Impact of machine learning in logistics

Since the 60s   there has been talk of  artificial intelligence and its impact on socie dad .

Since then the meaning of  AI  (acronym in English for  artificial intelligence ) has evolved,  machine learning being an aspect derived from artificial intelligence .

But what exactly is machine learning? It is one of the branches of computer science that through a series of algorithms (instruction series) a machine can produce relevant conclusions.  Put simply, machines are able to learn  without having to program them to perform a certain action.

Machine learning has been very useful in  various sectors of industry and commerce , with logistics being   one of the fields that is making the most of it.

Machine learning and its impact on logistics

Since machine learning is based on data processing and analysis, the fields that handle a fairly large 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 particular period or holiday.  

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

Help in decision making

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

Analysis of consumption behavior

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

Framed in this factor, 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 a month this chatbot  generated 53,000 interactions with users who sought to resolve doubts.

Can a company adopt machine learning?

If 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, machine learning is very helpful because  from known data it offers decisions.

With machine learning, a better logistics service can be carried out  and massive data will not be a problem to know how to interpret and make the corresponding decisions. Since user comments and conversations occur digitally, this type of technology handles a great deal of important information, obtains new knowledge and is able to detect new trends faster than a human being.

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

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

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

We hope that the information we have prepared is useful, thinking about you and how it could help you in your work areas.

As the publication mentions, everything is evolving so that we use the tools that are within our reach to finally make the best decisions. This is how in Driven, we deliver an intelligent fleet optimization and complete visibility of the entire operation, so that you can make the best decisions.

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