Field Service
Stop paying for idle technicians waiting on parts
Dispatch schedules, parts inventory and supplier lead times connected so idle time becomes visible before the day starts.
Why this decision matters.
Technician time is the product. Every hour a crew spends driving, waiting on a part, or sitting between jobs is capacity you paid for and cannot sell, and it rarely appears as a line item anywhere.
Utilization reports usually hide the problem by averaging it. A fleet at 68 percent utilization can contain crews at 85 percent and crews at 45 percent, and the fix for those two groups is not the same. Territory design, dispatch sequencing, and part staging each cause a different shape of idle time.
Recovering even a few points of billable utilization changes the revenue line without hiring, which is why this decision usually pays for itself faster than any other operational change on this list.
Comparing tools for field service? See how SIGNLD compares with Tableau. For the underlying numbers, read the technician profitability gap in Housecall Pro.
How SIGNLD answers it.
Step 01
Connects to your source systems
Read-only access to payroll and billed-hours records (QuickBooks), the dispatch and route data your schedulers maintain (Google Sheets), and crew coordination threads (Slack).
Step 02
Builds the graph across those systems
Technicians, shifts, jobs, travel legs, and billed hours are linked so paid time can be reconciled against billed time per crew, per day, and per territory.
Step 03
Returns a ranked brief
The brief shows where the unbilled hours concentrate, distinguishes travel from wait from admin time, and recommends the specific scheduling or territory change with the largest recoverable capacity.
Reads from.
SIGNLD connects read-only to your existing systems. 800+ integrations available.
What the brief looks like.
The question
How much idle time is our parts situation creating, and where?
What SIGNLD found
Region 2 technicians averaged 4.1 idle hours per week over the last 6 weeks, all tied to 3 SKUs on backorder from a single supplier. The idle time is logged as 'admin' in the scheduling system, hiding the true cost.
Evidence
- Region 2 idle hours logged as admin: 847 hours in 6 weeks across 9 technicians
- 3 SKUs from Supplier B account for 78% of all parts-related job holds
- Same 3 SKUs available same-day from an alternate supplier at 4% higher unit cost
Recommended move
Approve spot purchasing from alternate supplier for the 3 backorder SKUs. The 4% cost premium is offset in the first week by recovered technician time. Estimated annual idle cost currently: $61K.
31% reduction in idle technician hours
Illustrative brief. Figures are sample data, not customer results.
Questions.
Do we need GPS or telematics data for this?
What systems does SIGNLD read from for this decision?
Will this be used to score individual technicians?
How accurate is the brief?
More decisions in Field Service.
Field Service
Catch supply problems before jobs start failing
We connect job records, technician notes and supplier data so issues surface while you can still act on them. Apex Components shipments have been short or substituted on 41% of orders in the last 30 days.
Read the decision →Field Service
Cut your callback rate before it eats your margin
Job notes, parts history and technician records connected so repeat failures surface before dispatch. Callbacks on HVAC units installed before 2019 are 3.2x higher when serviced by technicians with less than 18 months tenure.
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Find the jobs you're underpricing before the season ends
Completed job records, parts costs and labor time connected to show where margin is leaking job by job. Commercial refrigeration service jobs average 2.7 hours of labor but are quoted at 1.8 hours in the pricing model.
Read the decision →Run this decision on your own data.
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