In this paper we look at how IoT, AI, and blockchain (in combination; and when integrated with more traditional business systems and business network practices) can give form to the notion of a smarter, more ‘autonomous’ supply chain; how these components fit together, and how they each add value generally; and use some examples (around tracking, traceability and asset provenance; digital twinning and whole-life lifecycle management; and end-to-end insurance, global payments, and logistics admin) to illustrate the affordances specifically (as well as look at the benefits and risks in deployment). 

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