· 5*8 Service support
· Real-time responses
· Remote support to ensure business continuity
· SSO single sign-in implements unified identity authentication
· Support multi-level user group policies
· Ensure sensitive data isolation and system security compliance
· Support multiple workspaces and multi-tenancy
· Enable permission isolation between internal and external teams within an enterprise
· Data, configuration, and resources are completely independent in each space
· Private K8S cluster deployment
· Provide automated operations and maintenance and elastic scalability capabilities
· Achieve a highly available architecture with zero downtime.
What does eCloudrover Provide?
- Manufacturing
- Semiconductor
- Retail/e-Commerce
Manufacturing 【Challenge】 The client is a well-known domestic automotive parts manufacturing company. During the R&D design and go-to-market phases, traditional product draft design and illustration processes were time-consuming and labor-intensive. Designers' fleeting inspiration became a bottleneck in efficiency, delaying product launch and R&D timelines. 【eCloudrover Solution】 eCloudrover assisted the client's core product department in designing and creating an enterprise and private RAG intelligent knowledge base Enable document-based question-and-answer functionality, management, and “text-to-image” and “image-to-text” capabilities, which supports automated product design and description. Additionally, the UI design was customized according to the client's brand and usage habits to create a user-friendly and intuitive interface. The system was then tested and deployed to ensure stability and security, with assistance provided for the launch. |
Semiconductor 【Challenge】 The client, a globally known semiconductor company, faced challenges such as low efficiency in document search during wafer design process, high reliance on manual labor for procurement and supply chain management, and employee training pressures resulting from technological iterations. 【eCloudrover Solution】 eCloudrover leveraged Dify enterprise version to help the client build a design rule knowledge base, enabling automated search of relevant wafer design documents, and develop an AI-powered chatbot to automate the design process. Through agents such as intelligent procurement agent, intelligent supply chain agent, and intelligent supplier management agent, manual intervention was reduced. Additionally, advanced technology training agent and new employee training agent were deployed to enhance employee training mechanisms and improve training quality. |
Retail/e-Commerce 【Challenge】 The client is a retail company listed among the Fortune Global 500. Their automated customer service system has a fixed dialogue logic and is unable to understand user questions and provide precise answers. Additionally, the client needs to analyze competitor data to develop marketing strategies, but since competitor data comes from multiple channels, manual data collection is time-consuming and prone to omissions. 【eCloudrover Solution】 eCloudrover developed an intelligent customer service robot based on Dify. This robot generate relevant recommendations based on the customers questions and further guide customers in asking for more information. Additionally, we utilized RPA technology to build an automated competitor analysis robot for the client. Through AI-Agent leveraging LLM, detailed analyses are generated, including consumer sentiment evaluations. These insights are used to optimize product design, enhance user satisfaction, and strengthen brand loyalty. |
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