Apps Like Gliscent Laundry for iPhone and iPad
Ranked alternatives
Showing 161–180 of 1,000 ranked alternatives.
iClean Dry Cleaning & Laundry
KS CLEANING SERVICES, INC
Pick up and deliver in 24 hours
Schedule pick up and track delivery of garments through the . Set delivery preferences and view order status. Pay for services securely and receive notifications about pickup and delivery times.
Lucy’s Laundry
Ocean Breeze Pacific, LLC
Schedule laundry and dry cleaning pickup.
The app allows users to schedule laundry or dry cleaning pickups. It serves Orange County, California.
NoScrubs: Laundry Service
No Scrubs Inc
Book pickup, track delivery, fold neatly
Schedule pickups by selecting a time slot. Track delivery status and view estimated arrival times. Receive neatly folded within a 2-hour window. Cancel or reschedule pickups through the . Set reminders for upcoming pickups.
Gentle Wash Laundromat
R AND B SELF SERVICE LAUNDROMAT LLC
Order laundry and get same-day delivery
Schedule laundry or dry cleaning pickups and deliveries. Select service type and time. Track order status and receive updates. Confirm delivery address and payment method. Cancel or reschedule appointments.
NAL LAUNDRY
KioSoft Technologies LLC
Pay for cycles via Bluetooth
Manage transactions by scanning QR codes and using Bluetooth to communicate with washers or dryers. Purchase credit through the and apply it to cycles. View transaction history and account balances.
ihateironing: Laundry Service
ihateironing.com ltd
Book and schedule pickups
Book services with free collection and delivery. Schedule pickups and drop-offs with 24-hour turnaround. Reserve time slots from 7am to 9:30pm. Arrange driver pickup in as little as 1 hour. Track status and manage bookings through the .
Folded- Laundry & Dry Cleaning
SoupieIV, LLC
Schedule pick-up and track your
Schedule pick-up times and select services like wash and fold or dry . Track order status and receive updates. Pay securely through the and manage multiple orders.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.