Business area digitalisation analysis

Production procurement and cooperation: digitalisation opportunities

How to connect member farms, planned production, quality, deliveries, batches, warehouses, the market and transparent settlement.

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.

93/100
Biggest challenge
Member farm, contract and planned production data are fragmented
Biggest opportunity
Unified member, production batch and settlement platform

Production procurement and cooperative digitalisation must transform multi-farm data into a single transparent collective commercial system.

Produce procurement and cooperation operating model

The business area encompasses farmer cooperation, produce procurement, quality assessment, storage, conditioning, batch formation, collective sales, joint purchasing and settlement with members.

Many independent suppliers in one commercial chain

Each member makes independent production decisions, but the overall sales result depends on coordination.

Quality directly changes price and logistics

Laboratory results determine grade, storage location, conditioning, buyer and settlement.

Physical mass balance must match the documentation

Deliveries, mixing, drying, losses, remainders and dispatches must form a traceable quantity chain.

Trust is the foundation of cooperation

The member must understand how the price, quality, deductions, services and final financial position are calculated.

Market and technology context

The EU supports producer organisations and cooperatives as a means to strengthen farmers' bargaining power and reduce supply chain imbalance. Digital member, quality, batch and market data enable cooperation to create not only administrative, but also real commercial economies of scale.

  • Strengthening farmers' bargaining powerThe EU supports producer organisations and cooperatives as a means to improve farmers' position in the supply chain.
  • Price and cost volatilityJoint forecasting, contracts and risk scenarios become important to avoid distress selling and unfulfilled commitments.
  • Demand for origin, sustainability and quality dataBuyers increasingly request evidence not only of laboratory grade, but also farm origin, production method and environmental KPIs.

Core operating process

01

Membership, contracts and seasonal forecast

Members, farm sites, commitments, planned quantity, quality, advances and shared requirements are managed.

02

Member contracts and logistics plan

Forecasts are aligned with market prices, member orders, warehouses, transport and risk limits.

03

Delivery and quality assessment

Time is reserved, supplier and transport identified, weighed, sampled and graded.

04

Warehousing and conditioning

Production is allocated to storage, dried, cleaned, blended, with quality and physical losses monitored.

05

Batch formation and sales

Sales batches are formed according to quality, origin and contract, transport and documents are reserved.

06

Member settlement and performance analysis

Price formula, premiums, deductions, advances and services are applied, and member and batch economics are analysed.

Digital maturity pathway

0

Paper-based and individual experience-driven management

Member forecasts, delivery queues, quality results and settlements are managed using spreadsheets, telephone and separate documents.

1

Separate digital tools

Weighbridges, laboratory, warehouses and accounting are digital, but for the member and employee these are still several separate processes.

2

Core operations digitalised

Deliveries and settlements are recorded in systems, but forecasts, logistics planning, batch traceability chain and price explanation still require manual work.

3

The core member, delivery and settlement process is integrated Typical current situation

In the selected production type, member commitment, delivery, sample, quality, price formula, batch and settlement are linked in a single chain, but coverage is not yet uniform across all business areas.

4

Production is forecasted and optimised Siektina

The system forecasts supply, quality grades, intake load, warehouse status and sales scenarios, and decisions are evaluated based on the overall result for both members and the cooperative.

5

Adaptive and ecosystem-open operations

Members, partners and buyers securely exchange verified data, and the cooperative can form traceable batches of origin, quality and sustainability and automate part of collective decision-making.

Key finding

Cooperative digitalisation is not just a member portal. The greatest value emerges when member forecasts, actual deliveries, laboratory quality, warehouse batches, buyer contracts and settlement form a single traceable chain.

The first version should cover one product type and a complete seasonal flow: member commitment, delivery window, weighing, sample, price, batch allocation and transparent settlement.

Related digitalisation topics

Cooperative members' self-service portalProduction procurement and quality systemProduction batch and mass balance managementCollective sales analytics
Next step

Connects member forecasts, production flow and transparent settlement

An assessment is made of which gap in members, deliveries, quality, batches, warehouses or pricing is currently reducing the cooperative's scale value the most.