Industry digitalisation analysis

Digitization of agricultural machinery and goods trade

equipment, parts and service according to farm work time

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.

72/100
Biggest challenge
Customer farm and equipment fleet data is fragmented
Biggest opportunity
Part and service planning according to client's equipment

Operating model

Farms plan seasonal purchases of goods, order machinery and urgently search for parts. The seller needs to combine these needs with suppliers and service schedule.

Several different sales models

The equipment is configurable and funded, parts are selected by model or serial number, and agri-goods are purchased in seasonal quantities.

Short periods of seasonal work

The time of sowing, fertilizing, spraying and harvesting is limited by weather and plant condition conditions. A late part or commodity may prevent work from being done on time.

The customer's equipment fleet provides valuable sales information

The need for parts, maintenance, consumables and upgrades depends on specific models and serial numbers.

Seasonality and Regional Differences

Demand depends on cultures, weather, region, farm size, technology and the course of a particular season.

Market context

The sale of equipment, seasonal replenishment of goods and mobile service depend on different cycles of work. It is important for the farm to get the right part or assistance at the time the machinery has to work. The supplier is helped by the customer's technical history to prepare for service and offer reasonable maintenance in a timely manner.

  • Seasonal PreparationsParts stock and service capacity need to be planned according to customer equipment and upcoming work.
  • Different ways of orderingThe technical kitting, spare parts selection and seasonal purchase of agri-goods have different issues and terms.

Typical operating workflow

01

Formation of the client's farm and technical profile

Farm type, technical models, serial numbers, technical service history, purchase conditions and seasonal needs are recorded.

02

Obtaining a need or technical request

The customer is seeking technical, part, seed, fertilizer, other tool, financing or technical support assistance.

03

Selection, Proposal and Approvals

Verification of technical suitability, purpose of use, individual price, availability, financing, documentation and deadline.

04

Order and supply plan

Reserve stocks, initiate supplier's order, planned delivery to the farm, withdrawal or technical preparation.

05

Transmission and Commencement of Use

Serial numbers, set-up, documents, training, delivery, installation or a lot of agro-product are fixed.

06

Technical service, re-order and season analysis

Managed failures, maintenance, parts, warranty, repeated orders of agro-goods and farm result signals.

Digital maturity scale

1

Separate records and manual work

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

2

Organised data within individual teams

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

3

Partially integrated systems

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

4

Coordinated systems and teams

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

5

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

Customer's technical and procurement history helps to provide more accurate advice. Seasonal stock planning and prepared service visits reduce additional alignment in the process itself.

Related digitalisation topics

B2B booking portalProduct Data ManagementERP integrationDemand forecasting

Combine customer's farm, technical fleet, parts, seasonal orders and technical service