
A job that never gets done is not just a wasted afternoon. It is a chain of costs that most operations teams only add up after they have felt the damage a few too many times.
Failed site visits -- aborted jobs, no-access calls, engineers arriving at the wrong address or without the right parts -- sit somewhere between a minor irritant and a serious operational problem, depending on how often they happen. In field operations at any scale, they happen more than they should.
Here is where the money goes.
The most visible cost is the wasted journey. An engineer drives to a site, cannot complete the job, and drives away. You have paid for the fuel, the vehicle time, and the labour. For a single visit, that might feel manageable. Across a field team running dozens of jobs a day, it accumulates fast.
Then there is the rebooking overhead. Someone in the office has to pick up the call or the complaint, log the failure, find a new slot, and dispatch again. That is scheduler time spent on a job that should already be closed.
Add to that any penalty clauses in your contracts. Utility and installation contracts frequently carry service level commitments. Miss enough appointments and you are not just losing the cost of one visit -- you are losing against the SLA.
Most failed visits do not fail on site. They fail in the scheduler.
The most common causes of an aborted job are things that were knowable before dispatch: the engineer did not have the right certification for that job type, the stock was not confirmed loaded before they left the depot, the appointment was booked without checking whether the customer would actually be in, or the travel time was underestimated and the engineer arrived outside the agreed window.
Every one of those failures is a scheduling decision -- or a missing check at the point of scheduling.
When scheduling runs on spreadsheets, phone calls, and informal handoffs, those checks fall through the gaps. A coordinator assigns a job to whoever is nearest without seeing that the engineer's certification for that equipment expired last month. Another job goes out without confirming parts availability. By the time the failure shows up, it is already costing you.
Good scheduling is not just filling slots in a rota. It is matching the right engineer, with the right certification, with the right stock, to the right job window -- and having the system enforce that match automatically rather than relying on someone remembering to check.
The second place failed visits pile up is in the gap between what the scheduler thinks is happening and what is actually happening in the field.
If your job tracking is based on engineers calling in when they are done, you do not know a job is running late until it already is. You cannot reassign. You cannot contact the next customer to manage expectations. You just absorb the failure.
Real-time job tracking changes that. When the back office can see which jobs are running, which are at risk, and where each engineer is, there is a window to act. A job that is running 45 minutes late can be reassigned or rescheduled before it becomes a failed visit and a customer complaint. A technician who has just cleared a job ahead of schedule can pick up an emergency call nearby rather than returning to depot.
Reach gives field service coordinators that live view across the whole operation, so the response to a problem can happen before the job fails rather than after.
Failed visits in utility and installation work tend to hit customers who have taken time off work, cleared access to their property, or been waiting on a repair that affects their day-to-day. A no-show or an aborted visit is not neutral. It damages the relationship, generates complaints, and in regulated sectors can attract scrutiny from the regulator or commissioner.
For MOPs and MEMs running smart meter installations, for EV charge point installers managing fast-growing rollouts, and for utility field teams working against tight programme schedules, the reputational and regulatory cost of a high failed visit rate is as real as the direct cost.
That cost does not appear on a single failed job. It builds over time and shows up in contract reviews, complaint volumes, and customer satisfaction scores.
You do not need to overhaul everything. The biggest reductions in failed visit rates tend to come from a small set of changes: enforcing certification checks at the point of job assignment, confirming stock before dispatch, and giving engineers a mobile tool that gives them job details, site notes, and back-office contact without a phone call.
Reach handles all three. The advanced scheduling assigns the right engineer for each job type, the mobile app puts the job details and site access information in the engineer's hand before they leave, and real-time tracking means coordinators can intervene before a late job becomes an aborted one.
If your failed visit rate is something you track, it is worth asking how much of it is being driven by gaps in scheduling rather than genuinely unpredictable events. Most teams find the answer uncomfortable.

Most utility operations still run rotas that were built on a combination of spreadsheets, experience, and phone calls. A coordinator puts jobs together based on geography, rough availability, and what they know about each engineer. That knowledge is valuable, but it doesn't scale.

A field service management platform does not replace a good dispatcher. It gives them what they actually need to do the job: a live view of the operation, tools to reassign quickly, a mobile link to every engineer in the field, and a record of what happened on every job.

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