Everyone is talking about AI.
Most conversations focus on large language models, copilots, or autonomous agents. But after building iProcure.ai, an AI-native procurement intelligence platform, one lesson became clear:
*Enterprise AI is fundamentally a data problem before it becomes an AI problem.
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Modern procurement generates enormous volumes of information—supplier profiles, product catalogs, RFQs, quotations, certifications, categories, project requirements, and purchasing history. Yet much of this information exists in PDFs, spreadsheets, emails, WhatsApp conversations, and disconnected databases.
