How to choose a solution for a cooperative and an independent producer of produce?

Both may require contracts, acceptance, quality, billing, and batch accounting. The cooperative may additionally have relevant member services or joint purchases if it organizes them. The scope is selected according to real activities and systems used to clearly link supplier delivery and settlement in one environment.

What data is needed to verify the origin of the certified production?

Appropriate supplier, lot and transfer documents are required under a specific certification scheme. A chain of validity and quantity is checked. The mere coincidence of the physical balance does not replace these documents.

How can digitalization strengthen farmers' confidence in the buyer?

The producer can be clearly presented with the information of the quantity delivered, quality assessment, price calculation and settlement. The issue that has arisen is linked to the specific delivery and its documents. Reliable and understandable data helps to clarify differences more quickly and provides a basis for further supply negotiation.

Can all sustainability figures be compared?

Only with the same methodology, period and limits of calculation. Uniform name does not prove this.

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Industry digitalisation analysis

Product buying and co-operation: opportunities for digitalization

An understandable settlement for the delivered production

Digital maturity Typical digital maturity Shows the level of digitalisation companies in this line of business typically operate at. The assessment considers use of core systems, how far processes are digitalised, integrations, data readiness and advanced use of data. A 3 means ordinary, middling maturity. A 5 is given only where real-time data, automated decisions and advanced optimisation are already a routine part of core operations.: medium
Digitalisation potential Digitalisation potential Shows the scale of business impact digitalisation could have in this line of business. It weighs economic leverage, the scope for digital impact, the scale and repetition of processes, value lost today, and the leverage of better data and decisions. A business area’s score is calculated from five weighted dimensions. A sector’s score is derived from the scores of its business areas.: 76/100
Biggest challenge: Data for member farms, contracts and planned productions are fragmented
Biggest opportunity: It's clear to the supplier how the settlement is calculated

Operating model

A collector or cooperative may accept production in their warehouse or only coordinate supply. Suppliers are not necessarily members, so contracts and settlements may vary.

Cooperative with member services

The cooperative coordinates the supply of members' products, joint purchases and other agreed services. Separate orders and billing data are stored for each activity.

Plant-Product Buyer with Warehouse

The company accepts the products from suppliers, weighs it and checks the quality. According to the need of the product, it organizes cleaning, drying, separation and storage.

Purchase of milk and other animal products

The milk collector combines periodic collection, quality testing and settlement. For other produce, the data of acceptance and quality assessment are determined by its type.

Producer group without own warehouse

The group combines the supply of members with the requirements of the buyer and organizes a direct delivery. It tracks agreed quantities, quality and delivery approvals.

Market context

The buyer or cooperative combines the supply of members, the acceptance of production and obligations to buyers. It is important for the supplier to understand the influence of weighing, quality and price on the settlement. The buyer needs a reliable supply of agreed quantity and quality, so the plans of members are adjusted according to actual reception.

Quality changes the settlementThe supplier must see how the weight, research and agreed terms are used to calculate the final amount.
Acceptance LoadSeasonal or periodic flow of production must be combined with assembly, checks and storage space.

Workflow and responsibilities

Member supply and commitment

The cooperative collects planned quantities of production and separates them from contracted deliveries.

Delivery alignment

Delivery times are combined with reception, drying, refrigeration or storage options according to the product's need.

Reception and quality

Weighed output is linked to the supplier and the results of a properly sampled sample. Non-conformities are resolved before settlement.

Batch and price calculation

Movement and quality of production are recorded. The amount to be paid is calculated according to agreed terms of quantity, quality and services.

Sale and settlement

The customer is handed a production meeting the agreed quality with the required data. The member receives a clear explanation of the quantity accepted, deductions and amount due.

Digital maturity scale

Separate records and manual work

Information is mainly held in separate files or notes. Employees pass it on and reconcile it manually.

Organised data within individual teams

Teams record their work consistently, but sharing information with colleagues still requires considerable manual checking.

Partially integrated systems

Core work is managed in systems. Some information is transferred automatically, but repeated data entry remains.

Coordinated systems and teams

Systems deliver the required data on time. Employees can see unfinished work and know who is responsible for resolving discrepancies.

Continuous measurement and improvement

The team checks data quality, evaluates results and uses them to improve operations. Automation is applied where its value can be demonstrated.

Executive conclusion

Forecasts are worth comparing with agreed quantities and actual deliveries. Weighing, quality and price data must explain each supplier's settlement.

Common digitalisation challenges

Data for member farms, contracts and planned productions are fragmented

High

Members of the cooperative, their fields or animals, planned quantities, breeds, contracts, advances, commitments and the previous result are held in CRM, accounting and tables.

Consequences: The cooperative does not accurately predict the overall supply, communicates slowly with members and has difficulty managing the risk of contractual obligations.

The buy-in forecast is not sufficiently tied to buyers' orders

High

Farm harvest or output forecasts, quality classes, storage capacity, transportation, buyer contracts and market prices are analysed separately.

Consequences: Too much or too little commitment to buyers increases the cost of urgent sales, outstanding contracts and logistics.

Reception, laboratory quality and price formulas are not linked

High

Weight, humidity, protein, fat, contamination, class, sample result, premiums, deductions and final price go through several systems.

Consequences: The member slowly receives a clear settlement, there is a quality dispute, and the cooperative struggles to analyze the real value of the batches.

Delivery windows, transport and reception capacity are manually coordinated

High

The farm harvest or milking schedule, vehicles, queues, scales, laboratory, drying, warehouses and buyer windows are planned differently.

Consequences: During peak, queues are formed, production quality is deteriorating, and transportation and waiting costs are increasing.

Production batches and mass balance are not traceable enough

High

The origin, delivery, weighing, sample, quality, silo or capacity, mixing, cleaning, drying, sales lot and transport of the farm are not connected in a single traceability chain.

Consequences: It is difficult to trace a quality or safety problem, justify the origin and accurately calculate physical losses.

Warehouse, conditioning and sales states not merged

High

Actual balances, quality classes, humidity, drying, cleaning, fumigation, storage costs, reservations and sales contracts are managed in separate systems.

Consequences: Selling the wrong quantity or class, increases in quality, energy and storage losses.

Members' settlements, advances and shared services are difficult to explain

High

Buy-in accounts, prepayments, purchased raw materials, services, member's shares, fees, and offsets are presented in several documents.

Consequences: The member is uncertain about the final financial situation, the number of service requests increases and trust in the cooperative diminishes.

Data requests for sustainability, origin and buyers are collected manually

High

Field, farm, emissions, raw materials, animal welfare, certificates and other data required by the buyer are requested for each transaction separately.

Consequences: Members repeat the same information, the cooperative is slow to prepare proposals and struggles to create a differentiated lot of higher value.

General procurement and services do not sufficiently rely on the members' demand forecast

Medium

Seed, fertilizer, feed, fuel, insurance, technical and consulting needs are collected by separate surveys or after the fact.

Consequences: The cooperative does not make use of scale, buys at an optimal time and is unable to offer the best conditions for members.

Opportunities

Opportunities to improve operations

Agricultural product origin and sustainability data systemHigh impactThe origin and other data required by the buyer with their sources are stored next to the production batch.The right information can be used for the next submission, so document preparation takes less time.

Cooperative joint purchasing and member service systemHigh impactQuantities approved by members are linked to the supplier's order.The overall purchase reconciliation decreases, and a subsequent change is assessed before it affects the price or delivery of other participants.

Cooperative product supply and contract management systemHigh impactSupply estimates are checked against the same product and period as the actual delivery.The team more accurately sees a future flaw and can match the buyer's commitment against the current version of the forecast.

Agricultural procurement and settlement management systemHigh impactThe approved quantity and quality result are transferred to the appropriate contract formula.The price basis is prepared more quickly, and the supplier's question can be explained to a specific measurement or financial correction.

Agricultural product batch and quantity accounting systemHigh impactRegistered operations separate a reasonable change in quantity from an unexplained deficiency.The team can investigate the balance difference and trace from which sources the batch released to the recipient was formed.

Biggest opportunity

It's clear to the supplier how the settlement is calculated

Delivery weight, quality surveys and agreed prices are linked in a single record. The employee can check the calculation and corrections, and the supplier receives the documents and explanation of the amount that belong to him.

Fewer manual reception data aggregation
Faster investigation of settlement differences
Clearer information for output suppliers
A more transparent settlement strengthens members' confidence and the basis for continued supply

Business impact assessment

Potential operational benefitsAgreed contracts, admission measurements and batch movement reduce quantity and settlement disputes.
Why the problem mattersAn unconfirmed quantity or unclear quality deduction can alter the promise of supply and the amount due.
Implementation dependenciesIt is necessary to separate the forecast from the agreed quantity, align the units of measurement and the data of several members.
Trust between a cooperative member and a buyerThe member has a clear general order and settlement, and the buyer has confirmed the supply and its changes. Continuous participation is assessed, supply promises fulfilled and documentation sufficiency.

Sprendimai

How to solve these problems

Solution directions linked to specific business area problems they address.

Problem

Data for member farms, contracts and planned productions are fragmented

The cooperative does not accurately predict the overall supply, communicates slowly with members and has difficulty managing the risk of contractual obligations.

Solution direction

Cooperative product supply and contract management system

The cooperative compares the member's forecast supply to agreed quantities and buyers' orders. The changed quality or quantity indicates which period the output will be missing.

Problem

The buy-in forecast is not sufficiently tied to buyers' orders

Too much or too little commitment to buyers increases the cost of urgent sales, outstanding contracts and logistics.

Solution direction

Cooperative product supply and contract management system

The cooperative compares the member's forecast supply to agreed quantities and buyers' orders. The changed quality or quantity indicates which period the output will be missing.

Problem

Reception, laboratory quality and price formulas are not linked

The member slowly receives a clear settlement, there is a quality dispute, and the cooperative struggles to analyze the real value of the batches.

Solution direction

Agricultural procurement and settlement management system

The employee calculates the settlement based on the quantity delivered, quality survey and agreed price. The amount, advances and service deductions can be explained to the supplier.

Problem

Delivery windows, transport and reception capacity are manually coordinated

During peak, queues are formed, production quality is deteriorating, and transportation and waiting costs are increasing.

Solution direction

Agricultural procurement and settlement management system

The employee calculates the settlement based on the quantity delivered, quality survey and agreed price. The amount, advances and service deductions can be explained to the supplier.

Problem

Members' settlements, advances and shared services are difficult to explain

The member is uncertain about the final financial situation, the number of service requests increases and trust in the cooperative diminishes.

Solution direction

Agricultural procurement and settlement management system

The employee calculates the settlement based on the quantity delivered, quality survey and agreed price. The amount, advances and service deductions can be explained to the supplier.

Problem

Production batches and mass balance are not traceable enough

It is difficult to trace a quality or safety problem, justify the origin and accurately calculate physical losses.

Solution direction

Agricultural product batch and quantity accounting system

The warehouse team tracks batches of production, capacity, and changes in quantities during storage. Suitable stocks for sale, their origins, and the recipients of removals are seen.

Criteria for assessing the investment

Investment justified

The cooperative organizes joint procurements of members whose needs, approvals and deliveries need to be aligned.
Several member productions are combined for general buyers' orders based on quantity, quality and supply time.
The purchase price depends on quantity, quality and contractual premiums or deductions.
Several buyers request data on the origin or sustainability of the same farms, subject to different requirements.
The production of several suppliers is accepted, mixed and moved, the quantities of which must be tracked by lot.

Implementation requirements

For buy-in and co-operation processes, suppliers' obligations, acceptance facts and price basis are compatible. The scope of origin and warehouse accounting depends on the actual responsibility for the product and its physical movement.

Cooperative with member services

Link member deliveries to a price explanation, and set separate commitment rules for general purchases.

Plant-Product Buyer with Warehouse

Describe the relationship between deliveries, warehouse lots and quality-based price.

Milk collection and buying up of animal products

Align the collection, measurement and settlement periods for products.

Specialized group of manufacturers without own warehouse

Link buyer criteria, supplier promises and actual recipient acceptance responses.

Key implementation requirements

Supply and Actual Acceptance

The supply plan distinguishes between forecast and contracted quantity. The course of admission governs the actual delivery, sample, and settlement basis.

Physical lot and commercial price

The warehouse system controls the physical batch and its state. Pricing counts commercial settlement and does not replace the original weight or laboratory result.

Buyer attribute and its proof

The buyer attribute system produces proof of a specific methodology. It does not create additional physical origin or certified status where they do not exist.

Joint Purchase and Member Finance

The need for a joint purchase is not an order. The member's feel, advance, bill and service fee must not be aggregated into an unexplained single balance.

Operational performance indicators

Settlement explanation workworking minutes

Restore a specific formula and financial records.

Unresolved mass balance differencekilograms

Distinguish moisture, impurities and measurement limits.

Preparation of the Buyer Data Packageworking hours

Use the basis of a specific methodology and batch.

Share of members re-involved in joint procurements%

Re-involved members are divided by a group of all comparable members of previous purchases. Similar seasons and the scope of member's need are compared.

As part of the follow-up proposals following the submission of origin data%

Continued bids are divided by all comparable bids that required origin or sustainability data specified by the buyer. Obtaining a certificate or price supplement is assessed separately.

Key risks

The total amount hides the wrong qualityOnly the nominal amount of production is reserved for the buyer.How to manage Check class, time and actual release state.
All farm data is opened to the buyerA sustainability query extends access without a specific purpose.How to manage Transfer only the required and properly based attribute package.

Let's discuss your farm or service process

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Product buying and co-operation: opportunities for digitalization

Operating model

Cooperative with member services

Plant-Product Buyer with Warehouse

Purchase of milk and other animal products

Producer group without own warehouse

Market context

Workflow and responsibilities

Member supply and commitment

Delivery alignment

Reception and quality

Batch and price calculation

Sale and settlement

Digital maturity scale

Separate records and manual work

Organised data within individual teams

Partially integrated systems

Coordinated systems and teams

Continuous measurement and improvement

Executive conclusion

Related digitalisation topics

Common digitalisation challenges

Data for member farms, contracts and planned productions are fragmented

The buy-in forecast is not sufficiently tied to buyers' orders

Reception, laboratory quality and price formulas are not linked

Delivery windows, transport and reception capacity are manually coordinated

Production batches and mass balance are not traceable enough

Warehouse, conditioning and sales states not merged

Members' settlements, advances and shared services are difficult to explain

Data requests for sustainability, origin and buyers are collected manually

General procurement and services do not sufficiently rely on the members' demand forecast

Opportunities to improve operations

It's clear to the supplier how the settlement is calculated

Business impact assessment

How to solve these problems

Recommended solutions

Cooperative product supply and contract management system

Agricultural procurement and settlement management system

Agricultural product batch and quantity accounting system

Cooperative joint purchasing and member service system

Agricultural product origin and sustainability data system

Criteria for assessing the investment

Implementation requirements

Cooperative with member services

Plant-Product Buyer with Warehouse

Milk collection and buying up of animal products

Specialized group of manufacturers without own warehouse

Key implementation requirements

Supply and Actual Acceptance

Physical lot and commercial price

Buyer attribute and its proof

Joint Purchase and Member Finance

Operational performance indicators

Key risks

Innovation and practical applications

Supply and Quality Scenarios by Period

Automatic comparison of buyers' data requirements

Frequently asked questions

How to choose a solution for a cooperative and an independent producer of produce?

What data is needed to verify the origin of the certified production?

How can digitalization strengthen farmers' confidence in the buyer?

Can all sustainability figures be compared?

Let's discuss your farm or service process