Coyote
AI & BIG DATA
Coyote
Logistics : Helping You Deliver on Your Promises
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lifecycle ,” says Raja . “ Companies need to be able to ingest and process their data across diverse sources , including external data sets such as weather , geopolitical implications , local event calendars or social commentary data .”
“ This then must be analysed , in real-time in some cases , to provide immediate insights that can help them successfully manage their operations . Whether that ’ s a seamless automated check-in at the airport or monitoring temperature-controlled trucks delivering perishables or pharmaceuticals that will be rendered useless if the temperature nudges up a couple of degrees , the edge , in particular , must be smarter and richer . It needs to be able to collect , store and process intelligent data at the edge itself , to make real-time personalised actions required to best enable an efficient logistics cycle .”
Raja adds that he believes it ’ s vital that logistics firms have complete visibility and transparency over all stages of the journey . “ Having the right data-in-motion solution that is able to process data collected at the edge , all the way through to the enterprise
DECEMBER 2020