{"id":1431,"date":"2019-12-12T16:55:32","date_gmt":"2019-12-12T15:55:32","guid":{"rendered":"http:\/\/34.242.8.112\/?p=1431"},"modified":"2022-02-17T11:27:59","modified_gmt":"2022-02-17T10:27:59","slug":"fleet-optimization-algorithms-2","status":"publish","type":"post","link":"https:\/\/hedyla.com\/en\/algoritmos-de-optimizacion-de-flotas\/","title":{"rendered":"Why delivery companies need fleet optimization algorithms"},"content":{"rendered":"
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Why delivery companies need fleet optimization algorithms<\/a>?<\/strong><\/p>

In the last ten years, e-commerce has changed the way people expect to receive their online purchases. Right now, when a user buys an item online, it needs to be fast, reliable and shipping-free. Therefore, physical business also require fast and intelligent goods provisioning in order to offer better products and services at the desired timing.<\/p>

Delivery companies and fleet optimization algorithms<\/strong><\/p>

For delivery companies, regardless of their size and industry, optimizing their operations is critical for profitability. A recent article from Business Insider shows that around 53% of the transportation costs account for last-mile delivery operations.<\/p>

Companies spend hours every morning planning their delivery routes with the help of Excel sheets, Google Maps, ERPs or TMSs, which are tools not prepared for fleet and route optimization. It is literally impossible to get a decent optimization rate with the use of this tool and the power of experience, not because of people capacities but due to the complexity of the problem. Delivery businesses have a lot of restrictions such as tiny time windows to deliver, clients\u2019 priorities, types of goods, traffic patterns, drivers\u2019 skills, restricted areas and many more complex configurations that make the problem even bigger.<\/p>

Below you can find a real example of a daily planning made with Hedyla's route optimizer<\/a> against the original planning of a delivery company. Whilst the original plan is made by a simple strategy of dividing the deliveries by their location zone, Hedyla\u2019s planning algorithm takes into account all factors to guarantee a certain quality of service together with providing a 26% optimization in operation costs.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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This does not only account for cost optimization, but for other many benefits. Below you can find statistics from a real company working with Hedyla\u2019s distribution algorithms:<\/p>