Poll results In our most recent LinkedIn poll, we asked the opinion of supply chain professionals about how they would describe their organisation’s priorities. This week’s poll was specifically in relation to the visibility of supply chain automation across their business functions. We asked our LinkedIn audience what level of visibility should business functions have […]
In last week’s blog, we looked at how the blame for supply chain crises, despite their often being global and relating to the operations of private companies, can often fall to governments. Using the baby formula shortage in the United States as a case study, we looked at the political effects and risks involved with
Poll results In our most recent LinkedIn poll, we asked supply chain professionals how they would describe their organisation’s priorities in relation to reducing CO2 emissions. We wanted to learn how they are thinking about reducing their current output of carbon dioxide (CO2) in line with pressing climate change prevention targets. This forms part of
In last week’s article ‘API: The Future of EDI’, we outlined two main systems for data transmission across supply chains. These systems are Electronic Data Interchange (EDI), which has integrated external B2B systems since the 1970s, and Application Programming Interfaces (APIs), which supplies real-time information accessible by other applications. Companies can also use specific APIs
Poll results In our most recent LinkedIn poll, we asked supply chain professionals how they would describe their organisation’s capabilities of data-driven supplier automation. We wanted to understand how organisations rate their ability to automate data when trading with their supply chain partners. This is part of our series of polls designed to better understand
55% of supply chain executives consider Web APIs (application programming interface) as an improved alternative to EDI. That’s according to an investigation conducted by the organisation Eyefortransport (EFT). This research argued that because supply chain data was increasing in scale and quantity, the collection and transmission of information would face new complexities. Therefore, they predicted
