How does IKEA come up with names for its products?

**Why IKEA’s Naming System Is the Ultimate Data Ontology** Beneath the flat-pack furniture lies a hidden intelligence network. IKEA’s naming conventions—Scandinavian place names for beds, male names for sofas, chemical elements for lighting—aren't quirky whims. They’re a deterministic taxonomy, a legacy API of product categorization that predates modern machine learning. In an era of chaotic SKU sprawl, their system is a masterclass in structured metadata: every syllable encodes form, function, and market positioning. This connects directly to the AI frontier. As enterprises feed LLMs with messy, unstructured datasets, IKEA’s approach shows the power of rigorous entity resolution. Their internal naming schema is essentially a pre-trained embedding space—reducing recall time and logistics friction. If your AI can't parse a "KALLAX" vs. "BILLY," you haven't solved intelligence; you’ve just made noise. The real signal here is that human-scale systems still beat brute-force compute. Before you train another transformer on raw catalogue dump, remember: the sharpest models will always learn from disciplined human design. Categorize like IKEA—or be lost in the warehouse of your own data.