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Example: Automatic completion of inquiry information | SaaS company

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last updated:Mar 13, 2025

homula
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The AI agent engages in chat support immediately after the form submission is completed, maintaining the user's interest!

We would like to introduce a case study of a SaaS company that implemented "generative AI" in their sales process. The company faced a challenge with a high dropout rate on their B2B inquiry form due to the cumbersome input of job titles and company size. To address this, they introduced an auto-completion feature for form inputs. When users entered their email address or company name, the AI automatically filled in the company information. This reduced the form dropout rate by 25% and expanded their opportunities for business negotiations. 【Case Overview】 ■Challenges - Slow response times after form submission led to a loss of customer interest. - Many of the inquiries received included leads with low purchasing intent. ■Results - Improved response speed immediately after inquiries, increasing the negotiation acquisition rate by 20%. - Enhanced lead scoring accuracy, boosting sales efficiency by 30%. *For more details, please refer to the related links or feel free to contact us.

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  • Related Link - https://homula.notion.site/f31eef1df9fb4c1e94893c0…

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homula

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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.

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