About Rosette Text Analytics
Rosette Text Analytics is an AI-powered natural language processing platform that analyzes unstructured text across 364 language-encoding-script combinations. It extracts sentiment, intent, entities, and key insights from customer messages using machine learning and statistical modeling.
Saysimple customers benefit by automatically categorizing incoming WhatsApp, email, and chat conversations by sentiment and intent—enabling your team to prioritize urgent issues, identify upsell opportunities, and respond faster. Route frustrated customers to senior agents instantly, track conversation themes for product feedback, and measure team performance against sentiment metrics, all within your shared inbox.
Popular use cases
Prioritize High-Priority Messages by Sentiment
A retail brand receives hundreds of WhatsApp messages daily. Rosette Text Analytics automatically flags negative sentiment conversations so your support team addresses complaints first, reducing churn and turning frustrated customers into promoters.
Multilingual Customer Support at Scale
Healthcare and logistics teams serving global customers can now understand intent and emotion in 364 language combinations. A logistics provider instantly identifies delivery complaints in Spanish, Portuguese, or Mandarin without manual translation, enabling faster resolution across all markets.
Extract Actionable Feedback for Product Teams
Automatically surface feature requests, complaints, and praise from your WhatsApp conversations. Real estate and hospitality teams can feed conversation themes directly to product and marketing—identifying which properties, services, or features generate the most positive customer sentiment.
Qualify Leads in Real-Time Chat
Use Rosette to detect buying intent in web chat and WhatsApp conversations. Sales teams immediately know which prospects are ready to purchase, enabling faster follow-up and higher conversion rates without manual lead scoring.
