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Myth 2: AI-powered transportation requires big internal changes The reality: Quite the contrary. Over the past five years, the logistics and supply chain industry has seen a lot of changes, and AI has been a big part of that. Earlierstage AI-powered solutions required time to adapt, though now they are designed to integrate seamlessly with existing systems for easy adoption.
The proof: Many businesses have implemented AI solutions without overhauling their existing processes. Autonomous procurement solutions, for example, can connect via APIs, facilitating quick adoption with minimal disruption. The“ big internal change” in this instance would then be that the team spends less time on simple activities like accepting offers and more time on value-adding, strategic tasks. In other words, there is a degree of internal change; but it’ s beneficial, not disruptive.
Myth 3: AI-powered transportation adds little value and can’ t actively perform critical tasks The reality: AI isn’ t purely about automation anymore. It now actively improves decision-making, helping people optimize procurement, pricing, and carrier selection, resulting in better and faster decisions.
The proof: AI earned its place as an established tool in logistics. For instance, AI-driven procurement solutions identify the best transportation capacity at the
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