Seoul, South Korea – September 22, 2026 -- AKA, a cognitive AI company, has completed an enterprise pilot of its EOS Sales Knowledge Engine with one of the world's largest consumer electronics companies, demonstrating measurable gains in sales knowledge accuracy and evaluation consistency across large, geographically dispersed retail and reseller networks.
EOS verifies sales claims against product documentation to close knowledge gaps
The pilot targeted a persistent problem in large-scale consumer electronics retail: keeping product knowledge consistent across linguistically and geographically diverse sales and reseller teams. Traditional evaluation relies on manager judgment for both soft-skill assessment and factual accuracy, a method AKA says introduces inconsistency and scales poorly across markets and languages.
EOS extracts factual claims made by sales representatives during practice conversations and verifies each one against the company's own product documentation. Claims that fail verification are automatically converted into targeted, citation-backed quizzes to close knowledge gaps at the source.
CEO says the pilot validates a factual-accuracy standard for sales training
"This pilot reinforced what we've built EOS to prove — that sales training outcomes should be measured by factual accuracy, not just how confidently a rep speaks,