Self-resolution rate before inquiries improved by 50%!
This is a case study of a precision parts manufacturer that implemented an AI FAQ system to reduce the burden of technical support operations and optimize inquiry responses. Challenges: Frequent specialized inquiries regarding product technical specifications and application ranges increased the workload for technical staff. The existing FAQ was not organized, making it difficult for customers to quickly find the information they needed. Measures: Implementation of an AI FAQ system: Built a self-service FAQ system by learning from past inquiry data. CRM integration: Established a system to record FAQ viewing history, allowing sales to prioritize responses to highly interested leads. Results: The number of views on the FAQ page tripled, and the self-resolution rate before inquiries improved by 50%. The burden on technical support was reduced by 40%, allowing for better resource allocation to sales follow-up.
Inquire About This Product
basic information
We provide a seamless service from consulting to development. Please contact us for more details.
Price range
Delivery Time
Applications/Examples of results
We provide a seamless service from consulting to development. For more details, please contact us.
catalog（1）
Download All Catalogs
Company information
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.
![[CRM Success Case] Japan Food Research Holdings Co., Ltd.](https://image.mono.ipros.com/public/product/image/2078084/IPROS8897995854058592868.png?w=280&h=280)
