Boost Your Contact Center Outcomes with Convin LLM
Elevate your contact center operations with Convin's custom-built, in-house Large Language Model (LLM), designed to transform how you manage customer interactions and call center processes.
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Why Convin LLM?
Convin LLM outperforms leading models like GPT-3.5 by 40% and GPT-4 Turbo by 20%.
Excels in Indic and South Asian languages, including codemixed variations. Suited for multilingual environments where language mixing is common.
Convin LLM delivers superior performance at approximately 1/3rd the cost of traditional GPT models.
The language model is suitable for large-scale operations. It specializes in contact center tasks–focusing on improving agent-customer interactions.
How does the Convin language model transform your business?
Transcription accuracy and contextual understanding
- Our Contact Center LLM is a 7-billion parameters model.
- Designed and trained on over 200 billion tokens across 35+ Indic and South Asian languages, including codemixed data.
- The LLM handles complex, multilingual scenarios typical of our contact center market.
- Ensures representation of diverse linguistic patterns and dialects.
- Tailored approach allows the model to more accurately understand and respond to the nuanced language patterns.
- Customer-specific instructions and feedback loops significantly reduce hallucinations.
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Language Model Developed In-house
- Instead of using pre-existing models like GPT, we built a custom solution tailored to your needs.
- In-house built language model allows customization and control.
- Allows Convin to implement client-specific ethical guidelines, regulatory compliance, and organizational values.
- Maintaining an in-house model ensures sensitive client information remains within a secure infrastructure.
- Convin LLM’s scalable architecture and efficient training strategies result in cost-effective deployment and operation, maximizing efficiency and scalability.
Enhance Agent Capabilities and Operational Efficiency
- Quick, accurate responses to customer queries, improving response times and consistency.
- Identifies and extracts critical information from conversations.
- Generates concise summaries of lengthy conversations for efficient knowledge transfer.
- Enables data-driven decision-making using predictive analytics for lead scoring, CSAT, and collection scores.
- Generates real-time insights into customer sentiments throughout the conversation.
- Suggests appropriate responses or generates draft replies, improving consistency and reducing response time.
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Enterprise-Grade Privacy and Security
- Data processing on a robust in-house infrastructure ensures complete control over sensitive information.
- Advanced data protection measures like industry-standard encryption, strict access controls, and regular security audits safeguard data.
- Proactive measures like input filtering, output sanitization, and data anonymization prevent data exposure or misuse.
A team-wide solution
- Reduce handling time, allowing agents to assist more customers effectively.
- Real-time insights into customer emotions and suggested responses help agents tailor interactions.
- Automated summaries free up agents' time for more strategic tasks.
- Real-time monitoring allows intervention opportunities and overall team performance.
- Deep insights into agent performance and interactions facilitate informed decision-making.
- Ensure consistent and effective agent training, reducing the need for manual oversight.
- High-accuracy transcription and data extraction enable precise evaluation of agent performance and customer interactions.
- Standardize the evaluation process, ensuring fair and consistent quality assessments across all interactions.
- Cost-effective and scalable solutions allow leaders to expand operations without compromising quality or performance.
- Robust data privacy practices ensure that all customer data is secure, building trust and compliance with regulatory standards.
Stop managing customer
data in silos
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Our customers love us
See how our clients transformed their customer conversations.
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