POWEROPT / ARTIFICIAL INTELLIGENCE

CONNECTING THE DOTS: CLEVER REAL-TIME ROUTE OPTIMIZATION WITH AI


ARRANGE A DEMO ›

POWEROPT ALGORITHM:
WELCOME TO REAL-TIME


After more than 10 years of mathematical research, we successfully developed an algorithm in 2004 that displays your service and sales business’s complex orders in real-time scheduling and route planning software.

Your PowerOpt advantages:


Real-time appointmentsfor your customers: 0.1 seconds to the perfect appointment

High flexibilitywhen planning thanks to real-time optimization when changes happen

Over 20% savedby driving fewer miles and spending less on dispatching

Green IT:Improve your carbon footprint

How does the algorithm work?

TRY YOURSELF AND DISCOVER THE
POWER OF OUR POWEROPT ALGORITHM

There you go:The squares mark the locations of your employees, each of whom can process a maximum of five orders. Generate new orders by simply clicking on any point on the map. Within seconds PowerOpt calculates the best allocation of orders to your employees and displays the cost-optimal routes. Choose either direct routes as the crow flies or street-level views of the routes by selecting "Show Routes".

And now it's your turn ...
Please note:
In order to enable full functionality and correct display of the PowerOpt-Demo, we recommend to use the latest version of the following browsers: Google Chrome, Firefox, Safari or Internet Explorer. The use of an older version may lead to performance problems and demo limitations.





THE UNBEATABLE FLS-TECHNOLOGY LEADS YOU QUICKLY
FROM »WHY FLS?« TO »AHA! - THAT'S WHY« – WE CAN PROVE IT …

What is the difference between 5 and 5,000 field resources? For FLS VISITOUR, there is none. We also guarantee real-time scheduling and route planning for high data volumes with no batch or overnight runs.

You want more information? Or want to experience the PowerOpt performance "live" – and preferably with your data?
No problem - in a non-binding demonstration, we will show you how to optimize your field service and realize cost savings of up to 20% after only a short time. With a comparative calculation we will show you completely new potentials with regard to your service goals!

Use the contact options at the bottom of the page to arrange an appointment for your personal demonstration.


REQUEST IT NOW ›

Das MULTIPLE TRAVELING SALESMAN problem

DYNAMIC TOUR PLANNING – SIMPLY EXPLAINED:
HOW EVEN SIMPLE SCENARIOS CREATE COMPLEX DATA STRINGS


The problem of the Multiple Traveling Salesman (MTSP) – in today's use cases of the service technician or delivery driver – is a classic problem of the service and logistics industry. If the problem of the shortest route between any number of points is extended to include, for example, real-time traffic data, desired appointments, predicted maintenance intervals and order processing times (predictive maintenance and predictive analytics) or restrictions such as hygiene measures and qualifications, AI is the target-oriented technology that makes the emerging data volumes manageable and exploits new potential.

If a service technician is stuck in a traffic jam, the routes of other technicians are optimized, the customer can be informed of a potential delay or the technician is suggested an alternative and thus time-saving route - and all this is done in real time, i.e. immediately. And using artificial intelligence.

FLS CCO Christoph R. Hartel outlines the route planning problem using simple examples in the video (please switch on subtitles, as the video is in German):
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ARTIFICIAL INTELLIGENCE

In order to further enhance your scheduling accuracy, we have implemented sophisticated predictive analysis methods that enable intelligent predictions about appointment durations and arrival times (ETA). Thanks to the self-learning approach, your appointment accuracy is continuously improved while taking your latest call data into account.

Your advantages:

  • ‘what if’ simulations for optimum capacity and resource scheduling
  • Increased up-to-the-minute appointment accuracy thanks to real-time traffic
  • Improved scheduling accuracy for all follow-up calls thanks to predictive analytics
  • Increased customer satisfaction

ARTIFICIAL INTELLIGENCE

In order to further enhance your scheduling accuracy, we have implemented sophisticated predictive analysis methods that enable intelligent predictions about appointment durations and arrival times (ETA). Thanks to the self-learning approach, your appointment accuracy is continuously improved while taking your latest call data into account.

Your advantages:

  • ‘what if’ simulations for optimum capacity and resource scheduling
  • Increased up-to-the-minute appointment accuracy thanks to real-time traffic
  • Improved scheduling accuracy for all follow-up calls thanks to predictive analytics
  • Increased customer satisfaction

CONTACT