Cleaning Business Scheduling Software

One-off and recurring booking captures service type (standard clean, deep clean, move-in/move-out, commercial), duration, room count, property access notes, and any customer preferences. Recurring service patterns are configured at the customer level -- weekly, bi-weekly, or monthly on specific days -- and the schedule auto-generates future jobs for the entire pattern without manual re-entry each period. When a customer requests a schedule change (moving their bi-weekly Monday clean to Friday), the system updates all future occurrences, not just the next one.

Preferred cleaner assignment is stored on the customer record and applied automatically to every recurring job. Scheduling respects the preferred cleaner's availability: if the preferred cleaner is already at capacity for that slot, the system flags the conflict for coordinator resolution rather than silently reassigning. Schedule view by cleaner shows hours booked versus available hours for the week, making capacity gaps visible before they become under-staffing problems on the day. Coordinator view shows the day's jobs on a map-like board sorted by geographic zone so the distribution of work across the cleaner pool is immediately apparent.

New one-off bookings are checked against the preferred cleaner's schedule in real time. Job capacity per cleaner -- maximum hours per day, minimum travel time between jobs -- is configurable so the system does not book a cleaner for back-to-back jobs on opposite sides of the city. Schedule changes are pushed to the cleaner's app immediately via push notification so cleaners are never working from an outdated schedule they downloaded at the start of the day.

When a cleaner reports as unavailable -- via the mobile app or the coordinator recording it on their behalf -- the system immediately identifies every job assigned to that cleaner during the absence period, grouped by date and zone. The cover-finding algorithm searches the available cleaner pool filtered by: free at those times, assigned to the same geographic zone or within the configured travel radius, carrying the correct service type on their profile (a cleaner certified for commercial cleaning only is not offered residential cover jobs), and not already at daily hour capacity.

Route optimisation via Google Maps Distance Matrix API calculates travel time between each cover cleaner's last confirmed job and the affected job location, ranking available cleaners by the one with the shortest route to minimise customer impact from a late arrival. A cover offer is sent to the top-ranked available cleaner via in-app push notification. If they accept within the configured response window (15 minutes by default), the assignment is confirmed. If they decline or do not respond, the offer moves to the next candidate automatically.

The customer is notified by SMS when cover is confirmed, with the cover cleaner's name and revised estimated arrival time. The original cleaner is marked absent for that job in the timesheet. If no internal cover can be found within a configurable time window, the coordinator receives an escalation alert listing the affected jobs and remaining available cleaners outside the automatic filter criteria, so they can make a manual decision. Absence frequency per cleaner is tracked over rolling 13-week and 52-week periods for operational review and performance management.

Self-service booking for new and existing customers removes the phone and email booking overhead. New customers enter service type, number of bedrooms and bathrooms, specific requirements (pet-friendly products, no bleach, key safe access code), and preferred date and time. The portal shows available slots based on real cleaner capacity in the customer's area rather than asking the customer to call back to confirm availability. Background check status via Checkr is displayed for each cleaner the customer may be matched with, giving customers confidence in who enters their home.

Instant booking confirmation by email and SMS includes job details, the assigned cleaner's name, and an iCal attachment for the customer's calendar. Existing recurring customers log in to manage their schedule without contacting the office: skip a visit with reason (holiday, guests staying), request a temporary date change, add a one-off deep clean before or after a regular visit, or update property access details. Skipped visits can optionally trigger an automatic make-good credit or scheduling of a replacement visit depending on the operator's policy.

New customer sign-up captures property details at first booking -- bedroom and bathroom count, parking instructions, key/alarm codes stored encrypted -- so subsequent bookings do not require re-entry. Tip management is handled through the customer portal: customers can add a tip at job completion that flows through the payment processor (Stripe) and is recorded against the cleaner's pay record for the period, feeding into payroll processing via ADP or Gusto integration at pay run time.

Daily schedule on mobile shows the cleaner's jobs in order with customer name, full property address, and turn-by-turn navigation (Google Maps deep link). Property access notes -- key safe location and code, alarm code, gate code, preferred parking -- are visible on arrival so the cleaner does not need to call the coordinator for information that should already be in the system. Cleaning supply inventory needed for the property is listed by job so the cleaner can verify they have the right products before departure.

Geofenced clock-in and clock-out captures arrival and departure time automatically when the cleaner's device enters or exits the geofence around the property address, with a manual override available for properties where GPS accuracy is insufficient. This replaces manual timesheet entry and gives the coordinator accurate job durations for billing verification and payroll. Timesheet data feeds directly into payroll processing via ADP Workforce Now or Gusto API integration at each pay run without manual data entry.

Task checklist by room is configured per service type -- a standard clean checklist differs from a deep clean or a move-out clean. Cleaners mark items complete in sequence. The checklist structure ensures nothing is missed and gives the coordinator evidence of what was completed if a customer raises a quality concern. Before and after photo capture is required on specific items (any pre-existing damage noted at arrival, final room photos at completion) with photos attached to the job record and visible to the coordinator. Job completion recorded in the app triggers the automated post-clean customer communication and invoice generation in real time. Background check integration via Checkr runs the initial screening and monitors for new records on a continuous basis.

Automated communication runs on triggers, not manual sending. Booking confirmation goes out by SMS and email within seconds of job creation, with job date, time, assigned cleaner name, and a link to the customer portal for any changes. Day-before reminder fires the evening before each visit -- recurring visits included, so customers who have had the same Monday morning cleaner for six months still get a reminder they can act on if plans have changed.

Cleaner on-the-way notification triggers when the cleaner departs their previous job (or at a configurable fixed time before the booking) and includes the cleaner's first name, estimated arrival time based on current travel time from Google Maps, and a link to the customer's booking details. Customers who know the cleaner is on the way cancel less and answer the door rather than leaving an access code note.

Post-clean summary is sent within 30 minutes of job completion, including the checklist items completed, any notes the cleaner recorded, and the completion photos for the rooms marked as photographed. If the customer raises an issue in the post-clean feedback (rating below a threshold or a specific complaint), a follow-up message from the coordinator queue is triggered automatically so the issue is addressed before it becomes a churn event or a negative review.

All automated messages are logged against the customer record with send timestamp, delivery status (delivered, failed, bounced), and message content. Communication timing windows are configurable per message type so customers are not sent a next-day reminder at 11pm. Message content is configurable by the operations team without code changes -- tone, wording, and the information included in each message type can be updated as the business's communication standards evolve.

Invoice generation triggers automatically on job completion -- no manual step between the cleaner marking the job done and the customer receiving the invoice. The invoice line items are populated from the job record: service type, duration, additional services completed, supply charges, and any applicable tax. For recurring customers with a fixed monthly subscription, Stripe Subscriptions handles the charge automatically at the billing cycle date without generating an individual invoice per visit -- the customer sees a consolidated monthly charge with a breakdown of visits included.

For pay-per-visit customers, the invoice includes an online payment link (Stripe Payment Intent) so the customer can pay by card directly from the email without creating an account. For customers with an unpaid balance, automated payment reminders are sent at configurable intervals (3 days, 7 days, 14 days after the due date) with escalating urgency in the message. After a configurable number of failed contacts, the coordinator receives an outstanding balance alert to handle the account manually.

Supply inventory tracking records the consumables used per job type and flags when stock at a depot or van location falls below the reorder threshold, preventing a cleaner arriving without the products they need. Xero and QuickBooks Online integration via their respective REST APIs reconciles invoices, payments, and credits automatically so the accounts team is not manually reconciling the cleaning system's records against the accounting software. Payroll data -- hours worked, tips received, deductions -- flows to ADP or Gusto at each pay run via API, eliminating the spreadsheet export that sits between most scheduling software and payroll systems.