Cleaning business software for residential companies, commercial operations, and franchises that need scheduling, crew dispatch, and customer management built around how the business actually runs.
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
What you can count on
Retention
3+ years
Average client relationship across active accounts
First milestone
Week 1
A straight read on what to keep and what to rebuild
Pricing
Fixed price
Scope and cost agreed before work starts
Team
No handoffs
The senior engineers who scope the build also ship it
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.
Trusted by
Scheduling software built for retail businesses doesn't understand recurring cleans, last-minute team changes, or the difference between a 3-hour deep clean and a 45-minute express visit. Cleaning operations need a system that handles the specific logic of the business: recurring booking frequencies, per-property instructions, staff availability on short notice, route efficiency, and proof of service that protects you when a client disputes the work.
We've built the dispatch, routing, and mobile field-ops layer for service and multi-location operators in neighbouring trades. We know what an operations manager actually needs to run a cleaning crew, not a generic job board with a cleaning skin applied.
Crew dispatch and job assignment managed in spreadsheets that break under pressure
A single absence on a busy day requires manual re-routing of multiple jobs across multiple staff. Without a system that knows who is available, where they are, and which jobs belong to whom, the operations manager spends two hours rebuilding a schedule that should have rebuilt itself. 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.
No GPS check-in or photo documentation, leaving the business exposed when a client disputes whether a clean happened
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.
Client recurring schedule management done manually, creating errors every time something changes
When a client reschedules, someone has to manually update the recurring booking, notify the cleaner, and check that no other jobs conflict. Without a system that propagates those changes automatically, errors accumulate. Clients notice inconsistency before they say anything. By the time they cancel, the problem has been building for months.
Invoice and payment collection delayed because invoicing happens manually after each job
Invoices go out when someone gets around to creating them, sometimes days after the job is complete. For recurring clients, that delay compounds across dozens of jobs each week. Payment collection is chased manually. Cash flow suffers, and the admin cost of chasing late payments erodes the margin on every clean.
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.
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. A focused v1 with scheduling, staff routing, a cleaner mobile app, and a customer portal typically runs $30,000 to $60,000. A full platform adding invoicing, loyalty, and multi-location or franchise management typically runs $75,000 to $130,000. 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.
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.
What clients say
Three-year average engagement. Founders and operators describing the work in their own words. No marketing varnish.
USAAll of the sprints were completed on schedule and on budget. We highly recommend RaftLabs!
Business Process Automation
Automate job scheduling, cleaner notifications, customer reminders, invoice dispatch, and quality inspection workflows.
Custom Software Development
Custom cleaning business platforms, franchise management tools, and customer portals built for your service model.
AI Chatbot Development
Customer-facing booking bots, service query handling, and rescheduling automation.
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