The term “Artificial Intelligence” (AI) has resonated strongly in conversations over the past year. While AI is not a recent phenomenon, its understanding on a societal level has gained momentum thanks to innovative tools such as OpenAI and ChatGPT, which have helped society understand the scope of its potential.
The spread of these technologies has provoked opposing reactions; while some welcome them with enthusiasm, others view them with some suspicion. However, we are at a crucial point where we need to look beyond the immediate reactions and understand how AI can be a valuable ally for businesses.
In a world where globalisation is a constant, import and business challenges are inevitable. In this context, AI has emerged as an essential pillar in the new era, providing innovative solutions that revolutionise traditional processes. Its implementation allows improving efficiency and productivity, providing companies with effective tools to face and overcome current challenges.
How can Artificial Intelligence improve imports?
AI is becoming an essential tool for import businesses and, as professionals in the sector, we believe it is essential to talk about it. Its application can result in a number of significant improvements that optimise processes and increase efficiency.
However, it is important to note that this technology is still in its early stages of development and maturity; for this reason, while AI can generate valuable data and predictions, human oversight is still required to ensure the accuracy and applicability of these results.
AI can automate repetitive and time-consuming tasks, such as data entry and shipment tracking. This allows employees to focus on more specific tasks, improving productivity and reducing errors.
It is important that our human team sees artificial intelligence as an ally and not an enemy. Stopping certain tasks does not have to be synonymous with losing your job, but you can dedicate your time to other responsibilities.
Using machine learning algorithms, AI can analyse patterns and trends in historical data to make accurate predictions about future demands. This helps companies to better plan their inventories, avoid stock-outs and prevent unnecessary costs as a result of poor planning.
AI can assess and anticipate risks in the supply chain. With its analytical capabilities, it can detect anomalous patterns that indicate fraud, providing valuable preventative protection. In addition, it can anticipate delaying factors in the supply chain, such as climatic or political changes, allowing companies to proactively adapt to these challenges.
Although still at a very early stage, AI is also useful for understanding some of the complexities of trade policy. By analysing and understanding legal texts, it can alert companies to changes in import laws and potential compliance issues.
Asia’s role in Artificial Intelligence and imports
Asia, and in particular China, has experienced a boom in the development and adoption of AI. This region has proven to be a world leader in the implementation of AI in various sectors, including importing.
Chinese companies are using AI to optimise their supply chains and improve the efficiency of their import processes. Machine learning algorithms are being used to forecast demand, manage inventory and improve logistics.
A sourcing partner has something that AI does not: experience!
In this context of what some would consider dehumanisation, having a sourcing partner is more valuable than ever. A sourcing specialist can provide a range of services that can address the changing dynamics of AI-driven importing.
The ways in which a sourcing partner can help companies take full advantage of AI are many, from choosing the right solutions to implementing and maintaining them.
Companies like ours, with more than 20 years’ experience in imports, can also offer strategic advice, helping businesses adapt to emerging trends and keep up to date in an increasingly digital and automated world.
With a deep understanding of the market and the business environment, sourcing partners have something that AI does not: an experienced team that aims to provide solutions and suggest opportunities for improvement.