Route Optimization Algorithms: A Closer Look at Delivery App Efficiency Essay
The moment a driver accepts ten or twenty deliveries in one day, figuring out which route to take becomes a lot more difficult. While a delivery tracking app can display the location of one’s destination, drivers need to think about which roads to take and in what order, along with a number of other considerations.
This process is what we refer to as route optimization.
Essentially, algorithms process the location of each destination, distance between addresses, traffic, and other considerations. By doing so, they can identify an efficient route for drivers to use, maximizing the number of deliveries and saving time and energy.
For small business owners, a delivery tracking app can streamline this process, taking over some of the difficult decisions that have to be made for every delivery. In this guide, we’ll take a closer look at how route optimization works.
What Is Route Optimization?
As mentioned above, route optimization refers to the process of identifying the most efficient driver or set of drivers for completing a set of deliveries.
While figuring out which customer to deliver to first seems like a simple task, it’s a part of a much bigger issue. Once drivers have more than one delivery, the series of stops that they make has to be planned out in order to create the most efficient possible route.
Route optimization algorithms essentially evaluate one of more possible delivery routes and identify which one will produce the best results based on the preferences of the company.
How Does a Delivery App Know What Route To Take?
A great delivery tracking app considers a wide range of criteria when selecting an optimal delivery route.
Below are a few examples of the various considerations that a delivery tracking app should take into account when optimizing delivery routes.
1. Customer Location
The first thing to evaluate is the customer’s location.
By identifying each customer’s address, the delivery tracking app can convert these addresses into a set of coordinates. These coordinates can then be used to determine distance and develop an efficient delivery route. The algorithm works with the location of each customer. 2.
2. Roads
The most direct path between two points is rarely the fastest way to travel between them.
In certain situations, drivers might have to make a detour in order to reach a customer on time or save time overall by avoiding slow-moving traffic. While it might seem like a straight line between two addresses would always be the fastest way to travel between them, drivers must consider the roadways between them as well.
3. Traffic
Speaking of which, traffic is another important consideration when developing an efficient delivery route.
By taking into account the current, real-time traffic conditions, delivery tracking apps can make predictions about the time it will take to reach each customer. Based on this information, a delivery tracking app can develop a route that accounts for the traffic and gets drivers to their destinations on time. This is especially important in larger cities and more congested areas.
4. Time Windows
Time windows are periods during which a delivery must arrive at a customer’s location.
Depending on the preferences of the customer, deliveries might have to arrive during specific times of the day. During these times, drivers might not be able to complete other deliveries or might have to take a different route in order to make that delivery.
This added consideration plays a big part in the delivery algorithm and has to be taken into account when considering all of the possible delivery options. Because of this, delivery route optimization algorithms can be rather sophisticated.
Common Route Optimization Algorithms
There isn’t just one mathematical formula that powers each and every delivery tracking algorithm. In fact, different delivery tracking apps can use different algorithms for different tasks. Below, we’ve listed a few of the most common optimization algorithms.
Traveling Salesperson Problem
The Traveling Salesperson Problem (TSP) is a mathematical dilemma that involves finding the shortest possible route between multiple destinations.
This issue might seem simple, but it actually grows exponentially more difficult with each additional destination that is added to the equation. Algorithms that are used for deliveries usually employ some variation of this formula to determine an ideal delivery route.
Vehicle Routing Problem
Another type of routing algorithm is the Vehicle Routing Problem (VRP).
This type of algorithm works in a similar manner to the traveling salesperson problem, though it is designed for use in larger-scale commercial applications. For this algorithm, transportation companies have to consider the size of their vehicles, drivers, and other limitations as they work to find an efficient delivery route.
Heuristic and AI-Based Approaches
Due to the extreme complexity of some of the aforementioned algorithms, commercial delivery systems often use heuristic algorithms.
These algorithms return satisfactory solutions within a reasonable amount of time. More advanced algorithms also take advantage of artificial intelligence in order to improve their results.
Why Real-Time Tracking Is Important
The routing algorithm does not necessarily end once drivers leave the warehouse.
As luck would have it, things do not always go according to plan.
Customers’ schedules can change, weather and traffic conditions can shift unexpectedly, and a number of other roadblocks can prevent drivers from reaching their destination on time.
This is why route optimization works best in tandem with a delivery tracking application .
By identifying the location of drivers in real time, managers are able to adjust the delivery route as needed. By adjusting the delivery route in near-real time, logistics managers can ensure that deliveries are completed as efficiently as possible.
Why Small Businesses Should Care About Route Optimization
While larger logistics companies might have a better reason to invest in a delivery tracking app , smaller business owners can also benefit from the advantages which come with route optimization.
After all, a delivery tracking application for small business can streamline some of the more difficult decisions that drivers and managers have to make every day.
In truth, even a small business that only has one delivery truck and one driver can benefit from the advantages of a delivery tracking application . Let’s say that there is a local bakery that delivers pastries to a number of different customers each day. If these deliveries are not organized in a sensible manner, the driver will spend a lot of time and energy driving between stops that are not placed in any particular order. A more optimized route reduces the amount of gas that is needed, the amount of time that is spent on the road, and the number of additional trucks that have to be employed in order to meet the demand. This can have a huge impact on the overall performance of a small business.
Benefits Beyond Speed and Efficiency
As mentioned above, delivery route optimization has a number of benefits beyond reducing the amount of time it takes to complete deliveries.
By optimizing delivery routes, companies can benefit in a number of different ways such as:
• Lower amounts of fuel used
• Less time spent driving
• Increased number of deliveries completed
• Better use of available resources
• Higher customer satisfaction rate
• Improved ability to track operations
• Predictable delivery time frames
Customers can benefit from the more predictable delivery time frames as well.
The Bottom Line
Route optimization algorithms might seem like complex mathematical problems, but they exist to help delivery companies complete all of their deliveries in the most efficient manner possible.
From analyzing the location of each customer to taking into account the time windows of each delivery, modern delivery tracking algorithms consider a number of variables that would be extremely difficult for a logistic manager to account for.
Regardless of whether a company operates on a small scale or on a much larger scale, utilizing a delivery tracking application can bring a level of organization and efficiency that was previously unattainable.
After all, the fastest possible route is rarely as simple as following the straightest line from one point to another, and that is what makes delivery route optimization such a fascinating subject to consider.