonization skill map

DISHA: Forecasting + pathways

Outcome: Decarbonization with people, not just fuel

Tangible Business Outcomes & Measurement

Every outcome is a measured KPI with a baseline, target, measurement period, data source and owner. Illustrative figures below are placeholders for YOUR data — never promised improvements.

KPI	Baseline → Target (illustrative)	Period · Source · Owner
Certification currency (statutory roles)	90% → 99% (illustrative)	Monthly · STCW registries · Owner: Compliance
Vessel-role competency coverage	55% → 82% (illustrative)	Quarterly · Competency graph · Owner: Fleet
Sea-to-shore mobility placements	18 → 40/yr (illustrative)	Annual · Mobility · Owner: Marine HR
Decarbonization-readiness (trained crews)	22% → 55% (illustrative)	Per retrofit · Training data · Owner: Sustainability

Illustrative scenario shown in the product demo — real figures come from your connected, validated data with published measurement definitions.

Sailors in uniform managing a commercial ship docked at a harbor

THE HUMAN LAYER

Global Trade Moves on Qualified Crews

Certification, sea-time and rotation discipline keep vessels moving and ports working. Workforce intelligence maps the certified people behind every voyage — with safety-critical and statutory decisions held by qualified humans.

AI & Agent Architecture

Industry intelligence agent

Maritime demand, manning trends and operating context

Inputs: Licensed market data, sector corpora

Demand outlooks · Human: strategy approves

Skills/capability agent

Maps vessel/port work to competency and certification models

Inputs: Crew records, certification data (governed)

Capability map · Human: crewing review

Readiness agent

Explains certification, sea-time and availability readiness

Inputs: Certification registries, rotation data

Readiness view · Human: manager review

Matching/staffing agent

Finds crew, shore or development options against explicit rules

Inputs: Capability graph, eligibility rules

Options list · Human: crewing decides

Scenario agent

Compares crew development, mobility, training or external staffing

Inputs: Scenario configs, workforce model

Compared options · Human: leaders choose

Executive briefing agent

Traceable capability summaries for fleet reviews

Inputs: Aggregate insights, provenance

Briefing pack · Human: leaders decide

Governance agent

Enforces scope, evidence and statutory boundaries

Inputs: Audit logs, policies

Compliance trail · Human: governance sign-off

Governance, Security & Responsible Intelligence

RBAC, least privilege and tenant/data isolation

Encryption, purpose limitation and data minimization

Location and rotation data used under explicit permissions — never surveillance

Provenance and correction/appeal paths on every output

Retention controls with auditable human oversight

Observed evidence, inference, forecast, scenario and recommendation kept distinct

Synthetic/illustrative demo data unless validated data is connected

Safety-critical and statutory decisions remain under qualified human authority

No unsupported ROI, certification, regulatory or safety claims

CONCEPT FILM

Certified. Rested. Ready. — Maritime

90–120s · reserved film slot

0–15s: A sailing schedule meets a certification reality15–45s: Competencies and sea-time made visible45–80s: Crew, train or staff — options compared80–110s: Rotation-aware plans, human decisions110–120s: World trade moved by qualified people

Move the world on crews who are ready — and can prove it.

Where This Connects

Canonical pillars — the concepts beneath

Solutions most used in this industry

Research & Resources

External references for context — attributed to their sources; not proof of DISHA outcomes.

IMO — Maritime Labour Convention & human element ↗International Chamber of Shipping — Maritime Workforce ↗UNCTAD — Review of Maritime Transport ↗

The People Who Move the World, Made Visible

Run the industry simulation, explore integration architecture, build a discovery brief — or talk to an expert about a technical workshop and API architecture review.

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