What percentage of voice shopping intents are misclassified, causing customers to reach wrong product categories or trigger unintended actions more than 18% of the time?
Identify common intent misclassification patterns in voice commerce to improve NLU model accuracy and reduce customer frustration.
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What percentage of voice shopping intents are misclassified, causing customers to reach wrong product categories or trigger unintended actions more than 18% of the time?
Bruin connects to your Search & Personalization, Analytics, Customer Support and runs the analysis automatically.
It tracks Misclassification rate, common error patterns, correction rate and delivers the answer in seconds, in Slack, Discord, Teams, Google Chat, WhatsApp, Telegram, email, or your browser.
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