Quote on the spot. Before you leave the driveway.
You drive out, do the inspection, and know within ten minutes what the job needs and roughly what it should cost. Then you drive back, work out the number at the end of a long day, send it the next morning, and follow up twice. And then nothing. The work did not go to someone better. It went to someone who was still standing in the room when the customer was deciding. Bidding AI closes that gap.
Bidding AI is a private quoting tool for contractors and home-service businesses: it builds market-backed quotes on site in minutes, prices every job from your own costs, and keeps your pricing on your machine instead of in the cloud.
Your prices. Your formula. Your margin, visible in the room.
Book a Discovery CallThe moment you are losing
Every hour between the inspection and the number is an hour the customer spends cooling off, calling someone else, or forgetting how bad the problem looked. Quoting happens twice, once in your head on site, once properly at a desk when you are tired. Evenings disappear. The follow-up treadmill never tells you whether the price was wrong or they just moved on. And numbers built from memory, priced from recall because the spreadsheet is not open in a car park, cost you margin you cannot see until the invoice clears.
What Bidding AI does
- Runs where you are. In the driveway, on the loading dock, on your phone, not the laptop waiting at home.
- Uses your pricing, which you control. Your materials, costs, suppliers, margins. Update them when they change, no waiting on anyone.
- Follows your formula, not a generic calculator. Size bands, coverage, access difficulty, travel, your version of that, built from how you already work.
- Shows the margin as you build it. See what the job is worth before you say the number. Adjust in front of the customer knowing exactly what you are giving away.
- Writes the reasoning. Not just a total, a short plain explanation of why this price. A number with a reason invites a decision instead of a negotiation.
- Gets signed while you are there, then feeds the numbers into whatever you already use for invoicing. We do not replace your accounts system. We feed it.
- Remembers everything. Every quote a record: size, type, price, margin, and whether it closed.
Market Watch: why the price makes sense today
A reason cannot be your opinion. It has to be checkable. Market Watch pulls the public data that moves your market, construction activity, material and energy costs, seasonal demand, permits, into one place, updated on its own. So standing in front of a customer you know what is happening in your market this month. It gives you a reason the price is what it is, a reason to act now rather than later, not pressure but information, and the language that makes you the expert in the room instead of a supplier compared on price.
Then it starts to learn
Every quote logged is a data point: which property types, which sizes, what closed. After a season, the system tells you what is actually true about your business: which work is most profitable, which quotes convert, which customers are worth driving further for. And once it knows that, the same rules can score your incoming leads, so the ones most like your best jobs come first. That is a later conversation, and it should be. It only works once the system has watched you work long enough to be right.
Yours, on your machine
Your prices, your margins, your formula, your history of what converts. That is not preference data. That is the commercial core of your business, written down properly for the first time. It lives on your equipment, not a platform shared with everyone else in your trade. Public market data comes from the cloud, because it was public before anyone touched it. Everything about how you price stays with you, after the last invoice is paid.
Own your AI. Do not rent it.
Who this is for
Anyone who prices work on site. Pest control, restoration, energy services, remediation, inspection, landscaping, HVAC, cleaning, specialist trades. If you assess in person and quote afterwards, this closes that gap.