Twitter’s veritable firehose of data has its uses, particularly in the fields of AI and machine learning. Chik-fil-A began tapping it to spot signs of foodborne illness at its restaurants, and scientists at the Joint Research Center — the European Commission’s science and knowledge service — earlier this year detailed a that gauges real-time flood reports from Twitter users. Now, in a new city logistics study (““) spearheaded by a Mines ParisTech team, tweets were analyzed by a machine learning algorithm to track conversation trends concerning city logistics, and particularly around issues like low emission zones and urban distribution centers.

“The role of logistics is to make goods (and services) available to consumers efficiently, both in terms of costs and customer service … City logistics

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