{"@context":"https://schema.org","@type":"DefinedTerm","name":"Predictive Analytics","description":"A freight forwarder who discovers only after peak season that capacity fell short illustrates precisely the problem predictive analytics is designed to prevent. The approach applies statistical models to historical data—past demand patterns, carrier lead times, seasonal fluctuations, and disruption rates—to generate quantified forecasts of likely future scenarios. For logistics and freight operations, this translates into practical outcomes: earlier detection of capacity bottlenecks, more accura","inDefinedTermSet":{"@type":"DefinedTermSet","name":"Frachtportal Logistics Glossary","url":"https://www.freight-academy.com/en/glossary"},"url":"https://www.freight-academy.com/en/glossary/predictive-analytics-2","inLanguage":"en","dateModified":"2026-06-26T17:04:02.996111","citation":"https://www.ibm.com/topics/predictive-analytics","markdownMirror":"https://www.freight-academy.com/api/md/glossary/en/predictive-analytics-2","provider":{"@type":"Organization","name":"Frachtportal","url":"https://www.freight-academy.com"},"quickSummary":"Predictive Analytics · A freight forwarder who discovers only after peak season that capacity fell short illustrates precisely the problem predictive analytics is designed to prevent. · Quelle: https://www.ibm.com/topics/predictive-analytics"}