<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title><![CDATA[AI in Logistics: Are We Finally Moving From Optimization to Full Autonomy?]]></title><description><![CDATA[<p dir="auto"><a href="https://appinventiv.com/blog/ai-in-logistics-industry/" target="_blank" rel="noopener noreferrer nofollow ugc">AI in logistics</a> is rapidly evolving from basic automation and route optimization to more advanced predictive and decision-making systems. With growing adoption of machine learning and real-time data processing, logistics operations are becoming faster and more efficient. However, challenges like legacy systems, integration complexity, and trust in autonomous decisions still slow down full-scale adoption.</p>
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