Daniel HøyrupApril 2026 · 7 min

Route planning for window cleaners — save 30% on driving

Complete guide to route planning for window cleaners: how much you save, how manual and automatic planning compare, and the five concrete tips that make the biggest difference.

An average window cleaner in Denmark drives between 15,000 and 25,000 km per year to and from jobs. That's fuel, wear on the car, and — most importantly — time that could be spent cleaning windows and earning money. Good route planning for window cleaners is the single discipline that can shift margin the most, without needing more customers or higher prices.

Route planning isn't just about finding the shortest path. It's about organizing your entire day so you minimize driving and maximize the hours you spend on paid jobs. The difference between a good and a bad route can easily be 30% in saved driving time — Clientflow customers typically report the same numbers.

What does poor route planning cost a window cleaner?

Let's put numbers on it. If you drive 100 km per day and a better route could cut 30% off that distance, you save 30 km daily. Over 20 working days per month, that's 600 km.

With an average fuel price of about 13 DKK/liter and a consumption of 10 km/liter, that's a saving of around 800 DKK per month — or nearly 10,000 DKK per year — in fuel alone. Add reduced wear on the car, lower maintenance costs, and fewer hours in traffic.

The real gain, however, is time. 30% less driving equals over 150 hours per year that you can either spend on extra jobs or on going home at a reasonable time. For a business with 3 employees, that's 450 hours per year — almost a whole quarter's pay.

Three approaches to route planning for window cleaners

1. Manual planning — Most people start here. You look at tomorrow's jobs, group them in your head by area, and drive in the order that “feels” logical. It works fine with 5–8 jobs, but it doesn't scale. The human brain is poor at solving the kind of combinatorial problems that route planning actually is.

2. Google Maps — A step up from your head. You can enter addresses and see a roughly optimal order. But Google Maps can handle a maximum of 10 stops at a time, it doesn't account for time windows (e.g., that customer A needs to be visited before 10 AM), and it can't plan for multiple employees. It's a navigation tool, not a planning tool.

3. Automatic route optimization — Dedicated software like Clientflow, Fenster, Previsto or SkvizBiz that calculates the optimal order for all your jobs, taking into account distances, time windows, job duration, and employees' starting points. This is the approach that yields the greatest savings — but quality varies significantly between programs.

What makes AI route optimization different?

Traditional route optimization calculates the shortest distance between your stops. AI-powered route optimization goes a step further: it learns from historical data, accounts for traffic patterns, and can dynamically adjust routes when jobs are added or cancelled during the day.

In Clientflow, route optimization works directly in your calendar. Press one button, and all the day's jobs are rearranged into the most efficient order. Your employees see the updated route in their iOS or Android app with one tap to navigation. It requires no manual input beyond the jobs you've already scheduled — and if weather or a cancellation changes the day's schedule, the system replans automatically via urgent dispatch.

Five tips for better route planning

1. Group customers in zones. Divide your coverage area into 4–6 geographic zones and schedule visits in the same zone on the same day. This significantly reduces crossing routes. For solo window cleaners, one zone per weekday is often enough; for larger teams, two employees can share a zone each day.

2. Plan the week, not the day. If you only plan day by day, you lose the opportunity to move flexible jobs to a day where they fit geographically. Recurring agreements with fixed intervals typically give better route visibility a week ahead.

3. Set time windows thoughtfully. The narrower the time windows your customers require, the harder it is to optimize. Offer wide time windows (e.g., “morning” instead of “9 AM”), and your route automatically becomes more efficient.

4. Start and end close to home. Schedule the first and last job of the day close to your starting point. This reduces “empty driving” at both ends of the day.

5. Use data, not gut feeling. Even experienced window cleaners overlook better routes because they drive “the way they always do.” An optimization tool sees all possibilities without bias.

Route planning for window cleaners with multiple employees

Complexity increases exponentially when you have more than one employee. Now you don't just need to find the best order — you need to distribute jobs among employees, take their starting points into account, and ensure an even workload.

Manual planning for a team of just three employees with 10 jobs each is practically impossible to optimize perfectly. This is where automatic route optimization truly shows its value — you get a plan that accounts for everything in seconds instead of half an hour. See Clientflow pricing to compare which tier supports how many employees.

Which software is best for route planning for window cleaners?

In the Danish market there are mainly four options: Clientflow (complete field service platform with AI route optimization, lead module, GPS and customer portal in the base price), Fenster (simple subscription and route management, but no AI or GPS), Previsto (planning + Dinero/Billy integration, but missing GPS and lead module) and SkvizBiz (legacy system with built-in accounting, no native mobile app).

For solo window cleaners with a small number of recurring customers, Fenster or Previsto can be sufficient. For growing businesses that want AI routing, GPS and leads in one system, Clientflow is the best overall package — and typically cheaper once you count everything in, because you don't need to buy separate modules.

Conclusion

Route planning for window cleaners isn't a detail — it's one of the biggest levers in your business. The difference between a mediocre route and an optimized route is 30% in saved driving time, thousands of DKK in annual savings, and a workday that simply runs better.

Whether you start by grouping customers into zones or take the leap to AI-powered route optimization, the best investment is the one you make today. Try the demo free for 7 days and see how much better your week plans itself.

Frequently asked questions about route planning for window cleaners

What is route planning for window cleaners?

Route planning for window cleaners is the process of organizing the day's or week's customer visits in the order that minimizes total driving and maximizes paid work time. It covers both the geographic route between stops and the distribution of jobs across employees. Modern software like Clientflow automates the entire process with AI route optimization.

How much can a window cleaner save on better route planning?

Between 20% and 30% in saved driving time is typical when moving from manual planning to AI route optimization. For a business driving 100 km/day, that's ~600 km/mo saved — around 800 DKK/mo in fuel plus 12-15 hours freed up for paid work or free time. Over a year, that's 10,000+ DKK and 150+ hours per employee.

Can I do route planning for free with Google Maps?

You can, but only for small lists (Google Maps handles a max of 10 stops at a time). It's a navigation tool, not a planning tool — it doesn't support time windows, job duration, multiple employees or dynamic rescheduling when a customer cancels. For a serious window cleaning business, you hit the ceiling fast.

Which software is best for route planning for window cleaners in Denmark?

For growing businesses we recommend Clientflow — we have AI route optimization, GPS tracking, lead module, customer portal and integration with Dinero, Billy and e-conomic in the base price. Other Danish options are Fenster (simple but no AI or GPS), Previsto (planning + accounting) and SkvizBiz (legacy system with built-in bookkeeping).

Should I plan routes manually or automatically?

Manual works fine with up to 5-8 jobs per day and 1-2 employees. As soon as you have more jobs, more employees or shifting time windows, you lose significant value by planning manually — an optimization algorithm finds routes humans overlook. Automatic route optimization is typically break-even from day 1 with 3+ employees.

What's the difference between route planning and route optimization?

Route planning is the broader term — it covers the whole process of organizing the day's customer visits, from which customers should be visited when, to who drives where. Route optimization is specifically the algorithm that calculates the optimal order between stops. In practice, most software uses them synonymously.

How do I plan routes for recurring subscription customers?

The best pattern: create a recurring agreement with a fixed interval (e.g. every 4 weeks) in your software — then the system automatically generates the visit schedule forward in time. When the day arrives, the route is ready — and you can add one-off jobs on top. This removes the risk of forgotten visits and keeps subscription pricing stable.

What happens to the route if a customer cancels or weather changes?

With static planning, you have to replan manually — that typically takes 20-40 minutes. With AI route optimization, the system automatically replans the day's remaining jobs and updates all affected employees via the mobile app. Read more about urgent dispatch and dynamic rescheduling.

How many extra jobs can I handle per day with better route planning?

Typically 2-4 extra jobs per employee per day when moving from manual to AI route optimization — because the saved 30% driving translates directly into more production time. For a solo window cleaner with 12 jobs/day, that's 14-16 jobs. That's a 15-30% revenue increase without new customers.

How do I get started with automatic route planning?

Try the demo free for 7 days — you're ready in 5 minutes. Import your customers from Excel, Fenster, Previsto or SkvizBiz, set up your zones, and press “optimize the week”. Most window cleaners see the savings in the first week.

Want to see how much you can save with optimized routes?

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