Machine learning technology
Fast & safe shipping. Every time. Everywhere.
Machine learning technology
Fast & safe shipping. Every time. Everywhere.
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Machine learning technology
Fast & safe shipping. Every time. Everywhere.
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Custom shipping solutions
Fast & safe shipping. Every time. Everywhere.
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Asean Lines - Freight Solutions

Fast & safe shipping. Every time. Everywhere.

When it comes to moving goods around the world, container shipping is an integral part of the supply chain that links manufacturers to retailers to consumers. The number of containers shipped each year and the size of the vessels involved have both increased dramatically over the past three decades. Delays in the supply chain and subsequent cost increases make consistent container route scheduling crucial to the success of the shipping industry as a whole. frames than it does over shorter ones.

Using the power of Machine Learning computing, Asean Lines Smart Route built a Neural Network model to forecast transit times by feeding it information about past shipments and information about the factors that tend to have the greatest effect on the reliability of transit times (such as traffic at ports, holidays, COVID-19, war, etc.). We discovered that the Neural Network model may provide a partial solution to this issue, as it outperforms more traditional methods over longer time frames than it does over shorter ones.

Problem to solve

Plan your routes easily and quickly

Logistics firms, which are involved in the movement, storage, and flow of goods, have been directly affected by the COVID-19 pandemic. As an integral part of value chains, both within and across international borders, logistics firms facilitate trade and commerce and help businesses get their products to customers.

Supply chain disruptions are expected to significantly increase over the next few decades. Congestion at ports and maritime chokepoints such as the Suez Canal represents a major factor in shipping delay. The continuously growing industry is expected to further increase this problem. Besides congestion at ports and maritime chokepoints, bad weather also causes delay of container vessels. Extreme weather events often lead to severe disruptions in supply chains, in particular affecting transportation. Notably, the frequency of extreme weather events is increasingly changing around the world due to climate change. Predicting these delays could result in significant cost savings from optimizing operations. Due to the numerous changing variables involved, there is no current solution to these delays.

Why choose us

Benefits of deploy machine learning in logistics platform

Improved Accuracy

Machine learning models can process and analyze vast amounts of historical and real-time data, allowing for more accurate ETA predictions. This can lead to better planning and scheduling of resources.

Reduced Costs

Accurate ETA predictions enable companies to optimize routes, reduce fuel consumption, and minimize other operational costs. This can result in significant cost savings for shipping companies.

Enhanced Customer Satisfaction

Customers and clients can receive more reliable and up-to-date information about the status of their shipments, which can lead to increased trust and satisfaction. This can be particularly important for e-commerce companies and retailers.

Supply Chain Optimization

Machine learning-based ETA predictions can contribute to a more efficient supply chain by reducing transit times, minimizing delays, and improving coordination between various stakeholders in the logistics process.

Inventory Management

Accurate ETAs help with inventory management by allowing businesses to time their stock replenishments more effectively. This can reduce excess inventory and minimize stockouts.

Environmental Benefits

Optimized shipping routes and reduced fuel consumption not only save costs but also have a positive environmental impact by reducing greenhouse gas emissions.

3000+m2 of storage

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Minimal processing times

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Proposed Solution

A full range of quality logistics services

Vehicle fleet

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Market Analysis

North America as the Key Logistics Services Software Market

The logistics services software market has the potential to grow by USD 2.92 billion during 2021-2025, and the market’s growth momentum will accelerate at a CAGR of 10.40%.

This logistics services software market research report provides valuable insights on the post COVID-19 impact on the market, which will help companies evaluate their business approaches. Based on our research output, there has been a positive impact on the market growth during and post COVID-19 era. The growth of the e-commerce industry is notably driving the logistics services software market growth, although factors such as growing number of malfunction cases related to WMS software may impede market growth. To unlock information on the key market drivers and the COVID-19 pandemic impact on the logistics services software industry.

North America projects to register the highest growth rate of 34.96% among the other regions. Therefore, the logistics services software market in North America is expected to garner significant business opportunities for the vendors during the forecast period.

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