Accurate and organized data is a requirement for today’s logistics / supply chain manager. Business intelligence, such as algorithm-based optimal pricing models, pattern or usage based best practice recommendations, and real-time inventory management helps to analyze the critical areas of the logistics/ supply chain network. This allows for well-informed insights that leverage key business drivers, optimizing the logistics / supply chain process.

The world of logistics is moving to an on demand…call it an ‘Uberized’ model… where owning traditional assets is no longer a requirement to be a viable logistics company. A competitor to a traditional logistics service provider need not just be another LSP, but can be any platform provider or technology company that can aggregate supply and demand in one place and meet a customer’s requirement. This could look ideal or theoretical to a few but it is not impossible. To compete, all LSPs need...

Data. The very thing that lubricates the supply chain, especially in logistics and transportation, may cause the greatest security threat to the process it is enhancing. Data security issues in logistics can be identified and managed, albeit with some hurdles and planning. In this article I will address some of the issues that we are confronting today surrounding data security, and also identify some upcoming challenges for the logistics industry with the impending General Data Protection...

The supply chain is ripe for RPA to increase efficiencies and reduce costs, says David Rogers.

Quickly reacting to new levels of supply chain risk essential to maintaining business operations