LandscapeQC

Landscaping companies in the United States had no proper way to record how good their work actually was. Quality checks happened through photos buried in someone's phone, a quick verbal report, or a spreadsheet. That makes it hard to prove the standard of your work to a property manager, spot a crew whose work is slipping, or hold anyone accountable. LandscapeQC gives them a structured way to do it, and was built for a real client in that business.

A company signs up and adds the properties it maintains, each with the client's name, address and phone number. It then invites its field managers by email. Out on site, a manager picks the property and records an inspection covering up to nine services: mowing, pruning, weed control, mulch beds, gravel beds, plant health, turf health, floriculture health and irrigation. Each one gets a rating out of five, a written note, and up to five photos.

The photos are the point of the whole thing, so they can be marked up before they are attached. The annotation tool lets a manager draw freehand on the image, drop a text label, circle a problem area or box off a section, with undo and redo. Crucially it exports at the photo's real resolution rather than the size shown on the screen, so the detail that made the point in the first place survives into the report.

The part I like most is Lite mode. Crews often work where the signal is bad, and making someone create an account before they can record anything kills adoption on day one. So the entire app works with no account at all, storing properties, reports and photos in the browser itself. When that person signs up later, the dashboard notices the local data, shows them exactly what it found, and uploads everything in one click, converting the stored photos into hosted links and marking each report as synced so nothing goes up twice.

Back in the office, the dashboard shows the team's average rating, how many properties and reports there are, and how each number moved against last week. It ranks the top performers using a score that weighs their average rating at 70 percent and the number of inspections they did at 30 percent, so someone cannot top the list on volume alone. Every property carries a status worked out automatically from when it was last inspected: Current if it was within three days, Active within thirty, and Needs Attention past that, which turns a list of properties into a list of things to chase. Each property also has a six month trend chart and a per service breakdown.

All of it can be exported as a multi page branded PDF built entirely in the browser, opening with the business details, then a table of every property, then each inspection in full with its star ratings, inspector notes and the photos pulled in and embedded. That single file is what gets sent to a property manager who will never log into the system.

Team management sits on top: an admin invites someone by email and that person can join either by typing the code from the email or by clicking the link, whichever suits where they are. Members are either admins or managers, and the navigation changes to match. The platform was built using Next.js for front end with Redux Toolkit for state, an Express and MongoDB backend, and Cloudinary handling the photo storage and delivery.