A Spaid engineer pulls parts usage history from your FSM, maps the parts combinations that generate the most same-day returns and callbacks, and builds a pre-job stocking standard that prevents the wrong-part arrival before the truck rolls.
Inventory management tools optimize warehouse stock. The field service inventory problem isn't in the warehouse — it's in the truck. The same parts generate 60–70% of same-day return trips, and the data to prove it is already in your FSM.
A tech arrives without the part that job history says is needed on 40–60% of this job type. Returns to the warehouse. Drives back. Completes the job. The round trip costs $150–$300 in labor and fuel — entirely preventable with a parts history analysis.
$150–$300 per avoidable same-day return tripSome wrong-truck arrivals don't trigger a return trip — they trigger an incomplete repair and a callback. The tech improvises a partial fix, closes the job, and the customer calls back in 5–10 days. Parts gap shows up as a callback, not an inventory problem.
30–40% of callbacks trace to missing parts or toolsParts demand changes by season. Summer generates a different parts profile than winter for HVAC. Parts that were stocked correctly in March are wrong in July. Without a seasonal pattern analysis, techs consistently arrive with March's truck in July.
40% increase in same-day returns during seasonal transitionsMost inventory tools optimize what's in the warehouse. The field service inventory problem is which parts are on which truck for which job type on which day.
Optimizes reorder points and warehouse stock levels. Doesn't address which parts are on the truck for the specific job type today.
Based on management's experience, not historical job data. Updated annually if you're lucky. Doesn't account for job-type mix or seasonal patterns.
Your best tech knows what to bring. Your average tech doesn't. Variance between top and average performer truck stock mirrors the variance in callback rate.
You can see returns in the FSM. You can't see which parts caused them, which job types generate them most, or which techs have the highest rate without a cross-system analysis.
Identifies which parts generate the most same-day returns and callbacks across 6–12 months — the data needed to build a real truck stock standard.
Based on job type and address history — the parts most commonly needed for this job type at this address type. Delivered via existing FSM job card.
Your best tech's truck stock standard converted into a systematic recommendation — by job type, by season, by branch location.
Tags callbacks with root cause — parts gap, diagnostic failure, wrong-tech assignment. Monitors parts-related callback rate daily and flags when it's rising.
Parts usage history from 6–12 months. Pre-job recommendations before the truck leaves the yard.
Pulls parts usage records, return trip logs, and callback flags from ServiceTitan, HCP, FieldEdge, or Jobber. Identifies which parts generate the most same-day returns by job type, which techs have the highest wrong-truck rate, and how parts demand shifts by season.
Surfaces parts recommendations for the specific job type based on historical usage data — before dispatch. Tech sees the list in the existing FSM job card. Address history adds context: prior work at this address, parts used last visit, common failure patterns.
Documents your best tech's truck stocking logic by job type and season — what they carry, what they always bring on X job type, how stock changes between summer and winter peak. Converts tribal knowledge into a systematic recommendation for every tech.
Tags callbacks with root cause and monitors parts-attributed callback rate across all techs and job types. Flags rising patterns — a job type where wrong-truck arrivals are increasing, a tech whose parts-gap callback rate is above baseline, a seasonal transition creating stock mismatches.
Our Full-Operation Audit (Days 1–30) maps every revenue leak — field and back of house. If we don't identify at least $200,000 in recoverable annual revenue, we refund Phase 1 in full. You keep all audit deliverables.
After kickoff, we ask for about 30 minutes a week of your ops leader's time.
We'll start with a recent export or sample call data from your FSM and call system, show you the biggest leaks, and scope the engagement. Full access happens only if you proceed to the audit.