CoSupport AI
What is SetuServ?
SetuServ offers a sophisticated platform, Skierarchy™, designed to harness the power of machine learning combined with human intelligence. It specializes in analyzing large volumes of unstructured text data, such as online reviews, social media commentary, survey feedback, and chat logs, to uncover specific and granular insights without traditional market research methods. The platform structures this text data at scale, enabling businesses to understand customer sentiment, identify unmet needs, and make data-driven decisions.
The core approach involves building AI models uniquely tailored to each client's specific data, industry, and functional requirements. This customization ensures high accuracy and comprehensive insights, moving beyond generic AI solutions. SetuServ focuses on providing actionable intelligence for various business functions, including product development by identifying key areas for improvement, automating customer service responses by pinpointing critical feedback, optimizing marketing content by leveraging customer language, and providing competitive benchmarks through detailed consumer insights.
Features
- Insight Extraction: Uncovers specific and granular insights from various unstructured text sources.
- Text Structuring: Adds structure to massive amounts of unstructured text data.
- Custom AI Models: Develops AI models tailored specifically to client data and use cases via the Skierarchy™ Platform.
- Topic Prioritization: Identifies and prioritizes key topics mentioned in customer feedback for strategic action.
- Impact Quantification: Estimates the potential increase in ratings or sales resulting from addressing specific customer feedback points.
- Cross-Channel Feedback Aggregation: Collects and organizes customer comments from multiple channels.
- Competitive Benchmarking: Compares performance against competitors based on consumer discussion topics.
Use Cases
- Product development/Innovation based on customer feedback analysis
- Customer Service/Reputation Management Automation through feedback monitoring
- Marketing Content Optimization using authentic customer language
- Gaining deep Consumer Insights and identifying unmet needs
- ECommerce review analysis for product and service improvement
- Deal Support through market and customer intelligence
- Key Opinion Leader (KOL) Identification in specific industries (e.g., Pharma)
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