GoML helped SimplicityDX overcome limits in generative AI social media analysis. Noisy posts with slang, emojis, misspellings and inconsistent naming kept perfect match accuracy at 74 percent. GoML redesigned the LLM prompt framework with better extraction rules, domain examples and contextual cues.
This let AI models interpret informal creator captions more reliably without changing underlying systems. Tested across labeled datasets and multiple models, the improved prompts raised perfect match accuracy by about 22 percent.
It also cut product extraction errors by 30-40 percent and improved creator storefront product mapping reliability by 25 percent, supporting scalable AI for commerce use cases.
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