AI
We have already mentioned in other blog post that artificial intelligence plays an important role in technological development and marketing for companies. It facilitates management and optimises information.
There is still a lot of progress to be made in this field, but it is progress that can be made quickly because “the hard part is already done”. The question is whether we will develop AI to the point of robotising our environment or whether it will be just another work support. For example, when they talk about AI in medicine, what do you imagine: a robot operating on a patient? Because in reality, artificial intelligence in medicine is the use of machine learning models to search medical data and discover insights that help improve health outcomes and patient experiences. Robotic precision is understandably more accurate, but decision-making is ultimately human and not always data-driven. Will we reach the point where we are not needed? Will we allow AI to make decisions instead of us? I can already imagine a scenario worthy of Terminator in the future (stop to recommend the film).
I, for one, have been trying to see how well the AI does at writing this blog post… and I don’t know what to tell you, would you notice that a robot has written it? Today’s topic, AI in Logistics.
AI in logistics
Artificial intelligence is already being applied in logistics to improve data quality, forecast analysis and transport forecasting. This has been achieved by using cutting-edge artificial intelligence to help identify patterns and anomalies, as well as to optimise fleet operations.
Data quality
Artificial intelligence can help identify errors in data, which is a problem faced by many companies. AI can also provide more accurate forecasts by analysing data collected from a variety of sources, and has the ability to do things like find patterns in customer service interactions that would otherwise go unnoticed.
Forecasting analytics
AI-powered systems have the ability to provide accurate forecasts because they have access to all relevant information at any time. This means that they will be able to provide more accurate forecasts than humans who only have access to a small amount of data at any given time.
Transport forecasting
With the help of Artificial Intelligence, transport forecasting has become an easier task and we can now save fuel and emissions by optimising transport routes based on real-time traffic conditions.
Strategic asset positioning
Logistics is a key factor in any successful business. It is the process of transporting goods from the supplier to the end user. Strategic asset positioning, optimised line and last mile transport planning and accurate forecasting are important aspects of logistics.
Optimised line and last mile transport planning
AI can help with this process by using data to make decisions on how to best optimise these three aspects for a company. AI can provide a more complete picture than any human could see on their own.
Do you think AI is an opportunity or will it replace us?
