Itoro & Don's Kwik Wash app icon

Apps Like Itoro & Don's Kwik Wash for iPhone and iPad

by SIFABSO TECHNOLOGY LLP★ 5.01 ratingsLifestyleFreeData updated 2026-09-06

Itoro & Don's Kwik Wash screenshots

Ranked alternatives

Showing 1–20 of 1,000 ranked alternatives.

  1. Wash-it-Kwik app icon

    Wash-it-Kwik

    FS LAUNDRY CORPORATION

    Order laundry and schedule pickups

    Schedule and track laundry pickups and deliveries. View service areas and delivery times. Confirm orders and receive updates on shipment status. Pay via and view past orders.

    ★ 5.020 ratingsLifestyleFreeData updated 2026-09-10
  2. Kwik Rewards app icon

    Kwik Rewards

    Kwik Trip, Inc.

    Earn by scanning your card at Trip

    Track progress with digital punchcards and earn free food or merchandise after 15 visits. Redeem cards to get discounts on fuel and add exclusive coupons to purchases. Scan digital card for instant tracking and fuel savings.

    ★ 4.8313,893 ratingsLifestyleFreeData updated 2026-09-06
  3. WASH-Connect app icon

    WASH-Connect

    WASH Multifamily Laundry Systems, LLC

    Pay for laundry, check machines, request service,

    Manage laundry payments with in- mobile funding and machine access. Check machine status and receive real-time completion alerts. Request service, submit tips, and access support. Track laundry progress remotely from any location.

    ★ 4.4189,819 ratingsUtilitiesFreeData updated 2026-09-10
  4. DryEazy app icon

    DryEazy

    SIFABSO TECHNOLOGY LLP

    ★ 0.00 ratingsLifestyleFreeData updated 2026-09-06
  5. Swan Clean Laundry app icon

    Swan Clean Laundry

    SIFABSO TECHNOLOGY LLP

    Order and track your load

    Manage tasks with real-time tracking and order updates. Schedule pickups and drop-offs, view service history, and receive notifications. Set preferences for detergent and temperature. Pay via mobile wallet and receive confirmation receipts.

    ★ 0.00 ratingsLifestyleFreeData updated 2026-09-06

How we rank alternatives

Apps are ranked by functional similarity, category fit, rating confidence, and popularity.