Window Cleaning Software Development

Crew-routing and pane-count quoting logic tuned to your operation, not a rented template

Window cleaning software from a generic multi-trade platform treats window cleaning as one more landing page bolted onto scheduling logic built for plumbers and HVAC techs. Multi-crew route density looks nothing like a single-tech operator's route, and the pane-count and story-height math a company has refined over years of quoting isn't the workflow baked into a shared SaaS platform. We build window cleaning software around your actual crew-routing geography and your own pane-count and story-height pricing logic, not a rigid workflow every other trade on the same platform is also running.

  • Multi-crew route scheduling tuned to your actual stop density and truck count

  • Pane-count and story-height quoting logic matched to how you actually price jobs

  • Customer portal with service history, photos, and billing

  • Fixed-cost delivery, scoped up front, with source code ownership

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See our work

The problem

Sound familiar?

  • Per-seat fees compounding every time you add a tech or a truck, so growth makes the software bill bigger instead of the business more efficient?

  • Pane-count and story-height pricing still worked out in a spreadsheet because the platform you're on doesn't model the math your quotes actually run on?

Short answer

Window cleaning business software development covers multi-crew route scheduling and optimization, pane-count and story-height quoting logic, customer portals with service history and billing, and route-density data models tuned to a specific operator's stop pattern. RaftLabs builds this as a fixed-cost alternative to per-seat SaaS pricing from platforms like Jobber and Housecall Pro. An MVP build typically runs $20,000-$50,000 over 12-15 weeks; a full build with pane-count/story-height quoting and multi-crew route optimization runs $50,000-$100,000 over 15-18 weeks, at a fixed cost scoped after discovery.

Key takeaways

  • Per-seat SaaS pricing compounds as a crew and truck fleet grows, turning growth into a bigger software bill instead of a more efficient operation.
  • Pane-count and story-height quoting math is what generic multi-trade platforms model poorly, forcing operators back into spreadsheet workarounds.
  • Multi-crew route-optimization logic works best when it's tuned to many-small-stops density, not a generic scheduling algorithm shared across every trade on the platform.
  • A full build with pane-count/story-height quoting and multi-crew route optimization typically runs $50,000-$100,000 over 15-18 weeks, at a fixed cost scoped after discovery.

Trusted by

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Window cleaning software delivery, by the numbers

products shipped
100+
cost delivery
Fixed
week delivery cycles
12-18

Own the crew-routing and quoting logic instead of renting a generic version of it

Per-seat pricing punishes exactly the growth a window cleaning company wants: add a tech or a truck, the bill goes up, and the routing and quoting logic underneath stays the same rigid template every other trade on the platform is also running. We build the crew-routing and pane-count/story-height quoting data model around your actual stop density and your own pricing logic, so the software fits the operation instead of the other way around.

Capabilities

What we build

  • 01
    Multi-crew route scheduling and optimization

    Route logic tuned to your actual crew count, many-small-stops density, and drive times, not a generic scheduling algorithm applied the same way to every trade.

  • 02
    Pane-count and story-height quoting

    Quote calculation matched to your actual pricing model - per pane, per story, interior and exterior, screens and tracks - not the flat per-job pricing a shared platform defaults to.

  • 03
    Property and job history

    Window-count and access records tracked per property, so a crew arrives at a stop with the full pane count and job history instead of re-measuring every visit.

  • 04
    Customer portal

    Service history, before-and-after photos, and billing available to customers directly, cutting the "when are you coming" calls the office fields every week.

  • 05
    Invoicing and payment

    Automatic invoice generation on job completion, recurring billing for maintenance plans, and online payment, synced to your accounting system.

  • 06
    Crew mobile app

    Daily route, stop details, pane-count checklist, and photo capture in one app, with offline support so a spotty signal at a high-rise doesn't stall the job.

How we work

From route mapping to live software

  1. Weeks 1-2
    01

    Discovery and route scoping

    We map your crew count, stop density, truck count, and pane-count/story-height pricing model. You leave with a written scope and a fixed-price quote.

  2. Weeks 2-5
    02

    Data model and integration design

    We design the route-optimization logic, the pane-count and story-height quoting data model, and any accounting or payment integrations against your actual operation.

  3. Weeks 5-14
    03

    Build in two-week sprints

    You review working software at each sprint. Route scheduling, quoting, and the customer portal are built and tested incrementally.

  4. Final 2-3 weeks
    04

    Field testing and rollout

    The system runs against real crews and routes so your team can validate it before you retire the platform you're replacing.

Why us

Why window cleaning companies choose RaftLabs

  • 01
    Senior engineers build what they scope

    The engineers who map your route density and pricing model also build the software. No offshore handoff after the contract is signed.

  • 02
    Fixed price before development starts

    We scope the work, calculate the cost, and lock it in writing before any development starts.

  • 03
    Founded 2015, 100+ products shipped

    A track record building field-service and route-based software for operators who outgrew a rented platform's rigid logic.

  • 04
    You own the source code

    No per-seat fees, no vendor lock-in. The codebase, and everything built into it, is yours.

Have a window cleaning software project?

Tell us your crew count, route density, and pricing model. We'll scope a fixed-cost build.

Scope your window cleaning software project

Related services

What clients say

What clients say about working with us

Three-year average engagement. Founders and operators describing the work in their own words. No marketing varnish.

Amer Abu Khajil
Amer Abu Khajil
Canada flagCanada
Founder, Peak Studios & Perceptional

I found RaftLabs to be the perfect partner for Perceptional, with their expertise in helping startup founders build MVPs, a free consultation, a prototype that matched my vision, and their unwavering support.

01 / 06

Window Cleaning Business Software Development, scoped in one call.

Tell us what's broken. Within one business day you get a straight take on cost, timeline, and the right first step. No deck, no pressure.

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Frequently asked questions

Window cleaning business software schedules and routes multi-crew teams across a territory, calculates pane-count and story-height based quotes, tracks job and property history, and gives customers a portal to see visit records and pay invoices. It's the software layer that runs a multi-crew window cleaning operation day to day.

Yes. We build the quoting logic around your actual pricing model - per pane, per story, interior and exterior, screens and tracks - during discovery, rather than the flat per-job or per-hour pricing most generic platforms default to.

Yes. We build route-optimization logic tuned to your actual crew count, stop density, and drive times during discovery, rather than a generic scheduling algorithm built for a different kind of trade.

An MVP build typically runs $20,000-$50,000 and takes 12-15 weeks. A full build with pane-count and story-height quoting plus multi-crew route optimization runs $50,000-$100,000 over 15-18 weeks. We scope a fixed cost after discovery.

Jobber and Housecall Pro are strong general-purpose tools, and both run dedicated window-cleaning landing pages. Custom software makes sense once per-seat fees are compounding faster than the business grows, or your pane-count and story-height pricing math doesn't fit a workflow built for a dozen other trades at once. We help assess the right fit during discovery.

Yes. A customer portal showing service history, visit photos, and billing is a standard part of most window cleaning software builds, and we scope it alongside the crew- and route-facing tools.

Work with us

Tell us what you need. We'll tell you what it would take.

We scope Window Cleaning Business Software Development in 30 minutes. You walk away with a clear cost, timeline, and approach. No commitment required.

  • Scope and cost agreed before work starts. No surprises. No obligation.
  • Working prototype within 3 weeks of kickoff.
  • Pay by milestone. You see progress before each invoice.
  • 60-day post-launch warranty. Bug fixes, UI tweaks, and deployment support. No retainer.
  • All conversations are NDA-protected.