What is route optimisation software and what is it used for?

Route optimisation software is a tool that helps plan transport, delivery or visit routes more efficiently.

Its purpose is not simply to draw routes on a map. Its main function is to decide how to organise orders, vehicles, schedules and constraints in order to reduce costs, save mileage and improve logistics operations.

In a company with only a few deliveries, planning can be done manually. But as the number of orders, vehicles, time windows or service conditions grows, planning becomes much more complex.

This is where route optimisation software adds value.

It is not just about calculating the shortest route

A common misconception is that route optimisation consists solely of calculating the shortest distance between several points.

In reality, the optimal route is not always the shortest route.

A logistics plan must take many factors into account:

• Distance travelled.
• Driving time.
• Vehicle capacity.
• Delivery schedules.
• Loading and unloading times.
• Order priority.
• Driver availability.
• Access restrictions.
• Cost per vehicle.
• Maximum working hours.

For this reason, route optimisation software does more than arrange addresses. It analyses the problem as a whole and searches for a feasible and efficient plan.

In business operations, this type of solution works as a transport route planner, because it not only calculates routes, but also assigns orders to vehicles, determines the sequence of visits and takes capacities, schedules and operational constraints into account.

What problems does it solve?

Route optimisation software can help address many common transport and distribution problems.

For example, it can reduce unnecessary mileage, prevent unbalanced routes, make better use of vehicle capacity and improve compliance with customer delivery time windows.

It also helps reduce the time spent planning. Instead of building routes manually, order by order, the system can generate planning proposals in a matter of minutes.

This is particularly useful when operations change frequently: new orders, unavailable vehicles, delays, customer changes or last-minute adjustments.

What data does it need?

To generate a good plan, the system needs to work with high-quality data.

It normally uses information about orders, addresses, vehicles, capacities, schedules, service times, costs and constraints.

The more realistic these data are, the better the generated routes will be.

For example, assuming that every delivery takes ten minutes is not the same as knowing each customer's actual unloading time. Likewise, treating every vehicle as identical is not the same as considering its specific capacity, costs and schedules.

Optimisation improves as the model gets closer to operational reality.

The difference between planning and optimising

Planning means building a valid solution.

Optimising means searching for a better solution.

A manual plan may be sufficient to complete the day's deliveries, but that does not mean it is the most efficient. It may use more vehicles than necessary, cover too many miles or produce poorly balanced routes.

Route optimisation software analyses many possible alternatives and compares their results.

In this way, it can find combinations that are not obvious at first glance: moving an order to another vehicle, changing the visit sequence, grouping stops more effectively by area or meeting a time window without increasing costs too much.

Main benefits

The most common benefits of route optimisation software are:

• Reduced mileage.
• Lower operating costs.
• Better fleet utilisation.
• Less planning time.
• Greater schedule compliance.
• More balanced routes.
• Less improvisation during the working day.
• Better ability to respond to changes.

The impact may vary depending on the type of operation, but in general optimisation supports better decisions with less manual effort.

When does a company need this type of software?

Not every company needs an advanced system from day one.

However, it is usually advisable when certain clear warning signs appear:

• Planning takes too much time.
• Vehicles leave with unbalanced routes.
• There is too much unnecessary mileage.
• Delivery time windows are missed.
• It is difficult to know whether resources are being used properly.
• Last-minute changes cause major disruption.
• Cost per delivery is difficult to control.

When these problems occur repeatedly, manual planning starts to become insufficient.

Route software and decision-making

Good optimisation software does not replace the logistics manager's knowledge.

It complements it.

The system can calculate many alternatives, measure costs, detect constraints and propose efficient routes. However, the company's operational judgement remains important for validating, adjusting and making decisions.

Technology should help people plan better, not become a black box that is difficult to understand.

For that reason, as well as optimising, the software should make it possible to review routes, understand the results and adapt the plan to the reality of each business.

Conclusion

Route optimisation software transforms orders, vehicles, schedules and constraints into an efficient logistics plan.

Its value lies not only in reducing mileage, but also in supporting better decisions: which vehicle should handle each order, in what sequence, at what cost and under which conditions.

In real transport and distribution operations, this capability can make a major difference to costs, service and day-to-day organisation.

At LOGISPLAN, Evolution Algorithms applies more than 25 years of experience in logistics optimisation to turn real orders, vehicles and constraints into efficient, executable transport plans.