Route Planning

Smart Scheduling for Field Service at full power. No matter what happens.

With AI-enhanced Route Planning, complex field service becomes simple and fast: Schedule thousands of orders in the shortest possible time and re-optimise your field planning and routes. In real time. Anytime.

From rigid Route Planning to dynamic Route Planning

Only plan once in the morning and mainly pay attention to gap filling, buffer times, and short journeys? Intelligent Route Planning is a must today, because otherwise:

With AI-enhanced Route Planning in VISITOUR, you can optimally design your scheduling and use the power of our POWEROPT algorithm. This makes your planning automatically smart and becomes:

Your advantages through AI-enhanced Route Planning

Schedule smarter with POWEROPT, the AI heart behind our field planning. Your planning is based on your business and service goals, takes live information from the field into account, and can be quickly adapted in real time.

Scheduling teams can do more

Intelligent route planning relieves your schedulers and changes their role: Escalation management instead of appointment Tetris.

Valuable savings and more performance

AI-optimised field planning and routes bring efficiency to your field service. You save time, mileage, CO2 and work more productively.

Quick response to changes

With POWEROPT you can also re-optimise your routes during the day. This means that your field operatives are always optimised, on the road, and responsive.

Try it yourself: Route Planning at the push of a button

Test here how quickly POWEROPT optimises and replans as soon as you add orders (click on the map).

Instructions & Notes

Here’s how: The squares mark the locations of your employees, each of whom can process a maximum of five orders. Create new orders by simply clicking on any point on the map. Within fractions of a second, PowerOpt calculates the best assignment of orders to your employees and displays the cost-optimal routes. Choose either direct routes via airline or street-level views of the routes by selecting “Show Routes”.

Note: To fully utilise the PowerOpt demo, we recommend using the latest version of the following browsers: Google Chrome, Firefox, Safari. Using older browsers may lead to performance issues or failure of the demo function.

Central functions of Route Planning

Mass-capable Route Planning

Schedule thousands of orders and Operatives

Whether 50 technicians or 5,000 – our algorithm calculates the Field planning and Route Planning for the day in a fraction of the time that your Schedulers need. With a better result.

To Field Planning with VISITOUR

Ongoing Route Re-optimisation

React quickly and flexibly

Our real-time technology turns your scheduling into a continuous optimiser: changes from the field are taken into account live and in the event of failures, malfunctions, etc., the system immediately re-optimises the routes holistically.

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Individual Route Planning

Optimise according to your goals

Every company plans differently. We configure the planning according to your goals. Costs, employee and customer satisfaction are precisely balanced and your preferences are mapped.

View case studies

Edge Cases Mappable

Special cases under control

Our software offers exceptional depth. Unlike other solutions, it already covers many special cases as standard and offers the flexibility to reflect the individuality of your business.

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This is what our Route Planning does for your service

Punctuality & SLAs

Reliably adheres to time windows, automatically prioritises according to urgency, contract and impact.

More orders per day

Bundles field planning intelligently, minimises empty runs and detours.

Stable daily plan despite chaos

Continuously re-optimises in the event of traffic jams, breakdowns, additional orders or rescheduling.

First-Time-Fix & customer experience

Plans appropriately skilled staff and efficient routes; ETA and live location are automatically sent to customers.

Costs & CO₂ down

Ensures shorter distances, fewer journeys, better utilisation – measurable in mileage and minutes.

Releases capacities

Frees schedulers from tedious planning and coordination and frees up Operatives in the field.

Optimisation as a Service with the POWEROPT API

POWEROPT is the heart for efficient field service that you get with our field scheduling software VISITOUR. – Would you like to stay with your current solution, but still optimise your field planning and routes smartly? This is possible via the POWEROPT API:

Optimisation as a Service as a black box behind your solution

Send orders, have them optimised and provide better Field Service

Also available for software providers to expand their range

This is what customers and partners say about our Route Planning

Our planners can now focus on exceptions and service while the software does the work. It simply exceeds the capabilities of a human to consider all possible variables in the way that VISITOUR can with the core intelligence POWEROPT. In addition to saving time, we also achieve significantly better results in this way.

Craig Lowdon

Customer Services Operations Manager

By optimising order and route planning, significant time operatives could be created in the field, which contributed to an additional successful expansion of our service portfolio.

Kevin Wintergrün

Customer Service Manager

With the Solvares Field Service system, appointments and routes are calculated and optimised based on real-time data. A real game changer for service companies that want to efficiently digitalise and automate their processes.

Ansgar Schmitz

Managing Director

50% time savings in Scheduling - that makes a difference.

Nicole Seidl

Team Leader Scheduling

Discover how Field Service benefits from smarter Route Planning

Facility Management

How BRUNATA-METRONA is Accelerating the Energy Transition with Route Planning from Solvares Field Service

Building Technology and HVAC

WOLF Gains a Competitive Edge and 50% Time Savings

Medical Technology

Baywater Healthcare Improves Service Quality in Outpatient Care with Solvares Field Service

Building a business case with success stories? You can find case studies under Resources →

Highlights from our customer projects

More Orders Completed per Day

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Reduction of Lead Times

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Reduction of Travel Costs

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AI Route Planning – Deep Dive: how complexity becomes a measurable advantage in service

The “Multiple Traveling Salesman Problem” (MTSP), simply put, describes how several field staff or technicians optimally serve many appointments in a short time. A simple example shows the complexity: Even when planning ten orders for a single technician, there are over 3.6 million possible sequences (factorial 10, as the mathematician says).

Consider hundreds of factors

In practice, “calculating the shortest routes” is not enough and countless factors are added: traffic data, desired dates/time windows, SLAs, predicted maintenance intervals, processing times, skills/skills, parts availability or hygiene/safety rules – all of this makes planning multidimensional. This is exactly where our artificial intelligence for route planning plays its strength.

An example of what our AI Route Planning does

If a service technician is in a traffic jam, the routes of other technicians are optimised, the customer can be informed about a potential delay or the technician is suggested an alternative and therefore time-saving route – and all of this takes place in real time, i.e. immediately.

In the words of our customers:

“The software automatically assigns the optimal orders to all of our technicians. If a new order arrives that needs to be completed urgently, the software re-optimises all appointments. It takes into account the entire Operatives pool and plans automatically to achieve the set goal.” – Craig Lowdon, Customer Services Operations Manager, Baywater Healthcare.

In short: Route planning with POWEROPT turns a theoretically unsolvable planning problem into a reliable daily rhythm – with less mileage, more adherence to schedules and a noticeably more relaxed team.

Can be used with our field planning VISITOUR or via the POWEROPT API with your own system.

With smarter Route Planning to more performance in service

Experience our AI-based real-time Route Planning live and find out how our system makes your Field Service better. Start now.

FAQ

What is AI-enhanced route optimisation in field service?

AI-enhanced route optimisation refers to the automated process of efficiently planning service calls using artificial intelligence. Numerous influencing factors such as traffic conditions, qualifications, distances, time slots and urgency are analysed to calculate the best possible route sequence and resource allocation. The result is planning that saves time, reduces costs and improves adherence to deadlines.

How does AI-based tour planning and optimisation differ from traditional route planning?

Traditional route planning usually only considers distances and travel times. An AI-supported solution for tours, on the other hand, optimises the entire service call process: It takes into account dependencies between orders, technician skills, service levels and current conditions. This results in a realistic, economically optimal deployment plan – not just a shorter route.

What data is used for intelligent route optimisation?

AI-enhanced route optimisation draws on structured operational data that is already available within the company. This includes order information, locations, working hours, qualifications and current traffic data. It also uses historical experience to better estimate the duration of certain activities. The better the data quality, the more accurate the planning.

For which companies is route optimisation particularly worthwhile?

Companies with a large mobile service team and high daily deployment frequency benefit particularly. Typical examples are organisations with several dozen technicians who have to coordinate many customer appointments every day. In these cases, the greatest efficiency gains and relief in day-to-day business can be achieved.

What are the advantages of AI-based route optimisation in everyday operations?

The intelligent use of AI-based route optimisation significantly reduces the effort required for scheduling. Travel times and idle time are reduced, technicians spend more time with customers, and adherence to deadlines increases. At the same time, transparency regarding capacity utilisation, order progress and service quality is improved. The result is planning that is both economical and customer-oriented.

How does dynamic route optimisation respond to short-term changes in day-to-day business?

When conditions change – for example, due to cancellations, disruptions or last-minute additional orders – dynamic route optimisation adjusts the planning in real time. It evaluates alternative routes and immediately suggests the most efficient redistribution of orders. Planners/dispatchers can review and approve these suggestions. This ensures that resource planning remains stable and reliable even in the event of unforeseen circumstances.

How are employees involved in route planning and optimisation?

AI-based route optimisation supports planners, but does not replace them. Dispatchers remain in control at all times and can adjust planning rules or intervene manually. Technicians receive their assignments via mobile applications, provide feedback on status and thus contribute to the ongoing improvement of planning. The interaction between humans and the system ensures a high level of acceptance and transparency.

Can AI-based route optimisation be integrated into existing systems (e.g. CRM or ERP)?

The solution is designed to integrate seamlessly into existing IT landscapes. Order and personnel data is automatically transferred via interfaces, optimised and returned to the leading systems. Thanks to AI-based route optimisation, the entire service process remains digital throughout, without duplicate data entry or system breaks.

What requirements must be met for the use of AI-based route optimisation?

To use intelligent route optimisation, you need up-to-date and complete basic data on orders, locations, technicians and customers. The introduction is carried out in close coordination with the specialist departments in order to accurately map planning rules and priorities.

How long does it take to implement AI-based route optimisation?

The implementation process for AI-based route optimisation is structured in stages. After analysing existing processes and data, a pilot phase is first carried out in which the planning is applied to a sub-area. Depending on the scope, size and structure of the organisation, the full roll-out can be completed in a few weeks or months. Many companies already see significant efficiency improvements during the test phase.

Why is AI-based route optimisation an important success factor in field service today?

Field service organisations are under increasing pressure to meet deadlines, reduce costs and exceed customer expectations at the same time. AI-based route optimisation helps to reconcile these requirements. It makes complex planning processes manageable, ensures efficient use of resources and noticeably improves service quality – day after day.