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Catalog Matching With LLMs: Why Changing Knowledge Should Stay Outside the Model
Product catalog matching looks simple until real-world data enters the picture. The same product may appear under different names, abbreviations, languages, units, brand conventions, or category struc
#matching#rag#llm#finetuning#catalog-management-in-ecommerce#catalog#retail#retailtech#retailtransformation#erp
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Ahmet Özel
AI Engineer. Computer Vision, RAG and LLM agents.
The supplier-specific JD example is where I would attach scope to each validated decision. An abbreviation accepted for one retailer or product category can be a misleading demonstration for another, even when its text embedding is extremely close.
Store the supplier, category, effective policy and decisive attributes with the reviewed pair, then filter example retrieval by those constraints before ranking. A confirmed brand alias should also remain separate from a confirmed product equivalence: matching the brand does not establish that pack size, volume or variant are interchangeable. That keeps a useful correction from silently becoming a broader rule.