Window Cleaning Software That Tightens Routes, Protects Against Disputes, and Bills Storefronts on Autopilot

Recurring residential window cleaning lives or dies on route density. A tech who drives 20 minutes between stops will struggle to do more than 10 jobs a day, while a tech with tightly clustered stops can do 16 or more. Fieseros looks at every recurring customer on your books, groups them by neighborhood and visit frequency, and produces an optimized weekly schedule that keeps each tech inside a tight geographic area. When a new customer books, Fieseros tells you which tech's route they fit into and which day of the week they should be scheduled for. Most window cleaning companies cut their average drive time per stop by 40 percent within the first month.

Disputes over whether a window was actually cleaned are one of the most common — and frustrating — issues in the window cleaning industry. A storefront manager claims the second-floor panes weren't done, a homeowner says the skylight still looks streaky, and without proof, you end up sending a tech back out for free. Fieseros puts a stop to this. Every tech snaps before and after photos of every pane, all timestamped and attached to the work order. When the dispute call comes in, you pull the photo set, email it to the customer, and the conversation is over. The same photos also make exceptional marketing material for your social channels.

Yes, and that mix is the hallmark of a healthy window cleaning business. Residential jobs are typically one-off or seasonal, billed per visit, and scheduled by route density. Storefront contracts are weekly, bi-weekly, or monthly, billed on a recurring cycle, and managed through the property manager rather than the building owner. Fieseros handles both workflows on the same dispatch board. Storefront contracts auto-generate invoices with payment links after every visit, residential jobs generate a one-time invoice on completion, and you see both revenue streams on a single dashboard. Many window cleaning companies use Fieseros to deliberately grow their storefront book because the recurring revenue smooths out the seasonality of residential work.

Not every window cleaning tech can or should do every job. High exterior panes on a three-story home require a water-fed pole and DI water system, while a ground-floor storefront with interior glass is a traditional squeegee and detail job. Fieseros tags every job with the method it requires, and the dispatch board shows you at a glance which tech has which equipment in their van. When you assign a job, Fieseros warns you if the tech doesn't have the right method on their profile. You stop sending a squeegee-only tech to a job that needs a 40-foot pole, which is the kind of mistake that costs you a customer and a half-day of wasted driving.

Storefront contracts are typically billed on a fixed weekly or monthly price — for example, 85 dollars per visit, twice a month, for a chain of retail locations. In Fieseros, you define each contract once with the customer, frequency, per-visit price, and payment method on file. After every completed visit, the system generates a branded invoice with a secure payment link and sends it to the property manager via Email & SMS. Fieseros follows up with automatic reminders for unpaid balances, and overdue invoices surface on the dispatch board so you can pause service before the customer owes three months of unpaid cleanings. You eliminate the monthly invoice run that used to eat two days of office time, and your recurring commercial revenue becomes far more predictable.

Yes, and these upsells are some of the highest-margin work a window cleaning company does. When a tech spots hard-water stains on a pane or oxidized vinyl frames during a routine clean, they tap a button in Fieseros to generate a surcharge quote with photos of the affected area. The quote goes to the customer via Email & SMS, where they can approve it with one tap in the customer portal. If they approve, the surcharge gets added to that day's invoice. If they decline, the recommendation is on record — which matters when they call six months later complaining that the stains are worse. You capture revenue you used to leave on the table, and you build a documented record of every recommendation you made.