Agricultural machinery mobile service management system
The service coordinator prepares the master's visit according to the client's equipment and fault. Previous works, required parts and agreed arrival time are visible in the task.
Fault information, technician competence, location, work schedule, required parts and warranty not to combine. Technician arrives unprepared, increasing number of repeated visits and customer downtime.
How the solution works
- The service team recognizes the customer's technical unit and evaluates the need for service.
- The dispatcher prepares the visit by matching the specialist, location and proper parts.
- Verification of the work done updates the history of the equipment and provides for the necessary follow-up.
Key challenges
- Mobile technical service and parts preparation are coordinated manually
- Telematics data does not produce specific actions
- Customer farm and equipment fleet data is fragmented
Solution capabilities
Serviced machinery
The specialist finds a unit, serial number, set-up and relevant workstation owned or used by a specific customer.
History and the Need for Care
Previous work, replacement parts and manufacturer maintenance requirements help prepare for the next service. The changed user does not interrupt the technical history.
Fault and Signal Assessment
The client's referral or telematics event is checked before the job is assigned. Recurring messages can complement an already-executed task.
Preparations for the visit
The dispatcher combines the technician's competence, travel, tools and approved parts availability, taking into account the farm's working hours.
Work on the farm and continuation
The technician provides the work done, the parts used and the remaining restrictions. Unfinished repairs have an agreed next action and an explanation for the customer.
Business context
- Mobile technical service and parts preparation are coordinated manually
- Fault information, technician competence, location, work schedule, required parts and warranty not to combine. Technician arrives unprepared, increasing number of repeated visits and customer downtime.
- Telematics data does not produce specific actions
- Error codes, opening hours, location and status signals are visible in the manufacturer's separate portal. Signals do not translate into maintenance tasks, parts need or customer information.
- Customer farm and equipment fleet data is fragmented
- Technical models, serial numbers, purchases, technical service, seasonal needs and contacts are kept in different systems or employee memory. The customer repeats information, slows down the selection of parts and technical service and loses opportunities for re-sale.
- Quality of service strengthens long-term relationship of technical supplier
- The farm customer evaluates whether the master will arrive with the necessary parts and know the previous faults. The prepared visit reduces the need for additional trips and facilitates the planning of farm work. According to the service history, it is possible to discuss the pre-season maintenance and the goods needed for it in advance.
Core features
- Serviced machinery
- History and the Need for Care
- Fault and Signal Assessment
- Preparations for the visit
- Work on the farm and continuation
Key integrations
- Service system
- Job orders, technicians and history. Technical service history.
- Farm and equipment fleet platform
- Specific client equipment.
- Enterprise resource planning system (ERP)
- Parts, Guarantee, Accounts and Orders. Purchases, Orders and Financial Data.
- Warehouse management system (WMS)
- Availability and Reservation of Parts.
- Map System
- Location, route and distance.
- Manufacturers' Telematics APIs
- Working hours, errors, location and condition.
- Customer relationship management system (CRM)
- Customer, Contacts and Commercial History.
- Parts catalog
- Relationships between technical models and parts.
- Telematics Platforms
- Working hours, errors and status signals.
Potential impact (%)
The ranges indicate an illustrative relative change in the metric under the stated assumptions. Results depend on the starting position and actual use of the solution. Percentages for different metrics must not be added together.
Part of the re-visits due to a lack of pre-knowledge preparation
12–42%Decreasing
This illustrative scenario assumes that 30-60% of errors can be addressed through the data and rule checks described. That share is assumed to fall by 40-70%. Company data is needed to verify both the addressable share and the resulting change.
Due to the lack of preparation to be known, the number of repeated visits is divided by all visits of the comparable type of failure and multiplied by 100. The additional problem identified later is excluded.
Active client equipment and proven history search time
16–42%Decreasing
This illustrative scenario assumes that 40-70% of information searches and repeated cross-checks can be addressed. That share is assumed to fall by 40-60%. Company data is needed to verify both the addressable workload and the resulting change.
Measurements are made of search and revision in similar parts or service queries.
Part of negative feedback on mobile service
4–15%Decreasing
Indicative assumption: 15-30% of negative reviews are related to the lack of preparation of the master for the visit. The decision could reduce this portion by 25-50%. This is a scenario of potential; the assumptions need to be verified by feedback collected by the company.
When a company starts collecting reviews, negative feedback about the mobile service is counted from all assessments received on the topic. The same method of evaluation is applied before and after installation and similar customer groups are compared. Without initial data, the actual change is not determined.
Conditional calculation scenarios. The assumptions have not been validated against client measurements.
When this solution is relevant
- Frequent outbound service work
- Re-visits for parts
- During the season, downtime is very expensive
- Technicians' competencies vary
- Fault information is received by telephone
- Several manufacturers' telematics portals are in use
- Customers are constantly repeating technical models
- Tech data held in employee memory
Implementation requirements
For mobile service planning, customer technical serial numbers, set-up and work history are checked. The service team adjusts the order of failure information, preparation of spare parts and completion of work, including accounting for repeated visit causes.