Moving Estimate NS
AI photo estimates for movers
Moving Estimate NS needed a faster, more consistent way for estimators to quote jobs than a manual walk-through. We built an Android app where staff photograph each room and OpenAI vision reads the furniture back as a priced, itemized estimate.
- 2025
- Android (Kotlin)
- OpenAI vision
- PHP/MySQL API
- Super admin panel
The challenge
Manual visual surveys for moving quotes are slow and inconsistent: two estimators can look at the same room and come back with different cubic-foot numbers, which makes pricing unpredictable for both the company and the customer. Moving Estimate NS needed a way to turn a quick set of room photos into a consistent, itemized estimate that any estimator could produce and any customer could trust, plus a back office to keep branch pricing current.
Who uses it
- Estimator
- Photographs each room on site, reviews the detected items, and generates the priced estimate.
- Super admin
- Manages customers, cubic-foot pricing, and company branches from the web panel.
What we built
We built an Android estimator app where staff photograph each room, and OpenAI vision identifies the items in every photo and estimates their dimensions and cubic footage. Estimators review the detected items per room, adjust pickup and delivery addresses, add extra charges, and generate a priced estimate. A super admin web panel manages customers, cubic-foot pricing, and company branches.
Room-by-room photo capture
Estimators photograph each room in sequence from the Android camera flow before syncing them for analysis.
AI item detection
OpenAI vision identifies the furniture and boxes in every photo and estimates each item's dimensions and cubic footage.
Per-room review
Estimators check the detected items room by room and correct anything the model got wrong before pricing.
Pickup and delivery addresses
Estimators set and adjust pickup and delivery addresses as part of building the estimate.
Extra charges
Add-on charges can be applied on top of the cubic-foot total for stairs, long carries, or special handling.
Cubic-foot pricing
Super admins set the price per cubic foot that the estimate calculation uses.
Branch and customer management
Super admins manage company branches and customer records behind the estimator app.
How it works
- Estimator opens a new estimate and photographs each room with the in-app camera.
- Photos sync to the API, where OpenAI vision detects items and estimates their cubic footage per room.
- Estimator reviews the detected items and corrects any that are wrong.
- Estimator sets pickup and delivery addresses and adds any extra charges.
- App generates a priced, itemized estimate from the cubic-foot total and the branch's price per cubic foot.
Where the AI fits
OpenAI vision reads each room photo and returns the items it finds along with an estimated length, width, and height for each, which the API converts into cubic footage per item and per room. Estimators see this as a draft rather than a final answer: every detected item stays editable in the review step, so a misread object or a wrong dimension gets corrected before the estimate is priced and sent.
- OpenAI vision reads room photos and returns structured item and dimension data
- Output is parsed into a per-item cubic-foot estimate
- Estimators review and correct detected items before pricing, so the model's read is never final
Every part of the product
Android estimator app
Kotlin
The field app estimators use to photograph rooms, review AI results, and generate estimates.
Estimator API
PHP/MySQL
Handles photo uploads, calls OpenAI vision, and stores estimates, items, and pricing.
Super admin panel
PHP web panel
Back office for managing customers, branches, and cubic-foot pricing.
How it’s built
The estimator app and API are split from the super admin panel so field staff only ever see a photo-capture and review flow, while pricing and branch configuration stay in a separate back office. The vision call runs server side: the app uploads photos and the API handles the OpenAI vision request, dimension parsing, and cubic-foot math, so pricing logic lives in one place instead of being duplicated on device. Estimates are built incrementally, room by room, so an estimator can stop, review, and correct before committing to a final number.
- Android
- Kotlin
- PHP
- MySQL
- OpenAI API
- AI vision
Related services: LLM integration AI app development
What clients say about working with us
Verified Fiverr reviews from our clients, quoted word for word.
Venkey is a true professional. Before starting work, he spends a lot of time understanding the organization's dynamics and trying to understand the true function of development. Thanks again for the work done and for having met not just a developer but a wonderful, understanding and always available person!
vladpereverzyevRepeat buyerItaly · AI Mobile Apps
Great experience working with this developer. The app was delivered clean, bug-free, and exactly as requested. Super quick to respond and very detail-oriented, highly recommend!
jamillesodreRepeat buyerBrazil · AI Mobile Apps
"The team knows the craft and are expert in it. I'm impressed with the kind of knowledge they have in this industry and its remarkable to work with them. I highly recommend this team to everyone who is serious about their AI Startups"
sivakumarc45Repeat buyerIndia · AI Technology Consulting
Questions about Moving Estimate NS
What does Moving Estimate NS do?
Moving Estimate NS is an Android app built by Venzpire for a moving company's estimators. Staff photograph each room being moved, and OpenAI vision reads the photos to detect furniture and estimate cubic footage, which the app turns into a priced, itemized estimate after the estimator reviews it.
How does Moving Estimate NS use AI?
It sends each room photo to an OpenAI vision model, which identifies the items in the photo and estimates their dimensions and cubic footage. Venzpire built the estimator app to show these results as an editable per-room list, so estimators can correct the AI's read before the estimate is generated.
Who uses the Moving Estimate NS app?
Estimators use the Android app on site to capture photos and build estimates for customers. Moving Estimate NS staff use a separate super admin web panel, built by Venzpire, to manage customers, branches, and the cubic-foot pricing that the estimates are calculated against.
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