The science of freight tracking has come a long way from the days of phone calls and paper driving logs.

A revolution in supply-chain technology is "on the horizon," says Paul Blake, director of technology marketing with GEP. He explains the nature of that change, and what's driving it.

Supply-chain technology is poised to reach an "inflection point," driven by the emergence of the platform as a unifying force, says Erik Olson, North American supply chain lead with Accenture.

To compete in today’s market, it’s imperative that supply chains employ digital technology.

The adoption of machine learning in enterprise technology is becoming the next arms-race for many vendors. Supply Chain Planning technology is currently experiencing a major step-change in its evolution. The point of no-return has been reached.

This is an exciting time with major benefits to be realized. Many companies sitting on a gold mine of data are set to realize its value. The only bad machine learning plan is no plan at all. Machine learning is a crucial part of a comprehensive digital transformation strategy.

One does not need to look far to find confirmation that supply chains are changing dramatically. At the present time we observe three forces of change in global supply chains: consumer-driven forces, geopolitical changes, and technology and the digitalization of supply chains.

Agile supply chains exist almost as the antithesis of efficient supply chains. Agility requires the ability to detect, analyse and execute the best possible business decision regardless of traditional sources of supply and demand.

How do companies manage the arduous journey of end-to-end digital transformation, while keeping the business operating?

Artificial intelligence is having a dramatic impact on both shippers and carriers, helping to determine optimal pricing and promote transportation efficiency.

Welcome to the age of the "personal supply chain," a necessary response to the growing demands of consumers and the requirements of e-commerce.