Mobile Detailers, AI Photo Condition Assessment & Instant Tiered Quote Tool
Customers upload a few photos of their car, the AI rates paint condition and interior mess level, and instantly returns a tiered quote (basic, standard, premium, plus ceramic coating upsell) with one-tap booking and deposit collection.
This blueprint is free. Copy the master prompt below, build it with your own time, and the only outlay is a few low-cost tool subscriptions. Use it inside your own business, or sell it to clients. The numbers further down are what you can charge, not what you pay.
The Quote Took a Day. The Booking Went to Whoever Answered in Ten Minutes.
Read the articleWho you sell it to
Independent and small-crew mobile car detailers (1-6 vans), typically doing $8,000-$25,000/month in revenue already, who currently quote over the phone or by eyeballing photos texted to them ad hoc. Find them through local detailing Facebook groups, Google Maps searches for 'mobile detailing [city]', and Instagram/TikTok detailing accounts with visible before/after content but no booking link in bio. A good fit already has real before/after photos to seed the demo and is losing bookings to slow quote turnaround (anything over a couple hours loses the customer to a competitor).
If you sell it, here is the money picture:
The first tile is the value of your client's own jobs, which is the reason they will pay you. The other two tiles are what you charge them.
How it works
A customer visiting the client's site or a linked page uploads 3-5 photos: two of the exterior (worst panel, overall shot) and one or two of the interior (front seats/mats). The AI vision model rates paint condition (light/moderate/heavy swirls and contamination) and interior mess level (light/moderate/heavy), matches that against the client's own pricing tiers, and returns an instant quote range for Basic, Standard, and Premium packages, plus a highlighted upsell to ceramic coating if paint condition and vehicle age suggest it's worth pitching. The customer picks a tier, picks a time slot, and pays a deposit through Stripe to lock the booking.
The detailer gets an SMS and dashboard entry with the photos, AI assessment notes, and booking details, and can override the quote before confirming if the AI got it wrong.
What to expect
Photo-based quoting isn't pixel-perfect on day one. Expect the AI to be directionally right on tier (which package fits) more often than exactly right on price, so build in the owner-review step before the quote is finalized for at least the first month. Real gains show up in speed: quotes that used to take a same-day callback now go out in under a minute, and mobile detailers report 15-30% more bookings simply from not losing customers to slower competitors.
Ceramic coating upsell attach rate is realistically 10-20% of quotes when the tool actively flags it, versus close to 0% when it relies on the detailer remembering to mention it on a phone call.
Master prompt
You are an expert full-stack builder. Build a production-ready tool that… (the complete master prompt, custom input fields, build phases, pricing guidance and sales script are part of this blueprint.)
Build phases
Required tools
OpenAI API
Vision-capable model call that analyzes uploaded car photos for paint and interior condition
Pay-per-use, typically a few cents per photo analysis
Sign upTwilio
SMS for booking confirmations, reminders, and review requests
~$0.0079/SMS in the US, plus ~$1-2/month per phone number
Sign upStripe
Google Maps Geocoding API
Confirms a booking address falls within the client's service radius
Free tier covers most small businesses, then pay-per-use
Sign upAppBuild.DIY (Vibes)
Wraps the finished tool as a real iOS/Android app and PWA with native push notifications and in-app camera access, no Capacitor setup required
See appbuild.diy pricing
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