---
title: Magnoli Reviews
meta_title: 'Magnoli Reviews 2026: Details, Pricing, & Features | G2'
meta_description: Filter reviews by the users' company size, role or industry to find
  out how Magnoli works for a business like yours.
date_modified: '2026-07-22'
parent_category:
  name: Vertical Industry
  url: https://www.g2.com/categories/vertical-industry
---

# Magnoli Reviews
**Vendor:** Magnoli Technologies  
**Category:** [Dry Cleaning Software](https://www.g2.com/categories/dry-cleaning)
## About Magnoli
Magnoli is all-in-one management software built specifically for dry cleaners. We don&#39;t charge by the station, we charge by location—you can scale your business. Marketing is not an upcharge, it&#39;s just another tool in the Magnoli toolbox It replaces the patchwork of point-of-sale, production tracking, employee management, and reporting tools that most cleaners cobble together, with a single platform that runs the front counter and the back plant. On the counter side, Magnoli handles order intake, pricing, and customer accounts through pos.magnoli. On the production side, it tracks garments through cleaning, pressing, and assembly, integrates with conveyor and hanging inventory systems like MetalProgetti, and gives staff an instant snapshot of where everything stands. Instantly track your sales, labor, and plant performance across one location or many, without needing separate reporting tools bolted on afterward. Magnoli is built for how dry cleaning actually runs day to day: high transaction volume, seasonal swings, and staff who need something they can learn on Day 1, not day 30. It&#39;s designed to close the profit gap that plagues the industry, where too many owners are running blind on true per-order costs, stale customer lists, and labor efficiency. We&#39;re Magnoli, and we aim to close that gap.






- [View Magnoli pricing details and edition comparison](https://www.g2.com/products/magnoli/reviews?section=pricing&secure%5Bexpires_at%5D=2026-07-22+17%3A14%3A38+-0500&secure%5Bsession_id%5D=3597a7eb-8dad-4c87-ad06-15f5bffe2bf9&secure%5Btoken%5D=6fc027ae2465a53d1b0d1c201c6804222dd8b92c1af6af13bafd06d0cf7b7968&format=llm_user)



