Impact of machine learning in logistics

Technology

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Since, 1960s, there has been the talk of artificial intelligence and its impact on society. Since then the meaning of artificial intelligence has evolved, machine learning an aspect derived from artificial intelligence.

But what exactly is machine learning? It is one of the branches of computer science that by means of a series of algorithms (instructions) a machine can produce relevant conclusions.  Put simply, machines are capable of learning without having to program them to execute a certain action. Machine learning has been very useful in several sectors of industry and commerce, with logistics being one of the fields that are making the most of it.

Also Read: Deep Learning: The revolution of Artificial Intelligence

Machine learning and its impact on logistics

Since machine learning is based on the processing and analysis of data, the fields that handle a fairly broad database have benefited from its application. In logistics, there have been several benefits of machine learning and these are some.

Help with data analysis

For a data analyst, machine learning is your best personal assistant. For example, if you need to quickly consult the impact of the price of a product, thanks to this tool you will not have to collect data, structure it and then ask if the figures are due to external factors, a period or a particular holiday. 

With machine learning, an analyst will not waste valuable time in mathematical calculations but will be able to analyze and explore the organization’s data flow without too many detours.

Help in decision making

Machine learning offers good support to the organization and its logistics processes so that it can make the right decisions when handling the appropriate data. For example, if you want to give a new impulse to a product or service, machine learning will favour the search for solutions and innovation, using as a point of support the data that is received.

Analysis of consumption Behaviour

With the help of machine learning, you can detect potential customers, know the workers that will be more productive for a task and know how to adapt the service to the tastes or needs of the client.

It is necessary to emphasize the intelligent chatbots that facilitate the purchase and the interaction with the client. A success story is the IBM Watson, Eva chat that was implemented by a well-known retail store. In one month this chatbot generated 53,000 interactions with users who sought to resolve doubts.

Why a company should adopt machine learning?

A company must not only handle a lot of data but interpret it, machine learning will be a valuable tool. If you have to solve problems of a high degree of complexity, using machine learning will be a great.

With machine learning, better logistic service can be achieved and the massive data will not be a problem to know them to interpret and to take the corresponding business decisions. Since the comments and conversations of users are produced digitally, this type of technology handles a large amount of important information, obtains new knowledge and is capable of detecting new trends faster than a human being.

Machine learning as a tool for logistics is undoubtedly destined to grow because of the enormous number of advantages it offers. All organizations that care about their logistics area and generate a lot of data are learning to understand the basic principles of this technology and what it brings to them.

For a data analyst, this form of automatic learning gives greater value to the type of work he does because it allows improving the results delivered in the organization for which he works.

Conclusion:

In conclusion, machine learning is a technology that allows us to predict new needs and trends from thousands of data.  Companies that have adopted machine learning have been able to optimize their production cycles based on information that has been interpreted through artificial intelligence systems.

More Resources:

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