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Technology in logistics through machine learning brings a series of benefits to optimize operations, reduce costs, and promote innovation. Artificial intelligence, big data, and machine learning are some of the trending terms and concepts today. Different sectors have adopted technology as their main source of information and driver of their work. In logistics, it couldn't be any different. Today, technology in logistics has been fundamental for the optimization of many operations and, consequently, their success. One of the main tools for this is machine learning. This is the subject we will cover in this article, understanding what this concept is and how it has helped in market growth. Happy reading! READ MORE • Artificial Intelligence brings efficiency to counting processes
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What is machine learning?
Machine learning is an artificial intelligence that is built from a database. It is based on the idea that systems and software can learn from data, identify patterns, and make decisions without relying on human interference. Thanks to new technologies, machine learning has evolved increasingly and gained greater importance within various segments and markets. Some examples of applications of this artificial intelligence are: • Autonomous cars
• Recommended offers in e-commerce
• Social listening, which is the monitoring of what is being said about your brand on social media
• Fraud detection in different processes
• Demand forecasting, route planning, and delivery performance in logistics
What is the importance for logistics?
Daily, the logistics sector needs to follow a series of activities. Forecasting demands, managing inventory, carrying out the distribution of goods and their transport, among others. Executing each of these steps requires attention and care to avoid bottlenecks that will harm the entire chain and generate much larger problems. It is, at this moment, that the importance of technology in logistics comes in through machine learning. Data analysis allows systems to perform various tasks autonomously, ensuring more agility to processes. Machine learning not only makes the chain more agile, but brings a series of other advantages, such as:
Increased productivity
Ensures that processes are automated and agile, without the need for manual labor.
Reduction of error rates
The more data collected and processes carried out, the greater the systems' intelligence becomes when executing the task.
Less waste and costs
One of the main expenses occurs with rework after errors during processes. When these occurrences are reduced, costs end up falling. In addition to having the entire process more organized and scheduled, optimizing the spending of resources.
Increases customer satisfaction
This is a consequence of the previous points. With technology in logistics, you gain more trust at all ends, deliver a quality service, and satisfy your customer's needs.
Applications of technology in logistics
Now that we've talked about what machine learning is and its advantages, let's better understand how this technology is applied in logistics. There are different ways this can happen, with products and services being used according to the needs of each operation. It is important to have planning with well-defined goals so that resources are well-directed and make sense within your company. Some examples of processes where machine learning can be applied are: • Demand forecasting: the artificial intelligence of machine learning can be used to forecast demand and even improve this process. With specific systems, it is possible to have a more detailed analysis of the factors affecting demand, making it easier to adopt inventory management strategies and make more assertive decisions.
• Supplier management: Far beyond having good suppliers, it is necessary to know which partners have been contributing positively. For very large companies, this can be a difficult task, but with artificial intelligence, it is possible to evaluate the performance of each one and identify potential problems along the way.
• Supply chain planning: This is a strategic activity that relies on reliable tools and the development of effective plans.
Through machine learning, decision-making processes can be significantly optimized with data analysis and the application of intelligent algorithms. Thus, it becomes possible to create a balance between demand and supply. Within this point, tools come in that become essential for the good development of your business. In stock, for example, it is necessary to have increasingly greater control of the items you have stored. To ensure this, intelligent software can be an ally, such as the Pix Counter.
How can Pix Counter help your operation?
Counting products on a large scale can be a huge challenge for any logistics company. In addition to the time demand, manual work can generate errors that create various bottlenecks throughout the process. This is just one of the reasons to invest in technology in logistics. Pix Counter is an example that can help you avoid problems. The service is a technology that counts items based on image processing. With smartphones or cameras installed on your production line, this counting generates automatic and precise results in just a few seconds. Agility, assertiveness, and reliability are what summarize Pix Counter. Get to know the details of the technology that will make your operation even better! Want to know more? Access here and speak with our salespeople.
Fabio Caraça
Fábio Caraça is the Chief Growth Officer at Pix Force. He leads Pix Force's transformation into a scalable SaaS operation, combining strategic vision, culture, and high-impact execution.
