Panalpina launches pilot schemes to trial potential of blockchain in logistics
Panalpina is to pilot applications for blockchain in logistics in an attempt to understand the potential ...
ZIM: TAKING PROFITXPO: CPI BOOSTMAERSK: WINNERCHRW: TOP 'QUANT' PICKGXO: KEY EXEC OUTAAPL: 'MUSK RISK'EXPD: SELL-SIDE BEAR UPS TARGETUPS: SLIDINGZIM: SURGING ON TAKEOVER TALKEXPD: CASHING INCHRW: INSIDER SALEFWRD: TRADING UPDATE
ZIM: TAKING PROFITXPO: CPI BOOSTMAERSK: WINNERCHRW: TOP 'QUANT' PICKGXO: KEY EXEC OUTAAPL: 'MUSK RISK'EXPD: SELL-SIDE BEAR UPS TARGETUPS: SLIDINGZIM: SURGING ON TAKEOVER TALKEXPD: CASHING INCHRW: INSIDER SALEFWRD: TRADING UPDATE
Inevitably we are going to writing more and more about Big Data this year. It is, so the saying goes, gaining traction. And rightly so, because while many supply chain managers – and the boards they report to – might find themselves bemused and befuddled by the pace of change in today’s society, much of it propelled by the super-speed connectivity of today’s society, Big Data represents a chance to make sense of those changes, almost as they are happening. “Advanced algorithms and machine learning can facilitate increased forecast accuracy across a company’s SKUs, which drives greater turns, less waste, less inventory, and fewer stock-outs, which leads to higher EBITDA, lower working capital, and greater competitiveness.”
Comment on this article