Integrating Artificial Intelligence and Machine Learning into the logistics sector becomes essential to deliver operational efficiency, transparency and customer satisfaction
*By James Barroso
The global market is increasingly volatile, with increased customer demands and diverse challenges in the supply chain. And, to deal with sector fluctuations, companies need to learn to adapt to new developments and upheavals in favor of the efficiency of their operations, and the supply chain is one of the most complex and critical processes of any company, as it involves management different aspects, from the acquisition of raw materials to the delivery of the final product to customers.
Throughout this process, several challenges may occur, such as delivery delays, material quality problems, lack of transparency in information, among others. Fortunately, artificial intelligence can help overcome many of these challenges, bringing more efficiency and productivity to the supply chain. A research carried out by IBGE in 2022, showed that around 70% of the interviewed companies invested in technological innovations in the previous year and 58.4% intend to expand their investments in research and development in 2023.
The trend is clear: innovation is no longer a possibility and is becoming a necessity when it comes to optimizing supply chain processes, in addition to positively positioning the organization in the market and getting new customers and investors — and keeping them satisfied . Check out the tips we have separated to optimize supply chain processes using these technologies:
AI and Machine Learning in Logistics
That is why technologies such as AI (Artificial Intelligence) and Machine Learning have been standing out in the logistics segment for solving recurrent challenges faced by companies, such as the possibility of automating repetitive tasks with low added value, such as, for example, tracking product and inventory management. With this, it is possible to reduce costs and increase operational efficiency. In addition, such technologies can help predict future demand and identify possible bottlenecks in the supply chain, allowing companies to anticipate problems and make more assertive decisions.
Another challenge that artificial intelligence can help solve in the supply chain is the lack of transparency and visibility in information. With the use of technologies such as blockchain and IoT, it is possible to track the history of products along the entire chain, from origin to destination. This brings more confidence and security to consumers and allows companies to monitor product quality in real time.
Better communication between the different links in the supply chain is another point that deserves attention, as it allows companies to share information faster and more efficiently, which is essential to ensure synchrony between processes and avoid delays and quality problems. or even the complete interruption in production due to technical problems.
AI experts
It's also important to remember that successful Artificial Intelligence and Machine Learning implementations require specialized skills, so when you're implementing the tools, consider expanding your team of experts. This is an area of expertise that requires focus and skill sets from those with experience in these areas.
There are many challenges in the supply chain, but artificial intelligence can be an effective solution to overcome them. With the use of technologies such as automation, blockchain and IoT, companies can use these valuable assets to make the supply chain more efficient, transparent and productive, bringing benefits to both the business and the customers, in addition to expanding the knowledge of the manufacturers about their processes, products and production. Integrating Artificial Intelligence and Machine Learning into your processes strengthens strategic decision-making and can add value to results, both priority points in today's challenging market.
*James Barroso as director of Go To Market Latam
Notice: The opinion presented in this article is the responsibility of its author and not of ABES - Brazilian Association of Software Companies
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