{"id":7409,"date":"2022-08-26T12:10:32","date_gmt":"2022-08-26T10:10:32","guid":{"rendered":"https:\/\/serengetitech.com\/?p=7409"},"modified":"2025-10-28T10:43:40","modified_gmt":"2025-10-28T09:43:40","slug":"9-use-cases-of-machine-learning-in-logistics","status":"publish","type":"post","link":"https:\/\/serengetitech.com\/de\/business\/9-use-cases-of-machine-learning-in-logistics\/","title":{"rendered":"9 Use Cases of Machine Learning in Logistics"},"content":{"rendered":"\n

Global market competitive forces have placed high expectations on logistics operations regarding speed and dependability.<\/p>\n\n\n\n

At today's fast-changing market, the whole logistics system is customer-service focused. Customer service is defined by the timely, dependable and accurate delivery of undamaged items.<\/p>\n\n\n\n

Today, traditional logistics operations are being transformed by technology, forcing supply chain leaders to adapt. One of the technologies that transform this sector is machine learning.<\/p>\n\n\n\n

Machine learning enables logistics service providers to analyze vast amounts of data and improve logistics<\/a> management. Machine Learning (ML) is a popular type of artificial intelligence (AI). Businesses worldwide are adopting this technology fast in order to change various business operations. As a result of this digital revolution, goods, services and workplaces are using machine learning<\/a> to simplify, automate and improve their processes.<\/p>\n\n\n

Facts and Figures<\/strong><\/h2>\n\n\n

The Global AI Market is anticipated to achieve a revenue of 118 billion<\/p>\n\n\n\n

dollars by 2025, according to Tractica<\/a>, a market research organization.<\/p>\n\n\n\n

Amazon automates picking and packing items in a warehouse logistics setting using a machine learning algorithm. Thanks to machine learning, Amazon's average 'click to ship' time was reduced by 225%, from 60-75 minutes to 15 minutes (Forbes).<\/p>\n\n\n\n

91% of leading businesses are currently investing in AI (Businesswire).<\/p>\n\n\n\n

44% of organizations reduced business costs with AI (McKinsey).<\/p>\n\n\n\n

The Azure Machine Learning framework predicts stock market peaks and troughs with a 62% accuracy (Microsoft).<\/p>\n\n\n\n

According to McKinsey<\/a>, implementing AI<\/a> has helped companies to improve logistics costs by 15%, inventory levels by 35% and service levels by 65%.<\/p>\n\n\n

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