Business area digitalisation analysis

Digitalisation of terminals, ports and logistics infrastructure

How to better manage arrivals, time windows, gates, yard, handling operations, equipment and infrastructure throughput

Digital maturity

Typical digital maturity

Shows the level of technological and process digitalisation at which companies in the sector or business area typically operate today.

A typical market situation is assessed, not the most advanced companies.

The assessment consists of five equally weighted dimensions:

Core system usage
Whether ERP, CRM, WMS, MES, customer portals or other operationally important systems are widespread in companies.
Process digitalisation
How many core processes run in systems and how many are still managed manually.
Systems integration
Whether core systems exchange data between themselves or whether employees transfer information manually.
Data quality and readiness
Whether core data is structured, up-to-date, consistent and suitable for automation and analytics.
Advanced data use
Whether real-time analytics, forecasting, automated alerts, optimisation models or AI are used.

The final score is the average of the five dimensions.

1–5 scale

  • 1 very low maturity
  • 2 low maturity
  • 3 medium maturity
  • 4 high maturity
  • 5 very high maturity

A low maturity score does not necessarily indicate low potential. On the contrary, low maturity and a high level of manual work may indicate significant untapped digitalisation value.

medium
Skaitmenizacijos potencialas

Digitalisation potential

Shows how much significant business value a typical sector or business area company can create by systematically digitalising core processes.

The rating is calculated on a 100-point scale across five dimensions:

Process frequency and scale 20 %
An assessment of how frequently the digitalised processes recur and what proportion of operations they represent.
Manual work intensity 20 %
An assessment of the extent to which processes depend on email, telephone, Excel, paper documents and repeated data entry.
Impact on revenue and costs 25 %
An assessment of the potential effect on sales, margin, customer retention, administrative costs, errors, downtime or inventory.
Growth and scale potential 20 %
An assessment of whether digitalisation would enable operational capacity to be increased without expanding headcount and costs at the same rate.
Impact on decisions and risk 15 %
An assessment of the potential effect on data reliability, decision-making speed, customer experience, and the reduction of errors and operational risk.

The final score is calculated according to the assessments and weights of all dimensions.

100-point scale

  • 0–20 very low potential
  • 21–40 low potential
  • 41–60 moderate potential
  • 61–80 high potential
  • 81–100 very high potential

A high score does not mean the solution will be easy to implement. It indicates the size of the potential value, not the implementation complexity.

88/100
Biggest challenge
Terminal capacity and time windows are managed in a fragmented way
Biggest opportunity
Data-driven infrastructure throughput

The greatest result is created not by a separate smart gate solution, but by a consistent arrival, loading and departure process that actually increases terminal throughput.

How terminal, port and logistics infrastructure operations work

The business area encompasses sea and inland ports, intermodal, container, bulk and other cargo terminals. The main challenge is to safely coordinate limited berth, gate, yard, rail, loading and equipment capacity.

Limited and expensive physical capacity

Berths, gates, yards and loading equipment must be utilised very precisely.

Many independent parties

Ships, trains, lorries, agents, customs and the terminal must exchange the same information.

Critical safety and business continuity

A system failure can stop flow or cause a safety risk.

High volume of real-time events

Every arrival, gate passage, transfer and loading changes the overall plan.

Market and technology context

Vessel arrival and service optimisation, smart gates, standardised cargo events, digital models and automated equipment are transforming infrastructure management. Value depends on reliable partner and terminal data connectivity.

  • Greater flow volatilityArrival time and readiness change frequently, requiring the plan to be recalculated in real time.
  • Need to increase existing asset throughputNew infrastructure is expensive, making better use of berths, gates and equipment important.
  • Standardisation of partner dataCommon vessel arrival, service and cargo event data models reduce the number of individual integrations.
  • Safety and sustainability pressureLess waiting, empty movement and engine running reduce risk and emissions.

Typical operating chain

01

Arrival and capacity reservation

A vessel, train, truck, time window, berth or handling capacity is planned.

02

Document and permit verification

Cargo, transport, customs, safety and access data are checked.

03

Gate and entry process

Transport, driver, cargo are identified and movement instructions are provided.

04

Yard and handling management

Locations, equipment, workers and handling tasks are assigned.

05

Cargo event and exception management

Location, status, damages, delays and partner actions are recorded.

06

Departure, service accounting and analysis

Departure is confirmed, services are calculated and throughput is assessed.

Digital maturity model

0

Arrivals and loading work are coordinated by telephone and paper

Time slots, gates, yard, cargo status and service accounting depend on separate teams.

1

Separate gate, security and terminal systems

Core events are recorded digitally, but partner data and the operational plan are not integrated.

2

Individual terminal flows digitised

Time slots or smart gates are in operation, but arrival, loading task, equipment and invoice are only partially linked.

3

Integrated arrival and loading process Typical current situation

Transport, cargo, time slot, gates, yard, loading task and key events are managed within a common process.

4

Real-time terminal capacity management Siektina

Arrivals, equipment, workforce and loading priorities are adjusted according to actual flows and safety limits.

5

Predictive and partially autonomous terminal

Flow models, video analysis and automated equipment help optimise throughput whilst maintaining human and safety control.

Key conclusion

Terminal or port throughput is often limited not only by physical infrastructure, but by delayed information about arrival, readiness, cargo and available equipment.

Arrival plan, gates, yard, loading tasks, cargo events and invoices must use the same objects and actual statuses.

It is advisable to first select one end-to-end flow, for example, a lorry arrival from reserved slot to departure, and connect all its statuses.

Related topics

Terminal operations systemTime slot and gate managementInfrastructure throughput analytics
Next step

Assessing where the most throughput is lost in terminal flow

The review will cover arrivals, time windows, gates, yard, loading operations, equipment, cargo statuses and service accounting, and will help select the first stage.