Large model solutions for state-owned enterprises
Intelligently create the future and customize the present - based on the proprietary big model, through privatization fine-tuning, create personalized demand scenarios for enterprises and realize the intelligent transformation of state-owned enterprises.
Smart Assistant
Through the knowledge base and workflow functions of the AI middle platform, intelligent customer service can enhance purchase intention by providing quick product information and promotion details before sales, improve shopping experience through personalized recommendations during sales, and improve customer satisfaction and loyalty through quick response and technical support after sales.
System Q&A
Based on the material system of state-owned enterprises, we construct a knowledge base and knowledge graph, extract problem-related knowledge from hundreds of system documents, use it as the context for the large language model to understand, conduct a comprehensive understanding and analysis of the conditions and processes in the system, and accurately answer customers' questions.
Smart employee training
The large model construction of state-owned enterprises is preset according to different scenarios, analyzes the characteristics of different scenarios, and optimizes different scenarios such as new employee training, full-time employee training, and mall user training to provide employees with a more immersive training experience.
智能文档&权限管理
The intelligent management system integrates artificial intelligence technologies such as natural language processing, machine learning, and knowledge graphs to achieve automated document processing, intelligent classification, content understanding, compliance analysis, risk point identification, and version control, reducing labor costs and ensuring data security.
Intelligent backend operation and maintenance
We use intelligent technology to solve the complexity of operational management in the e-commerce field of state-owned enterprises, and provide technical support for application scenarios such as demand forecasting, procurement planning, smart distribution, inventory management and intelligent supervision, thereby improving user satisfaction and market competitiveness.
Intelligent unmanned review
Intelligent unmanned review technology plays a key role in multiple scenarios such as supplier evaluation, decision support and situation awareness. It optimizes and improves business processes through natural language processing, machine learning, reinforcement learning, deep learning and other technical methods, providing strong support for various business scenarios.
产品语义搜索
The product database of state-owned enterprises integrates semantic search services, giving the platform semantic search capabilities.
Official document writing
Based on the documents of daily official documents of state-owned enterprises, combined with the AI middle platform, a knowledge base for official document writing is built, and system prompts are used to assist in the efficient writing of various types of official documents, including but not limited to notices, decisions, orders, instructions, replies, requests for instructions, reports, bulletins, announcements, notices, opinions, minutes, etc.
Create all-round "digital intelligence employees" based on the AI big model of state-owned enterprises
Refuse to wait out of the box
“Different application scenarios correspond to different needs”
.png)
Flexible architecture advantages and broad application prospects
“Application services on top and model platform on the bottom”
.png)
AI 安全与合规性 保障应用系统安全
“ 敏感数据处理 ” —— 在大模型微调时去除敏感数据，确保数据在处理前已经脱敏。
“ 应用层、系统层安全 ” —— 系统需集成网络安全措施，包括日志记录和异常检测。 实施强密码政策，确保系统软件安全，防止恶意攻击。
" Service transparency " - Display the target users, applicable scenarios and purposes of the service in a prominent position. For API services, the basic model information needs to be disclosed in the documentation.
私有化部署 专有大模型微调
“ It supports access to open source and custom fine-tuned large language models deployed locally by enterprises , giving full play to the capabilities of large language models and empowering business scenarios.”
.png)
Ready to use, build automation scenarios with enterprises
A domestic top 3 manufacturing leading enterprise
Faced with the challenges of market saturation and product homogeneity, a smart manufacturing company adopted the state-owned enterprise big model solution to transform and focus on improving personalized customization capabilities and service levels. Through the intelligent system, the company establishes close ties with customers, realizes full-scene and full-time services, quickly responds to personalized needs, optimizes production processes, improves efficiency, and reduces costs. Big data analysis helps predict market trends, and customized services enhance customer satisfaction and loyalty, setting an example for industry innovation and efficiency.
150%
Increased consultation rate
65%
Increased repurchase rate
用户之声
“I was excited when I saw this product because we spend too much on customer service staff every year!”
"It has rich functions and covers a wide range of areas. It has made all the functions we really need, which perfectly meets the needs of our company. Others are still experiencing various large models, but our company has already used it to make money and is considering purchasing more. Is this the highest evaluation of you?"
"Their large model of state-owned enterprises is very user-friendly. Although it needs training, we don't have to worry about it at all. Several scenes were trained directly and delivered to us. The key is that the after-sales service is also very thoughtful and the cost performance is very high!"
"I have to mention that smart training is a boon to our team. Instead of manually collecting information, it directly provides customized training content based on employees' positions and needs, and the effect is amazing."
“The system question-and-answer function is simply an efficiency tool for our company. It quickly extracts key knowledge from massive system documents, provides accurate context for large language models, and ensures accurate understanding and efficient answers to customer questions. This not only improves service speed, but also enhances customer satisfaction.”