In a true lights-out factory scenario, if machines can self-diagnose and order their own replacement parts, does the purchasing department become an AI training dataset?

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That&#39;s a really insightful question about the future of manufacturing! In a true lights-out factory where machines self-diagnose and autonomously order replacement parts, the purchasing department doesn&#39;t exactly become just an AI training dataset - it transforms into something more sophisticated.Think of it this way: the traditional purchasing department&#39;s knowledge, processes, and historical data do become valuable training material for AI systems. All those years of supplier relationships, pricing negotiations, quality assessments, and procurement patterns get encoded into the AI&#39;s decision-making algorithms.But the purchasing function evolves rather than disappears. Instead of humans processing purchase orders, the department becomes responsible for:1. Setting the AI&#39;s strategic parameters (budgets, preferred suppliers, quality standards)2. Managing supplier relationships at a higher level3. Overseeing the AI&#39;s performance and making strategic adjustments4. Handling exceptions and complex negotiations that still require human judgmentSo yes, the purchasing department&#39;s historical data becomes training material, but the human expertise shifts to managing and optimizing the AI systems that now handle routine procurement. It&#39;s less about being replaced and more about working alongside increasingly intelligent automation.

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In a true lights-out factory scenario, if machines can self-diagnose and order their own replacement parts, does the purchasing department become an AI training dataset?

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