Currently using pen and paper as well as excel and word. That's the starting point for most cleaning companies, and it's why the owner ends up taking care of all scheduling, client communications, administrative issues, everything. One person doing everything, with the cleaners as the backbone of the business. The cleaners are the make or break point: even the most powerful software is useless if your team won't use it. We build the full operational layer, one place that handles estimates, invoices, and payments, from quote to payment without losing any job details.
Off-the-shelf field service platforms cover basic job creation. We build the full operational layer: recurring booking logic, staff routing, mobile checklist apps, and automated customer communication that keeps jobs running without manual coordination.
Job scheduling with recurring bookings, staff assignment, and route optimization
Mobile apps for cleaners with check-in/out, checklists, and photo documentation
Customer portal for booking, communication, and service history
Invoicing, payments, and franchise management for multi-location operations
The problem
Dispatching jobs from a spreadsheet and chasing cleaners via text because your scheduling tool can't handle recurring bookings, route changes, and last-minute staff swaps at the same time?
Losing repeat customers because there's no automated follow-up between cleans and no way to flag quality issues before a client complaint lands?
Short answer
Cleaning business software is a custom platform that runs a cleaning company's daily operations: recurring booking schedules, crew dispatch with route optimization, a mobile app with GPS check-in and photo proof, a customer portal, and automated invoicing. RaftLabs builds it for residential, commercial, and franchise operators, launching a validated v1 in 12 to 14 weeks at a fixed cost.
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01 Diagnosis
The owner does everything, the crew runs on pen and paper
Currently using pen and paper as well as excel and word. That's the starting point for most cleaning companies, and it's why one person ends up taking care of all scheduling, client communications, administrative issues, everything. The cleaners have to do is show up, and the owner does the rest. A single absence on a busy day requires manual re-routing of multiple jobs across multiple staff. Commercial cleaning runs on roughly 200% average annual staff turnover (ISSA), so someone is always new and always being slotted into a schedule they do not know yet. Every hour spent on that phone round is an hour not spent on clients or growth.The fix is a scheduling engine that knows who is available, where they are, and which jobs belong to whom, and rebuilds the day when someone calls in. The outcome is an operation that survives the sick day.
App sprawl: switching between apps got messy
I started with separate tools for everything, but switching between apps got messy. One tool for scheduling, another for invoicing, a CRM somewhere else, team management in a chat app. Job details get lost between quote and payment. A solo-cleaner tool won't scale for a growing commercial operation: multi-site contracts, dozens of cleaners, inspections, and client requests require software that supports your business stage and operational complexity.One place that handles estimates, invoices, and payments. The workflow runs smooth from quote to payment without losing any job details. The outcome is one system the whole business lives in.
No GPS check-in or photo documentation, leaving the business exposed
When a customer says a room wasn't cleaned and the cleaner says it was, there's no record to settle the dispute. Without timestamped check-in data and before-and-after photos stored against the job, the business either absorbs the complaint or risks the relationship by arguing without evidence. Either way, you lose.GPS-verified check-in records the exact time and location when a cleaner arrives and departs. Photos taken at the start and end of each job create a timestamped before-and-after record stored against the job. This changes dispute resolution from a word-against-word argument to a documented audit trail. The outcome is protection your business already earned.
No-show economics: the software has to enforce the policy, not just record the appointment
No-shows burn the day. When a client no-shows and you can't replace the slot, you reschedule, offer a discount, and eat the cost. When they book themselves and use no show, they accept the terms, but only if the terms were shown before payment. Software that records the appointment but can't enforce the cancellation policy leaves the economics unchanged.A platform with the cancellation and no-show policy shown before payment, automated enforcement on late cancellations, and rescheduling that fills the freed slot keeps the day productive. The outcome is a policy that pays for itself.
02 What we ship
Recurring booking management with configurable frequencies: weekly, fortnightly, monthly, and custom intervals. Per-property scheduling rules cover specific arrival windows, preferred staff, access instructions, and service variations. Automatic job generation from recurring booking rules means next week's schedule builds itself. Drag-and-drop rescheduling handles staff call-ins. Conflict detection surfaces double-bookings and travel time clashes before they become a problem on the day. Customers receive notification of scheduled jobs with confirmation links and the ability to skip or reschedule.
Staff assignment based on availability, location proximity, customer preference, and skill level. Route optimization groups jobs by geography to reduce drive time between cleans. Daily run sheets for each cleaner show job order, address, arrival window, and property notes. Real-time schedule visibility for dispatchers shows who is on which job, who has finished early, and which jobs still need coverage. Automated assignment suggestions fire when a regular cleaner is unavailable. Distance and travel time reporting tracks route efficiency and fuel costs across the team.
Mobile app for cleaning staff with GPS-verified check-in and check-out at each job. Property-specific checklists load automatically when a cleaner arrives: a different checklist for a deep clean versus a maintenance clean. Photo capture for before-and-after documentation stores images against the job record, available to the customer on request. Damage reporting includes photo evidence and supervisor notification. Supply request logging captures when a property runs low on products. Offline mode keeps the app working without reliable mobile signal inside buildings. Job notes and customer preference reminders appear before the cleaner enters the property.
Customer profiles with property details, access information, service history, and cleaning preferences in one place. Online quote request forms with service type, property size, and frequency selection generate quotes automatically based on your pricing rules and send them to the customer for approval. Online booking for new and returning customers with real-time availability. Customer communication history, messages, complaints, special requests, and schedule changes, is logged against the customer record. A customer-facing portal lets clients view upcoming jobs, review service history, and raise queries without calling your office.
Automated invoicing triggers on job completion: an invoice generates when the cleaner checks out and goes to the customer the same day. Recurring invoice management handles contract customers billed weekly or monthly. Online payment processing covers card, direct debit, and bank transfer. Payment reconciliation against jobs shows which customers are paid up and which are overdue at a glance. Automated payment reminder sequences follow up on overdue invoices. Integration with Xero, QuickBooks, or your existing accounting system means payment data flows without manual data entry.
Customer loyalty programs for residential cleaning: points earning per clean, referral rewards for new customer introductions, and promotional offers for clients who book additional services. Referral tracking with automated reward delivery when a referred customer completes their first booking. Multi-location and franchise management with shared operational standards, per-location reporting, and centralized customer management. Franchise owner dashboards show revenue, job completion rates, customer satisfaction scores, and staff performance by location. A brand-consistent customer-facing experience runs across all franchise locations with location-specific scheduling and pricing rules.
The cleaning software question is really about whether the platform runs the whole job, or just part of it.
Buy or rent
Jobber or ZenMaid, for the solo cleaner
A game changer that doesn't break the budget, until the operation outgrows it.
Wait, while it's pen and paper
A small crew before the owner-doing-everything model breaks and the app sprawl starts.
Build custom
When switching between apps got messy
One place that handles estimates, invoices, and payments. From quote to payment without losing job details.
When the cleaners won't touch it
The cleaners are the backbone of the business. The app has to work on their phones, offline, in thirty seconds.
When the operation outgrows the solo tool
Multi-site contracts, dozens of cleaners, inspections. Software that supports your business stage.
Bottom line
Stay on the platform while the crew is small and the budget is tight. Build when the app sprawl, the adoption problem, or the operational complexity outgrow it.
04 How we work
05 Track record
08 Why us
09 Questions
Off-the-shelf field service platforms handle standard scheduling and invoicing well for most cleaning operations. Custom software becomes the right choice in a few clear cases. Your recurring booking logic outgrows what the platform supports. You run a franchise model and need per-franchise reporting alongside group-level oversight. Your mobile app requirements go beyond the platform's mobile experience. Or you're building cleaning software to sell to other operators. The wrong answer is building custom when a platform would work: subscription costs are lower than development and maintenance over time. We'll tell you honestly if a platform would serve you better.
GPS-verified check-in records the exact time and location when a cleaner arrives and departs. Photos taken at the start and end of each job create a timestamped before-and-after record stored against the job. If a customer claims a room wasn't cleaned or an item was damaged, you have a documented record of what the property looked like when your team arrived and when they left. The photo evidence is stored in the job record and can be shared with the customer directly from the admin dashboard. This changes dispute resolution from a word-against-word argument to a documented audit trail. It protects your business and builds customer trust.
Yes. Residential and commercial cleaning have different operational models. Residential jobs are typically recurring fixed-frequency visits at private addresses. Commercial contracts often involve daily or weekly visits to business premises with specific access windows, multiple floors, and different cleaning standards per area. A platform that handles both requires a flexible job type model that supports these different configurations without forcing one model onto the other. We design the data model to support your actual operational mix during discovery.
Most teams launch a validated v1 in 12 to 14 weeks, then grow it. Cost depends on the number of locations, franchise complexity, integration requirements, and how sophisticated the route optimization needs to be. We scope every project before pricing it. Fixed cost, agreed before development starts, no hourly billing.
This is the first question we design around, because even the most powerful software is useless if the team won't use it. The cleaner app is built for the reality of the crew: it works on older smartphones, offline inside buildings with poor signal, and with minimal taps per job. Check-in, checklist, photos, check-out. The design assumes the cleaner has thirty seconds between jobs, not a desk and a training manual. We test the app with actual cleaners during the build, not with managers.
When a cleaner calls in sick, the system shows the dispatcher which jobs are affected and suggests available replacements based on location proximity, skill level, and workload. Reassignment is drag-and-drop on the schedule board. When a replacement is assigned, the customer receives an automated notification with the updated arrival window. Affected jobs can also be flagged to check whether any can be rescheduled rather than covered, based on the client's preferences stored in their profile. This replaces the two-hour phone round that most cleaning operations run manually when someone calls out.
Workflow automation
Job scheduling, cleaner notifications, customer reminders, invoice dispatch
Custom software development
Cleaning business platforms, franchise tools, and customer portals
AI chatbot development
Booking bots, service query handling, and rescheduling automation
Mobile app development
Cleaner apps with GPS check-in, checklists, and offline mode
Tell us the operational challenge, scheduling, dispatch, mobile apps, or franchise management. We'll tell you what we'd build and how.
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Proof
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