Leveraging The Power Of Artificial Intelligence (AI) In Logistics
If you’ve so much as glanced at the news lately, you’ve no doubt seen the buzz that artificial intelligence is making. From powerful image generation to chat interfaces that appear frighteningly human, it seems like years of missed predictions and endless speculation are finally materializing. As expected, these new advances, especially regarding AI in logistics, portend rumblings
of disruption.
AI and machine learning technology are now poised to seriously impact how businesses and entire industries operate. And while digital images and chatbots seem unrelated to complex business processes, the technology that drives these novel products has much broader implications beneath the surface. Specifically, in the realm of operations and logistics, the AI transformation is
already underway.
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A Primer on Artificial Intelligence
Artificial intelligence (AI) refers to the ability of a computer or machine to perform tasks that would normally require human intelligence, such as recognizing patterns, learning from experience, and making decisions. There are several different approaches to building AI systems, but most of them involve the use of machine learning algorithms.
Machine learning algorithms are designed to recognize patterns in data and make predictions or decisions based on those patterns. To do this, they must be trained on a large dataset of examples. For example, if we wanted to build an AI system that could recognize images of dogs, we would need to feed it thousands of images of dogs, along with labels indicating that they are images of dogs. The machine learning algorithm would then analyze the data and learn to identify characteristics common to images of dogs.
Once the machine learning algorithm has been trained, it can make predictions or decisions on new, unseen data. For example, if we fed it an image of a cat, it might be able to correctly classify it as an image of a cat because it has learned the characteristics common to images of cats.
There are many different types of machine learning algorithms, and they can be used to solve a wide variety of problems, from predicting stock prices to detecting spam emails to recognizing speech and language. The specific algorithm or approach will depend on the specific problem that the AI system is trying to solve.
AI uses machine learning algorithms to recognize patterns in data and make predictions or decisions based on those patterns. This allows computers and machines to perform tasks normally requiring human intelligence, such as recognizing images or understanding spoken language.
Predictive Powers of AI in Logistics
The last few years have underscored just how broken logistics and supply chain management really are. And while there are advances in technology that mitigate some of the challenges, companies like Ceres and solutions like Nostradamus are leveraging the predictive power of AI to disrupt operations and affect real change.
Nostradamus can already analyze and learn from large swaths of data to optimize logistics and predict potential supply chain disruptions. By analyzing data from past and present geopolitical conditions, economic variables, supplier information, and countless other data sets, Nostradamus is capable of:
- Prescriptive analysis that’s capable of monitoring countless supply chains variables, from at-risk purchase orders and supplier status to port congestion and shipping delays
- Predictive analysis uses data to simulate likely future scenarios, giving businesses insights that are next to impossible to glean without the predictive power of artificial intelligence
- A truly scalable approach to managing complex logistics that are limited only by the available data
Like the AI in the news, the true disruptive potential of Nostradamus lies in data. The world’s data growth is exponential, and it’s a result of both location and creation. Many variables for measuring political impacts, changes in weather, and the economics of supply and demand across supply chains are already immense and growing by the minute.
Meanwhile, data points from sources such as sensors located in shipping containers and on shipments will require a hands-on approach. But as leaders in artificial intelligence for the supply chain, creating data is something Ceres is intimately familiar with.
Stay Ahead of the Curve With Nostradamus
The sole advantage of AI in the news over solutions like Nostradamus is the sheer amount of data available to learn from. When an organization implements an artificial intelligence platform across its supply chain, they’ve begun building toward a critical mass of data that results in profound predictive capabilities in business logistics. By partnering with Ceres, you’ll ensure your company is ahead of the curve when business logistics undergoes the imminent disruption of artificial intelligence.
Put simply, the sooner your organization leverages AI, the further into the future it will see over the competition. Contact us today to schedule a free demo.
The benefits of AI and analytics–powered supply chains are plenty, and now is the best time for your business to leverage them.
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