For metering point operators that perform Smart Meter Gateway administration internally, every additional visit means another round of scheduling, travel and labour. These costs can directly put pressure on service margins, particularly when the first visit is spent establishing what needs to happen next.
When the cause of an incident or the required action remains unclear before an appointment, the technician may arrive on site without enough information to diagnose or resolve the issue . A return visit then adds another round of operational cost without necessarily increasing revenue from the service case.
Better preparation can help reduce these avoidable returns. For an MSB with its own GWA function, the opportunity is to connect information already available to the technical teams with the decisions made by dispatchers and field technicians.
Default metering point operators must deliver standard services within statutory annual price caps. Under section 30 of the German Metering Point Operation Act, the total annual caps for consumption-based mandatory installation categories above 6,000 and up to 100,000 kWh range from €120 to €220 gross per metering point. These amounts cover contributions from both the connection user and the connection network operator.
The annual charge must fund more than field service. Standard services include installation, operation and maintenance of the metering point, measurement and data transmission. Avoidable repeat visits leave less room to cover these other activities.
Competitive metering point operators work within their contractual pricing arrangements, the same statutory caps do not apply to their customer charges. They nevertheless face the same operational question: how much work is required to resolve a service case within the agreed price?
In both models, reducing avoidable repeat work can help protect margins.
Let’s assume the first-time fix rate is the proportion of service cases resolved during the first on-site visit without requiring another visit for the same issue.
Closing a diagnostic work order alone does not count as resolving the case.
Consider 10,000 service cases requiring an initial on-site visit. For this illustration, assume that:
The €150 figure is a modelling assumption, not an industry benchmark. Operators should replace it with their own cost data.
|
First-time fix rate |
Cases requiring a follow-up visit |
Modelled follow-up cost at €150 per visit |
|
80% |
2,000 |
€300,000 |
|
85% |
1,500 |
€225,000 |
|
90% |
1,000 |
€150,000 |
|
95% |
500 |
€75,000 |
Under these assumptions, improving the first-time fix rate from 85% to 90% would avoid 500 repeat visits, representing €75,000 in modelled field service costs.
The financial benefit depends on how field service is organised. For a contractor paid per visit, fewer appointments may reduce expenditure. For an internal team, the immediate benefit may be additional capacity for installations and other service work, with savings arising through reduced overtime or external support.
This calculation illustrates the value of fewer repeat visits. It is not a forecast of savings from a particular platform. A business case must also account for the cost of improved diagnostics, integration and process changes.
A return visit is not always avoidable. Some incidents require specialist work, additional approvals or a planned sequence of activities.
Other returns result from information gaps that could have been addressed earlier. For example:
In an MSB with an internal GWA function, relevant information may be distributed across gateway administration, network operations, metering systems, customer service and installation partners.
The opportunity is to make that information usable before dispatch. A technician should not have to repeat checks simply because their results remained in another team’s system.
A missing reading or an unreachable gateway is a starting point for investigation. Available diagnostics and incident information can help determine whether a visit is appropriate or whether the case should first be handled by a backend, gateway administration or connectivity team.
A useful work order combines the observed problem, previous checks, the likely cause and the intended outcome. Where uncertainty remains, it should be explicit so that the technician can prepare for the plausible scenarios.
Device variants, accessories, replacement parts, access arrangements and approvals can all affect whether the work is completed during the first appointment. These checks belong to the wider service process and should be completed alongside the technical assessment.
First-time fix is most useful when viewed alongside remote resolution rates, repeat visits and the total cost per resolved service case.
A higher first-time fix rate does not automatically mean lower costs. A longer, more expensive first visit may avoid a return without reducing total effort. Equally, resolving straightforward cases remotely may leave a more difficult mix of incidents for field technicians, lowering the field team’s first-time fix rate even as overall efficiency improves.
A balanced view should therefore include:
Comparing similar case types, regions and service partners makes these measures more useful than relying on a single organisation-wide percentage.
Consider a gateway that stops communicating with the GWA system. If the issue is immediately dispatched as a field-service case, the technician may arrive with little more than “SMGW not reachable” in the ticket. The first visit may then be used to determine whether the problem is related to cellular connectivity, the communication module, its configuration or the physical installation.
A better approach is to review the available communication data before dispatch. For example, if the gateway is still reachable and the available data indicates a temporary communication or configuration issue, the team may be able to perform a remote action and verify whether communication is restored without sending a technician. If the gateway remains unreachable, recent signal measurements and the results of previous remote actions can help determine what information should be passed to the field team and what should be checked on site.
This creates two opportunities to reduce field-service effort. Where possible, the issue can be resolved remotely. When physical intervention is required, the information gathered beforehand can help ensure the first visit is better prepared.
For an MSB managing a large, multi-vendor SMGW fleet, network management issues can create a recurring workload for operational teams. Communication interruptions, connectivity-related incidents and the need to verify gateway status require teams to investigate individual cases while maintaining consistent service processes across different manufacturers.
Coiote IoT Device Management provides a vendor-independent layer for managing communication modules across supported gateway manufacturers. It supports the investigation and handling of network management issues by making available communication data and remote operations accessible through a common device-management environment. The specific capabilities depend on the deployed modules and their firmware.
For operational teams, this can help standardise how communication-related incidents are assessed and handled across the fleet. Depending on the available module capabilities, teams may investigate connectivity issues, perform supported remote actions and verify the outcome before deciding whether a case requires field intervention. Relevant information can also be shared with existing ticketing or field-service platforms through APIs and event-driven integrations.
This approach can support service teams in managing their workload across different gateway vendors while maintaining visibility into how communication-related cases are handled. For managers, the available information can contribute to analysing remote resolution rates, first-time fix, repeat visits and time to resolution. Coiote does not determine these KPIs on its own, but the available communication-module data can help teams investigate connectivity-related cases and assess where remote intervention or improvements to the service process may be possible.
Coiote NMS complements existing GWA and service management systems. Its role is to support the operational teams responsible for network management and communication-related service cases across a multi-vendor SMGW environment.