Recent events have brought into sharp focus the vulnerability of supply chains.

Much of that vulnerability relates to the lack of visibility of inventory, whether static or in-transit, and how it can be affected by factors that are typically beyond the scope of a company's own supply chain.

Given this, the ability to effectively collaborate with the various stakeholders across the different tiers of the supply chain is becoming increasingly critical. Reliable, accurate data shared by – and visible to – all parties is key to improving results and cutting costs.

Logistics specifically is a matter of networks – including strong partners and startups, whether in business operations or in IT. Regardless of industry, companies are increasingly turning to emerging technologies like AI/ML, Blockchain and IoT to understand on an even more granular, real-time and physical level how their supply chain might be impacted by problems with their own operations, with their suppliers (and supplier's suppliers) or with their customers (and customer's customers).

I have been working with some of our partners recently on a variety of data-driven logistics use cases for some of the most innovative companies. These engagements have helped to derive a number of repeatable paths to value for our clients.
Let´s take a closer look at 3 areas of focus: