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.
Machine learning is very useful in several industries, with logistics being one of the fields that is making the most of it.
Since machine learning is based on the processing and analysis of data, the fields that handle a fairly broad database will benefit the most. In logistics, there have been several benefits of machine learning and these are some.
Machine Learning in Logistics
1) 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.
2) 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.
3) 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 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 companies should adopt machine learning?
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, machine learning handles a large amount of important information, obtains new knowledge and is capable of detecting new trends faster than a human being.
Machine learning offers enormous number of advantages in logistics. Organizations that care about their logistics and generate a lot of data must understand the basic principles of machine learning and what it brings to them.
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