The conversion rate of inquiry leads via phone has increased by 20%!
This is a case study of a metal processing manufacturer that implemented an AI voice bot to automate telephone inquiries and improve the number of business negotiations generated. Challenges: There were many phone inquiries regarding quotation requests and product specifications, increasing the burden on sales representatives. The management of call response history was done manually, leading to insufficient accumulation and utilization of lead information. The appointment acquisition rate was low, and the inefficiency of phone responses resulted in lost business opportunities. Measures: Implementation of an AI voice bot: The inquiry content is automatically classified, and inquiries that can be handled by FAQs are processed by AI. CRM integration: The AI transcribes call content and automatically manages lead information. Creation of business opportunities: The voice bot conducts pre-screening for appointment acquisition. Results: Approximately 65% of phone responses were automated, optimizing sales resources. Strengthened lead management through AI support resulted in a 35% increase in the number of business negotiations. The conversion rate of inquiry leads via phone improved by 20%.
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Homula Inc. aims to fundamentally transform corporate productivity through the development and provision of the AI agent "Agens," which understands and executes business tasks related to daily business communications such as meetings, emails, and chats. We integrate multimodal information such as voice and text, allowing AI to autonomously process the "ToDos" that arise from daily communication. We provide an environment where the insights and judgments of talented personnel can be converted into knowledge assets and deployed across the organization as reproducible processes. In recent years, we have strengthened our collaboration with the globally recognized no-code automation platform "n8n." By combining the convenience of n8n, which allows for intuitive integration with business systems and SaaS, with Agens's natural language understanding and complex task execution capabilities, we are achieving a hybrid of user-friendly and advanced AI workflows in the field. From in-house business development by non-engineers to enterprise-level security compliance, data integration, and governance design, we support the entire process from Proof of Concept (PoC) starting in as little as two weeks to implementation, establishment, and self-sustainability.