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  6. Case Study: Chemical Manufacturer | Automation of Lead Response and Improvement of Deal Conversion Rate through AI

Case Study: Chemical Manufacturer | Automation of Lead Response and Improvement of Deal Conversion Rate through AI

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last updated:Mar 13, 2025

homula
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Lead response speed improved by 70%, preventing outflow to competitors.

A case study of a chemical manufacturer that improved its deal conversion rate through the automation of lead management using AI. Challenges: The number of BtoB inquiries was increasing, but the speed of sales responses was slow, leading to a high number of leads being lost to competitors. The diverse applications of the products made it difficult for sales to quickly identify the appropriate targets. It was challenging to respond immediately to all leads, resulting in missed opportunities for high-potential leads. Measures: Implementation of an AI lead management system: AI automatically replies immediately after inquiries and organizes lead information in real-time. Lead scoring: AI analyzes behavioral data to automatically extract cases that sales should prioritize. CRM integration: High-conversion leads are identified in real-time and notifications are sent to sales representatives. Results: Lead response speed improved by 70%, preventing loss to competitors. The deal conversion rate for inquiry leads increased by 45%. The efficiency of sales responses led to a 30% increase in the success rate of lead follow-ups.

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Case Study: Chemical Manufacturer | Automation of Lead Response and Improvement of Deal Conversion Rate through AI

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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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