Business area digitalisation analysis

Livestock: digitalisation opportunities

How to connect individual animal profile, health, feeding, reproduction, environment, employee actions and production economics.

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.

92/100
Biggest challenge
Animal Identity, Health and Productivity History Are Fragmented
Biggest opportunity
Unified animal and herd decision cycle

Livestock digitalisation must reduce the time from biological change to appropriate human action, rather than merely increasing the volume of data collected.

Livestock operating model

The business area encompasses animal rearing, breeding, feeding, health and welfare care, production output and sale of animals or produce.

Continuous biological process

Animal care takes place daily and cannot be stopped during system or staff shortages.

High individual animal and group interaction

Decisions are made individually, but the impact of environment, feed and infections often affects the entire group.

Feed represents a substantial portion of the cost base

A minor change in ration, quality or feeding process has a significant overall financial impact.

Food safety and welfare are integrated into operations

Medicines, withdrawal periods, biosecurity, traceability and welfare signals cannot be separated from the daily process.

Market and technology context

EU livestock research and policy directions emphasise healthy, sustainable and resilient systems, precision livestock farming, data-driven management, animal welfare, feed efficiency and disease prevention. Digital infrastructure is becoming important both for work attractiveness and biological risk management.

  • Precision livestock farming developmentEU research and innovation directions emphasise sensors, decision support, digital technologies and resilient livestock systems.
  • Animal health, welfare and biosecurityEarly detection of signals and traceable actions are becoming important for productivity, societal expectations and disease risk.
  • Feed, labour and energy cost pressureFarms need to assess feed efficiency more accurately, automate routine tasks and reduce unproductive work.

Core Operating Process

01

Herd and reproduction planning

Managed animal groups, genetics, inseminations, pregnancy, births and herd replacement.

02

Feed and Environment Plan

Rations, feed stocks, groups, barn climate and welfare targets are established.

03

Daily Care and Production Output

Feeding, milking or rearing, cleaning, animal monitoring and production accounting are carried out.

04

Health, Treatment and Biosecurity

Alerts, examinations, diagnoses, treatments, medicines, withdrawal periods and results monitoring are recorded.

05

Movements and Sales

Animal movements, weight, quality, documents, buyers and batches of production or animals are managed.

06

Herd and Economic Analysis

Feed, productivity, health, reproduction, sales performance and animal group margin are evaluated.

Digital maturity path

0

Paper-based and individual experience-driven management

Animal events, treatments, reproduction and daily tasks are recorded on paper, boards or in separate employee notes.

1

Separate digital tools

Separate herd, milking, feeding or veterinary systems are used, but the worker has to search for information across multiple workplaces.

2

Core operations digitalised

Key animal events are recorded digitally, but alert verification, tasks and treatment outcomes are still often coordinated verbally.

3

Main animal and staff processes are connected Typical current situation

In selected animal groups, health, feeding, reproduction, productivity, alert and staff activity data are used in one workflow, but coverage is not yet uniform across the entire herd.

4

Production is forecasted and optimised Siektina

The system forecasts health, reproduction and feed efficiency risks, and alert value is measured against actual biological and economic outcomes.

5

Adaptive and ecosystem-open operations

Validated feeding, environment and routine work processes are partially automated, whilst the veterinarian and staff manage exceptions and complex cases.

Key finding

Advanced sensors and equipment are increasing in livestock farming, but the greatest value is not another alert. Value emerges when all signals are linked to reliable animal identity, context and staff action.

The first version should cover one herd group and a clear health or feeding scenario: signal, priority, inspection, action, actual outcome and business impact.

Related digitalisation topics

Herd management platformPrecision livestock monitoringFeed and ration managementTraceability of veterinary actions
Next step

Link the animal signal, worker action and productivity outcome

Consider which health, feeding, reproduction, environmental or staff data gap is currently causing the greatest loss and risk.