Simple products worked, but complex specs exposed a critical gap.
Amazon’s B2B distribution worked fine for simple products like paper towels, but the moment specs get tricky, its model breaks down. Most industrial products live or die on context: temperature thresholds, compliance codes, compatibility quirks. Amazon lacked this contextual ingredient. That’s precisely what large-language models excel at. Transformer models can embed context, turning the messy details of industrial distribution into valuable assets for an industry still playing catch-up on technology.
— AI For Private Equity — The Future Of B2B Distribution · Forbes