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Machine Learning: Improving Your Customs Administration While You Sleep

Wed , 24 Jul 2019 | Customs, International trade, CAS, customs4trade, innovation, machine learning

After surfing the Web or using one of your technology devices, you’ve no doubt noticed the personalized recommendations you begin to receive. The more you surf, the more accurately the recommendations that pop up on your screen reflect your wants and needs. They’re even completing your sentences for you! That’s because machines are gathering data from your behaviors, e.g., websites you have visited or queries you have typed, building statistical models based on that data, and generating suggestions that become more and more targeted as more data is gathered. This is called machine learning, and it has many applications. Machine learning models are used in the medical sector to extrapolate accurate dosages for medication. They are used by post offices to translate and process handwritten addresses. They’re used by Siri, Amazon Alexa, and Google Assistant for speech recognition. And now, at C4T, they are being used to improve the customs declaration process.

machine learning

The ability to collect customs-related data has increased significantly due to the use of technology in various stages of the import and export process. That data can be applied to create a model that reduces human error, for example, detects significant differences in values or suggests better codes to reduce costs. The possibilities are endless, however they do not come without a set of challenges. Machine learning models perform a specific task by using statistical analysis. The process involves identifying what data is relevant, training a model over time by feeding it more data and evaluating its output, then investigating and implementing improvements to the algorithm. To create an efficient machine learning model that aids in the process of submitting a declaration, for example, it is essential to clearly define the tasks that the model needs to perform. After that, the declaration data must be presented in a way that the model can process. And then the real work begins—the investigation process to find solutions for the challenges that come up.

At Customs4trade we are investing in ways in which machine learning can aid in increasing the accuracy and efficiency of CAS, our automated customs management system. This is just another method we’re using to simplify the complex customs and trade process, allowing our clients to grow and expand more rapidly.

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