Multi-location home services · the margin nobody revisits

Job costing already proved this job type loses money. The next quote uses the same price anyway.

Job costing knows, after the fact, exactly what a service cost in labor and parts against the standard price quoted. When a job type consistently runs over, that fact sits in a report the quoting template never reads before setting the next price.

The desire, and the price that never gets corrected

Nobody searching “job costing software” wants a reporting tool. They want the price on the next quote to reflect what jobs like it have actually cost, not a number set once and never revisited.

1. 1. The record — job costing, after the fact. Labor hours, parts, actual cost against the quoted price, per job. Every field-service platform does this well; it is the well-known half.
2. 2. The gap — quoting runs on its own schedule. The standard price for a job type is set once, in a template, and does not automatically read the accumulating job-costing history behind it.
3. 3. The close — a consistent pattern flags the template. A job type running over its assumed cost across many jobs, not one outlier, triggers a review of the standard price before the next quote repeats it.

This is a feedback loop across many jobs, not a personalization within one — the pattern job costing already proved, unread by the process that keeps setting the price.

Which platform this runs on

• Field-service software, by scale — the platform that runs both job costing and quoting as modules of the same system.
• Quoting software: the call data your estimate never reads — personalization within one job; this is a feedback loop across many.
• Dynamic pricing software: demand it cannot tell from returns — the same shape, a different vertical and a different unread signal.

Some links on the recommendation page are partner links: the vendor pays us if you sign up, your price does not change, and each button says which.

How to build it yourself, end to end

Five steps. Each names the vendor touchpoint from the picks above.

1. 1. Group job-costing results by job type, not by job. A single expensive job is noise; the same job type running over cost across a quarter of jobs is a pattern worth acting on.
2. 2. Set a variance threshold that triggers review. A job type running a set percentage over its assumed cost, consistently, flags for a pricing review — not every minor variance.
3. 3. Route the flag to whoever owns pricing, not to dispatch. A pricing decision belongs with the person who sets standard prices, not buried in an operations dashboard nobody with pricing authority opens.
4. 4. Update the template deliberately, not automatically. A person reviews the pattern and decides whether to adjust the standard price — the same rule every other pricing decision on this site follows.
5. 5. Re-measure the job type after the price changes. Confirm the new standard price actually closes the margin gap, rather than assuming a one-time adjustment solved it.

Step 1 is the one worth getting right — a single expensive job is not the signal; the same job type running over cost repeatedly is.

Or have it scoped and built

Wiring job-costing patterns into a pricing-review rule is scoped work against your specific catalog of job types — the readiness assessment is where that gets mapped out before anything is built.