Quotes in minutes. Generate revenue, not backlog.
Stella Quote automatically generates ready-to-review deficiency quotes with your pricing standards built in, cutting quote turnaround from days to minutes and turning identified work into captured revenue.
Stop losing revenue you already found
Every deficiency in your backlog is work your tech has already identified. Stella Quote moves it forward from identified to quoted, without the manual reconstruction that slows every team down.
Deliver quotes in minutes, not days
Stella automates deficiency quote prep so nothing stalls between identified work and a customer-ready quote — freeing your team to focus on winning work, not the busywork behind it.
Apply your best quoting knowledge, every time
Your pricing standards, service history, and scope logic built into every draft — no digging, no rebuilding, no relying on whoever happened to quote it last time.
Turn more quotes into revenue
Faster quotes reach customers before the moment passes. Stella turns deficiency quoting from a growth constraint into a growth driver.
One review step. Not one hour of reconstruction.
Most quoting software workflows require someone to manually pull asset history, determine scope, estimate labor, and apply markups for every deficiency that comes in. Stella eliminates that reconstruction. Your team gets a structured draft ready to review, adjust, and approve, without ever starting from scratch.
- Multi-deficiency quotes
- Bulk quote generation
- Plain-language adjustments
Your standards. Applied consistently. Every time.
Stella doesn’t make pricing decisions for your business. Every draft quote is built from your existing pricing logic, historical patterns, and scope decisions inside ServiceTrade, so nothing gets missed and nothing gets made up.
- Asset and service history
- Pricing logic built-in
- Learns your patterns over time
Contractor in the loop — by design
Every draft Stella generates requires your team’s review before it reaches a customer. If something looks off, your team catches it and adjusts — the same way they’d review any draft today, just without the hours of manual prep that preceded it.
- Review before sending
- Plain-language edit requests
- Quote performance tracking
How much revenue could Stella quote recapture for your team?
From deficiency to approved quote in four steps.
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Step 1. Select open deficiencies
choose one or multiple open deficiencies directly from your ServiceTrade workflow. No manual data entry required. -
Step 2. Stella builds the draft
Stella pulls asset history, applies your pricing logic and scope rules, and generates a structured quote draft in seconds. -
Step 3. Your team reviews and adjusts
estimators review the draft, request plain-language edits, and approve — staying in control at every step. -
Step 4. Quote goes to the customer
approved quotes route to the customer through your standard ServiceTrade workflow. Pull-through captured.
AI built on how commercial field service actually operates
- 10+ years of real field service data powering recommendations
- 1,300+ contractors on the ServiceTrade platform
- 98% faster quote generation vs. Manual process
- Your pricing rules, standards, and history — built in from day one
Stella agents across your entire field service lifecycle
Stella Agents are designed to operate inside every part of your field service workflow—carrying context, applying your standards, and moving work forward without starting from scratch every time.
Convert service deficiencies into ready-to-review quotes with asset details, parts, labor, and scope language already assembled.
Build dispatch-ready schedules based on your real constraints—technician skills, availability, travel time, and SLA deadlines.
Move completed work toward billing faster with the right details, reducing delays between service completion and revenue recognition.
Right contact, right message, right time — automate collections so office teams stop chasing balances and start closing them faster.
FAQs
Questions about Stella quote
Does Stella quote replace the quoting process entirely?
No, and that’s intentional. What the Stella AI quoting software eliminates is the reconstruction: pulling asset history, determining scope, estimating labor, applying pricing logic. The repeatable work that consumes expert time without requiring expert judgment. Every draft still gets reviewed, adjusted, and approved before it reaches the customer. The nuance stays with your people. The busywork doesn’t.
Who controls pricing: Us or Stella?
You do. Stella applies your pricing logic, not its own. Every draft is built from your company’s existing standards, historical patterns, and scope decisions. Nothing reaches a customer without your team’s explicit sign-off. Stella removes the manual effort of assembling it from scratch — not the judgment that goes into how your business prices work.
How is this different from templates or pricebooks we already use?
Templates speed up formatting. Pricebooks give you a starting price. But neither one prepares the quote. Someone still has to manually pull asset history, determine scope, estimate labor, and apply the right markups for every deficiency. That reconstruction is exactly what Stella Quotes AI quoting software eliminates — your team starts reviewing a draft that’s already complete, not building one from scratch.
What happens if a draft isn't right?
Your team catches it. Every draft requires human review before it goes anywhere. Stella surfaces its recommendation, your estimators validate, adjust, and approve. Over time, Stella refines its recommendations based on your completed quotes and approved jobs, so accuracy improves with every cycle.
How is Stella quote different from using ChatGPT?
Generic AI tools don’t know your business. ChatGPT has no access to your asset history, technician notes, customer-specific pricing rules, or how your company has scoped similar work in the past. Stella is embedded directly in ServiceTrade, grounded in your real service data, and prepares drafts your team can approve without leaving the system where the work already lives.
Our data quality isn't great. Will this still work?
Yes — Stella works with what exists in ServiceTrade today. It surfaces data gaps during draft prep so your team can fill them before the quote goes out. Every cycle improves the quality of what Stella learns from. Starting imperfect is better than not starting.
Stop leaving revenue in the backlog.
See how Stella Quote turns identified deficiencies into approved quotes. In minutes, not days.