Artificial Intelligence: how is this applied in foreign trade?

Have you ever stopped to think about how the presence of artificial intelligence in foreign trade can impact on your Customs Clearance processes and other operational tasks positively?


Yes, many companies do not even realize the importance of technology in their international procedures. This is because they are more involved with inserting new products into their catalogs, or updating their databases with their tariff codes.

However, it is worth mentioning that only the execution of these actions is not enough for your foreign trade company to advance with intelligence and perform all the necessary processes with greater compliance.

We know that the foreign trade scenario is structured in bureaucratic and complex procedures. Tasks are performed through systems without integration and at high risk of human error. In addition, there is little practicality and standardization in international demands.

However, since 2018, the import processes in our country are undergoing a renewal. The objective is to modernize international standards through Decree No. 9,326/2018 that approved the Trade Facilitation Agreement.

Continue reading this article and learn more about how advanced technology can help foreign trade processes.

What is Artificial Intelligence?

Artificial Intelligence is a subarea of Computer Science that develops means for machines to perform tasks in the same way that human beings act on their operational demands.

That is, there are operating systems and very advanced technology that are based on commanding the execution of repetitive and simplified tasks. As well as solving more complex tasks, with the work of machines and controlled equipment.

Thus, artificial intelligence in companies will help in the behavioral predictability of the client, because they are based on past situations to perform an assertive prognosis when the manager needs to make future decisions.

In this sense, artificial intelligence in foreign trade will help fill gaps for the identification of patterns and automation of processes. It will also improve the engagement of operational teams by delivering high performance in the solution of demands and interactive effectiveness with the end customer.

What is the difference between Deep Learning and Machine Learning?

In principle, it is worth noting that artificial intelligence brings an amplified concept of what is the use of technology in the tasks of foreign trade. In addition to encompassing the terms Deep Learning and Machine Learning. Let us then better contextualize these two concepts:

Machine Learning

Machine Learning is a subset within artificial intelligence. It works like the program that makes the machine able to learn on its own, without the need for human help. Similarly, you can improve machine learning performance over time when performing tasks.

That is, through Machine Learning artificial intelligence in foreign trade acts as an engine whose technology has a high power in data processing. Thus, information is collected using complex algorithms so that they are interpreted in the execution of automated tasks.

Thus, the potential in decision making increases, bringing good results for companies, as well as valuable differentials in the use of some machine learning technologies. Among them, we can mention facial recognition, virtual assistants and customer self-service.

Deep Learning

In the case of Deep Learning, we can say that it is a more evolved method of artificial intelligence because it is based on technology that simulates human behavior at a very advanced level.

The network of this technology operates in layers, which make a complex analysis in data processing along with specific information, performed through advanced systems. For example, fraud identification and sentiment analysis.

Artificial intelligence in foreign trade has the ability to make machines think, replicating human behavior. These are diverse concepts because Machine Learning is a subarea of artificial intelligence, while Deep Learning is a subgroup of Machine Learning.

What are the advantages of using artificial intelligence in foreign trade?


Experts in the field reveal that artificial intelligence in foreign trade brings valuable insights to managers from all international segments. Among the reasons listed for taking advantage of a state-of-the-art technology used in operations are:

  • increased productivity;
  • higher speed in processes;
  • cost reduction;
  • better quality in the collection of information;
  • technology as an ally in decision-making;
  • state-of-the-art technology with job transformation potential.

Artificial intelligence in foreign trade: technology in the classification of goods

The Machine Learning Customs Selection System (Sisam) is a type of artificial intelligence in foreign trade that uses the history of Import Declarations. It is a technology that helps the Brazilian Internal Revenue Service (RFB) to reduce the amount of goods that need to be checked in the Customs Clearance.

This allows the reduction of costs for our economy, in addition to reducing tax evasion and non-compliance with requirements. Sisam is the first artificial intelligence employed by the IRS being used to select goods at the customs conference. The goal of it is to verify all the statements accumulated in Siscomex, visualizing the changes and identifying the errors, fostering the learning potential of the machine.

How is artificial intelligence applied in foreign trade?

Faced with so many tasks performed in foreign trade there are a number of fundamental procedures for international trade transactions, with a complex workflow that can become inefficient if artificial intelligence in foreign trade is not adopted.

Automate data collection

As you may already know, there are many documents involved in foreign trade processes and, most of the time, the information contained in these documents is repeated several times throughout the export or import process.

Whether to submit the data for the issuance of the Bill of Lading or even to register an Import Declaration (DI), the amount of times a professional needs to copy and paste the same information is often absurd.

In this sense, automated data collection is extremely important. This is because it enables manual and repetitive tasks to be done by the machine that uses this data in instant execution programming.

Monitor processes in foreign trade

As we know, one of the main challenges of foreign trade is the routine for process management, which can result in several problems. Undoubtedly, automated monitoring can help control shipments, defining the workflow, organizing documents and information with simplicity and achieving results.

Compare quotes

With artificial intelligence you can compare the quotations sent by suppliers in the same digital environment. This allows the manager to make the best choice, as needed at the moment. As results, we perceive the formation of a strong position and credibility that differentiates your company from competitors.


Cheap2ship uses artificial intelligence to ensure your best international freight

Cheap2ship uses artificial intelligence to guarantee your company better freight quotes. Without bureaucracy and that endless exchange of emails, centralizing all negotiations in the same digital location, in an organized and agile way to find the best option.

Get full control of your quotes in a few clicks, reduce the time of your operations with complete and effective freight management, and focus on activities that add value to your business.