Case Study: Machine Tool Manufacturer | Optimization of Product Customization Proposals and Lead Management
The success rate of customization proposals has increased by 25%!
This is a case study of supporting the optimization of product customization proposals and the efficiency of the sales process at a construction machinery manufacturer. Challenges: Due to the need for customization for each customer, organizing inquiry details was complicated. The burden on sales representatives was significant, leading to delays in response speed. While there were inquiries from the website, it was difficult to convert them into business discussions due to unclear specific needs. Measures: LP creation: Published usage-specific and customization examples to clarify how to utilize the products. CMS implementation: Optimized the inquiry form to collect detailed information in advance. CRM utilization: Automatically classified inquiry data and assigned it to the most suitable sales representative. MA measures: Automated follow-up emails to potential customers to maintain interest. Results: The conversion rate to business discussions after inquiries increased by 2.2 times. The response time for sales was reduced by 30%. The success rate of customization proposals improved by 25%.
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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.