Any distance covered without a meaningful delivery represents pure cost with zero return. This reality is widely acknowledged by fleet managers on an intellectual level. www.saphyroo.com/solutions/route-optimisation Very few have actually quantified it.
Analyze telematics data from any manually planned fleet and the results will be eye-opening including unnecessary distance, route repetition, and inefficient sequencing that have become routine.
In reality, this should not be considered normal. It is essentially a silent tax charged every day across the fleet, growing unnoticed. eventually leading to six-figure annual losses that rarely appear clearly in reports.
There is route optimisation, which exists with the express purpose of avoiding that tax. Not reduce it. Get rid of as much of it as the physical nature of the operation permits.
Exploring the mechanics of optimisation engines reveals why they deliver superior results compared to human planning.
When dispatchers plan routes manually, they are tackling a combinatorial optimization problem aiming to identify the most efficient order from countless combinations; one that relies heavily on instinct, past experience, and recognition patterns.
Dispatchers are typically very capable. Yet, they cannot compete with the speed and depth of algorithms that process the same challenge instantly all while accounting for constraints like capacity, time windows, driver limits, traffic, and fuel efficiency.
It should not be seen as a flaw in human expertise. It is simply a matter of computational limits. Software does not have the processing limits that the human brain does.
The best-performing operations blend both approaches - human judgment for exceptions and relationships alongside computational power for optimisation.
What sets advanced technology apart is dynamic replanning rather than static planning tools.
Basic route planning assumes a fixed schedule for the day. However, things rarely go exactly as planned.
At 8am, a cancellation occurs, traffic builds on major roads, or a vehicle breaks down requiring immediate reassignment.
If software cannot adapt to these changes, it forces dispatchers back into manual adjustments, defeating the very purpose of using the technology.
Authentic dynamic optimisation takes these changes and re-computes the resulting routes dynamically while automatically updating drivers without requiring dispatchers to rebuild plans.
This level of responsiveness is what separates a simple tool from a true operational asset.