Relevance Generative Answering (RGA): Transforming Business Operations with AI

Technology

Relevance Generative Answering (RGA) leverages cutting-edge AI technology to address customer inquiries with precision and relevance. At its core, this system utilizes Large Language Models (LLMs) to analyze user queries, transforming them into actionable database queries. By retrieving relevant data from the company's database and summarizing it into meaningful responses, the system ensures users receive accurate and concise answers.

Below is a comparison between using an open LLM (e.g., ChatGPT) and the custom-built RGA system:

Feature	Open LLM (e.g., ChatGPT)	RGA (Own System)
Data Source	Trained on general, public data	Custom queries on company-owned data
Accuracy	Generalized responses	Highly relevant, domain-specific data
Integration with Database	Limited or indirect integration	Fully integrated with internal systems
Security	Data sent to third-party servers	Data remains within company servers
Customization	Limited	Fully customizable for business needs

By using RGA, companies can offer accurate and secure responses tailored to their business needs, avoiding the limitations of general-purpose open LLMs.

Benefit for Clients

Companies in industries like insurance, pharmaceuticals, and retail have experienced transformative benefits by implementing RGA. These include enhanced customer satisfaction through accurate and personalized responses, reduced operational costs by automating repetitive queries, and improved data utilization for strategic decision-making in marketing and sales.

Case Study

When a Bus Travel Agency faced challenges managing a high volume of customer inquiries, CC Concept stepped in with RGA. The system was seamlessly integrated into their workflow, addressing questions about schedules, pricing, and promotions with speed and accuracy. The impact was immediate: happier customers, fewer repetitive inquiries, and actionable insights for the business. This transformative solution not only boosted customer satisfaction but also strengthened their marketing and sales initiatives, creating a win-win situation.