Core Business Scenarios
Pre-Sales Lead Generation
Automatically identify high-intent customers, efficiently collect key information, and improve lead conversion rates
- 24/7 reception, covering nights and holidays, providing second-level response
- Accurately judge customer intent and lead generation willingness in open conversations
- Leverage rich product knowledge and strong general knowledge to provide high-quality professional answers and enhance customer trust
Effects
Conversion rate from inquiry to lead increased from to 40%
Save over million in labor costs annually
Software Usage Consultation
Quickly respond to user questions, efficiently guide users on software features, and help new users get started quickly
- Accurately understand vague or incomplete user questions, quickly locate specific functions or interface operations
- Provide contextually consistent and easy-to-follow guidance under different versions, permissions, or personalized configurations
Effects
Independent reception rate reaches
Technical Support
For customers and internal teams, automatically answer product technical questions during after-sales or product usage, provide troubleshooting guidance and ticket routing, improving service efficiency
- Accurately identify semantic expressions and contextual dependencies of complex technical issues, ensuring accurate answers that match user scenarios
- Based on intelligent agent knowledge base, quickly locate problems through large model analysis and provide comprehensive solutions
- Smoothly escalate to human handling when problems cannot be solved
Effects
Accuracy exceeds , average response time within 3 seconds
Independent reception rate increased from to 35%
Case Studies & Quantified Effects
SaaS Enterprise Website Unmanned Customer Service
Challenge:
- •Human customer service cannot provide full-time coverage, traditional form lead generation rate is low
- •Human customer service training cycle is long, cannot quickly and effectively cover all product professional knowledge
Solution:
Deploy Zenava to work independently on the website, combining product feature introductions, industry cases, and product highlights to provide professional interpretation for customers, automatically conducting preliminary screening and information collection of leads
Quantified Effects:
- Full-time coverage of pre-sales reception, achieving unmanned website customer service
- 46%Lead generation rate as high as , exceeding human lead generation rate by 40%
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Software Company Internal Technical Support
Challenge:
- •Internal support processes are complex, such as system function usage and system integration requiring coordination from multiple positions
Solution:
Deploy Zenava, integrating product operation documents, product descriptions, technical support FAQs, and pre-sales solution documents to build a knowledge base, providing full-time coverage for questions from sales, pre-sales, customers, and implementation engineers
Quantified Effects:
- 15%Customer-facing employee efficiency increased by ~30%
- 40%Technical support team saves of internal support time
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Unveiling a New Chapter in Intelligent Conversations
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