Lloyd Park — #1 fan of 1-800-GOT-JUNK?
Drop a job photo. A vision model identifies the items, estimates the volume, flags risk. Two pricing inputs blend into a single quote: public market data (1-800-GOT-JUNK, College HUNKS, Junk King, HomeAdvisor surveys) and a rate-card analog from 445 anonymized broker tickets. Once we train on Lloyd Park's own historical jobs, the custom model replaces both.
Inbound calls and texts hit a trained AI agent — Mira — that qualifies the lead, captures contact info, and texts a one-tap photo upload link. 24/7, zero hold time. The qualified lead flows straight into the vision pipeline below.
Drag in any image of a junk-removal job — a curbside pile, a garage, an office cleanout. The vision model identifies items, estimates volume, flags hazards.
The system scans every registered crew's calendar — current location, route load, certifications, vehicle capacity — and picks the right team for this job. Tap below to run the dispatch logic.
Once a crew is locked in, the system texts the customer their crew, ETA window, and a one-tap confirm link. If they don't reply within 2 minutes, an AI voice agent calls them.
Crew completes the job, taps "done" in the field app. Customer's stored card runs automatically; receipt sends via SMS + email; the line item drops into accounting.
The quote shown right now blends two inputs: 2026 broker market rates (incl. dump fees, labor, fuel) and an analog rate-card floor from 205 priced broker tickets. Once we ingest Lloyd Park's historical jobs — quote, win/loss, final billed, margin — we train a custom pricing model on your ground truth. It replaces both inputs and tunes to your conversion patterns, your geographic mix, and your target margin per job.
Quoted ranges from public junk-removal pricing pages, normalized to one 15-cu-yd truck. Used as the demo's first pricing input until your historical data replaces it.
From 205 anonymized broker tickets where Not-To-Exceed was captured. Three deterministic tiers.
From 205 tickets where Not-To-Exceed was captured.
What the customer said the job was for — and what it priced at.
All identifiers anonymized. Real descriptions, real prices.
First 30 days replicates this demo end-to-end on Lloyd Park's own data and accounts. 60-90 days adds the ML lift and the broker network expansion.
The voice intake and photo analysis both call Google Gemini. The voice agent also speaks back via your browser's voices. Key stays in this browser only.