Benefits and real-world scenarios of adopting an ocean freight visibility platform
The past few years have served as a stark reminder of the vulnerabilities in ocean ...
WTC: RIDE THE WAVEFDX: TOP EXEC OUTPEP: TOP PERFORMER KO: STEADY YIELD AND KEY APPOINTMENTAAPL: SUPPLIER IPOCHRW: SLIGHTLY DOWNBEAT BUT UPSIDE REMAINSDHL: TOP PRIORITIESDHL: SPECULATIVE OCEAN TRADEDHL: CFO REMARKSPLD: BEATING ESTIMATESPLD: TRADING UPDATEBA: TRUMP TRADE
WTC: RIDE THE WAVEFDX: TOP EXEC OUTPEP: TOP PERFORMER KO: STEADY YIELD AND KEY APPOINTMENTAAPL: SUPPLIER IPOCHRW: SLIGHTLY DOWNBEAT BUT UPSIDE REMAINSDHL: TOP PRIORITIESDHL: SPECULATIVE OCEAN TRADEDHL: CFO REMARKSPLD: BEATING ESTIMATESPLD: TRADING UPDATEBA: TRUMP TRADE
This piece from Tech Target analyses the emerging predictive logistics trends in the supply chain and the concept of precise ETA (expected time of arrival). While the use of real-time information to find out where goods are in a supply chain is commonplace, the insight given here is on the use of machine learning to predict and provide more accurate ETAs.
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