Transport + Logistics Applications

With continuing economic globalisation, supply chains have become the lifeblood of virtually all industries. But given their high volume of moving parts (often separated by state lines or even oceans) these expansive logistical operations are no easy feat to oversee. Across the world, supply chain managers face unique challenges when it comes to not only monitoring their supply chains, but also improving them. That’s why the future of supply chain management lies in the advancement of autonomous logistics.

With the rise of autonomous supply chains or 'smart supply chains', supply chain managers can utilise digital technologies and capabilities like advanced data analytics to harvest extensive data points on all their most valuable performance metrics. The ability to record real-time data points is a game changer for supply chain managers, who can use these insights to make data-driven decisions that tailor the development of their operations to better support their wider business goals.

At Rayven, our AI supply chain tracking tool has been developed to provide supply chain managers of today and tomorrow with the ultimate Industry 4.0 investment. A centralised management solution, Rayven’s AI supply chain tracking tool utilises emerging technologies like machine learning algorithm makers and generative AI interfaces to deliver real-time data insights designed to revolutionise your supply chain operations.

To unpack how our tool relates to the ultimate goal of autonomous logistics, our experts will be sharing their own insights into the future of supply chain management, covering everything from current to emerging trends in supply chain tracking, as well as covering some of key areas for future innovation and what you can expect to see from advanced supply chain technologies.

Top Current Trends in Smart Supply Chain Management

As a naturally decentralised operation, the idea of a centralised supply chain tracking solution can feel counterintuitive at first. But the best digital solutions are always tailor-made to fit the industries and worksites that use them. This transitional period from the information age through to the digital age has provided our engineers and designers at Rayven with an ideal training ground for their digital supply chain technologies...

Continue reading The Future of Supply Chain Management: Top Emerging Trends

As we transition further into the age of Industry 4.0 and enterprises across the globe utilise the power of data analytics, optimising supply chains can feel simultaneously attainable and still entirely inaccessible. After all, how do you collate and organise performance data from fleet to fleet?

By nature, supply chains are inherently decentralised, scattered across different fleets, shipping facilities, and warehouses. So it stands to reason that the key to smart supply chain management is developing autonomous logistics systems that creates an operational workflow and connects all the individual components of your supply chain together. And that’s where AI comes into the picture.

Today, our solutions specialists here at Rayven will be breaking down how AI is used in supply chain tracking. We’ll be sharing how AI and machine learning capabilities like generative AI can aid in data interpretation and improved decision-making for supply chain managers – and we’ll also be covering all the potential pitfalls or obstacles that you may come across when looking to integrate AI tools into your supply chain operations. Let us help you prepare for the impending digital transformation of your organisation’s own supply chain.

Key Areas for AI Integration in Supply Chain Management

If you’re wondering how AI can be used in your supply chain, then let’s begin by outlining the key operations where our AI solutions at Rayven are currently being utilised to improve operational efficiency...

Continue reading How is AI Used in Supply Chain Management?