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  6. Example: Database search using generative AI | Company providing apparel-related data

Example: Database search using generative AI | Company providing apparel-related data

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last updated:Mar 13, 2025

homula
homula
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Introducing a case study of an app developed with a database search function!

We would like to introduce a case where "generative AI" was implemented in the sales of a company that provides data related to apparel. The company faced the challenge of inefficiency in searching and assigning sales data. As a solution, we developed an application that includes a database search function. The duration was three months. [Case Overview] ■ Product Category: Generative AI ■ Duration: 3 months ■ Challenge: Inefficiency in searching and assigning sales data ■ Solution: Developed an application with a database search function *For more details, please refer to the related links or feel free to contact us.

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Example: Database search using generative AI | Company providing apparel-related data

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

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Homula Inc. Company Profile

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Case Studies of Generative AI Utilization

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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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