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Route Optimisation: The benefits of reducing travel time between jobs

AI & Inspections, Inspection Management, Resource Management
route optimisation for resource management

Travel time optimisation is one of the most crucial steps to keeping operational costs under control while expanding their scope with the volume of the same resources. It usually starts with applying a route optimisation solution to find the perfect work optimisation formula. Route planning for complex schedules with hundreds of resources assigned to different entities is tricky. That’s why serious thought is required in optimising complex work models and keeping costs and inefficiencies under control in the meantime.

So how can we save time, money and effort by optimising the total travelling time between field jobs?


Resource optimization and business scheduling software

CASE STUDY: How a regulatory agency cut costs with resource scheduling software?
          • reducing the scheduling time with up to 75%
          • increasing efficiency of operations with 40%
          • fully eliminating errors in the resource allocation process.
Download the case study.


Route optimisation 

When we talk about optimising the travelling time between jobs, we mean applying a route optimisation solution for finding the most cost-efficient route from point A to point B and point C, D, E, etc. And if needed, we change the order jobs to fit more completed tasks in a day.

Google maps can indeed do (and has done) route optimisation for almost every person with access to the internet. But when we mean complex jobs like field inspections and managing hundreds of teams, we should start looking to end-to-end work optimisation systems. And that goes far beyond the functions of google maps.

Related: Where do resource allocation optimisation and remote inspections intersect?

The hidden benefits of route optimisation

We already said why it is crucial for companies to use route optimisation – to reduce efforts, costs and time. But there are also hidden benefits that are nonetheless important. To name just a few of them:

  • Improving field service for the end customer: increasing the number of daily completed jobs is going to shorten the response time. Therefore it will bring more satisfied customers. 
  • Improving employee productivity: reducing the travelling time of inspectors, technicians or other entities to enhance their focus and motivation.

We already said that it takes more than google maps to optimise complex operations with many variables. If we have to plan ten different field inspections today to 10 locations, we will have to open a file, fill in the details, and assign the tasks to relevant inspectors.

Manually designing a conflict-free schedule will be a very time-consuming endeavour. But throwing all of this data into an electronic inspection management system and then leaving the AI engine automatically to make an optimal schedule will take seconds.

route otpimisation software

What science is used for efficient inspection scheduling with optimised routes?

Certain factors define how long an inspection will take – the complexity of the case, the distance between a job and an inspector, the available technical devices (if needed), the location of the warehouse (if there’s such), the inspector’s skill set, etc. Based on these factors, is created a route between the ten inspection jobs and the assigned inspectors.

This example serves as a good case for regulators and organisations performing field inspections to understand how route optimisation can help them. Their specific objectives often require error-free inspection scheduling to send qualified inspectors to relevant jobs with minimised travelling time. The skillset is a crucial variable in the route optimisation formula. Based on our expertise with regulators, we refined this formula and offered it as a successful model to our customers from the regulatory sector. Read the case study now.

But when we talk about resource optimisation in other industries, the business objectives will be different. New variables must enter the equation to find the most suitable route optimisation formula. Canalix dedicated a significant amount of time developing a suitable proof-of-concept to mirror a real-world scenario. That’s how we help our new customers find a working route optimisation formula that serves their business objectives. Request a product tour here.

How is route optimisation implemented into field operations?

Canalix offers a resource scheduling software to help field service providers with route planning and safety management. Our track record includes regulators that successfully use our solution as an inspection optimisation tool. Book your free demo with us today if you want to learn more about our resource optimisation system.

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May 31, 2021
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  1. How Far is it from Washington, D.C. to Rocky Mount, NC? – Moultonborough says:
    June 16, 2023 at 4:49 am

    […] The time of day or day of the week can impact the driving distance due to varying traffic volumes. Traveling during off-peak hours or choosing less congested travel days can help minimize delays and optimize travel time. […]

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