27 problems window cleaning firms bring us, each with the cause, what it costs and what we build to fix it.
Window cleaning rounds grow house by house until every day criss-crosses town. We build round planning that groups customers by area and frequency.
Rain days push window cleaning rounds out of order until nobody knows who is due. We build rescheduling that shifts the round and texts affected customers.
Window cleaners collect cash, card and bank transfers house by house and lose track of who has paid. We build payment records tied to every clean.
Window cleaners let unpaid cleans build up because chasing feels awkward and takes evenings. We build a polite reminder routine that runs after each clean.
Window cleaners arrive to locked side gates and skip back windows, then argue about the price. We build pre-clean texts and access notes per customer.
Commercial window cleaning jobs needing powered access or permits get booked late or clash. We build scheduling that plans kit, people and paperwork together.
Window cleaners mention gutter and fascia cleans at the door and forget who said yes. We build offers, quotes and bookings tied to the round customer list.
Window cleaners get enquiries from leaflets, Facebook and websites while up a pole, and reply days later. We build enquiry capture that quotes and books fast.
Window cleaning prices drift house by house until neighbours compare notes. We build pricing rules by house type and extras, for quotes and price reviews.
Window cleaners add solar panel cleaning but it doesn't fit the round's cycle or kit. We build a separate schedule with panel details, quotes and reminders.
Window cleaning rounds change hands on a notebook of addresses that doesn't match reality. We build a clean customer list with history, payments and notes.
Window cleaners adding a second van split the round by memory, and both vans end up crossing town. We build round splitting by area, workload and house notes.
Window cleaners change DI resin and RO filters by guesswork and never know the pure water cost per clean. We build tracking for litres, TDS and changes.
Window cleaners take one-off cleans and frequency changes by text and forget them. We build a request list that books one-offs and updates each round cycle.
Window cleaning customers say you never came or only did the front, and you have nothing to show. We build a clean record with time, location and photos.
Window cleaners want customers on Direct Debit but switching hundreds by hand stalls. We build a switchover campaign with GoCardless and tracking.
Commercial window cleaning invoices stall on purchase orders, site references and monthly cut-offs. We build contract invoicing matching each client's rules.
Shop front window cleaning rounds must finish before opening, around parking and deliveries. We build a timed high street route with notes and shop sign-off.
Window cleaning owners work out pay from notebooks and texts, and cleaners query it. We build pay records from the round: houses done, value and hours.
Window cleaning complaints about smears and missed panes arrive by text and get lost. We build a complaint log that books re-cleans and spots patterns.
Window cleaning customers move and the round loses the house, because nobody asks the new owners. We build a move-out process that keeps the house on the round.
Window cleaners doing builders' cleans for developers lose track of glass cleaned, sign-offs and return visits. We build site tracking tied to invoices.
Commercial window cleaning clients keep asking for insurance certificates, method statements and training records. We build a document store with expiry alerts.
Window cleaning blocks of flats mixes agent-paid communal glass with residents paying for their own flats. We build block records that split and bill both.
Window cleaners offering inside cleans juggle appointments that need customers home. We build appointment booking that fits inside cleans around the round.
Window cleaners put off price rises because telling hundreds of customers is awkward. We build a price rise run that notifies each customer and updates records.
Window cleaners know their round's takings but not which streets earn well per hour after travel and time. We build a street-by-street view from your records.