Challenges facing the manufacturing industry in the AI era
R&D
In the field of industrial product design, during the R&D, design and planning stages, the traditional design process usually includes multiple links such as concept design, rendering concept drawings, screening and evaluation, which require a lot of manual participation and repeated modifications, resulting in long cycles and low efficiency.
Production
In the production and manufacturing process, many manufacturing companies face challenges such as scattered internal information, insufficient data information transmission, and lack of knowledge operation capabilities. Capabilities such as knowledge question answering and code generation have become important exploration directions.
Product Management
With the rapid development of big models in business management and product service, equipment management, intelligent question and answer, data analysis and other capabilities based on big models have become mainstream applications. The capabilities of big models are integrated into products, becoming the focus of exploration for improving the intelligent capabilities of products in the manufacturing field.
SERVICEME empowers manufacturing companies to continuously enhance and streamline their production processes, resulting in a significant increase in productivity.
Product design
Analyzes the personalized needs and consumption preferences of market consumers, compiles product feedback, and offers design suggestions along with innovative inspiration.
- Create unique design solutions
- Reduce the time of the product design cycle
- Accelerate product innovation and iteration speed
Testing and Maintenance
By analyzing historical test data and feedback data, predict future performance trends, assisting manufacturers in identifying potential failure points or areas requiring improvement.
- Enhance product quality
- Reduce maintenance costs
- Accelerate product innovation
Process Quality Control
Collect all relevant quality reports throughout the production process, including inspection records, test results, failure reports, rework logs, and more, to aid in identifying potential quality issues and ensure the stability and safety of the operational systems.
- Raw material inspection
- Production processing control
- Rework and improvement
Production process optimization
By analyzing text data on the production line, such as machine maintenance logs or operator notes, it can help identify potential production problems or inefficiencies, thereby optimizing the production process.
- Equipment maintenance optimization
- Material management optimization
- Quality management optimization
Supply Chain Management
Supply chain management helps companies better cope with market fluctuations, reduce inventory costs, and improve supply chain flexibility and responsiveness by analyzing supply chain data, predicting demand changes and supply risks, and optimizing inventory management and logistics planning.
- Supply risk management
- Logistics planning and execution
- Market demand forecasting
Customer Case
World-Renowned
household appliance manufacturer
The enterprise IT workstation needs to manage a large number of internal software guide manuals and help documents for software and hardware failures.
It takes a lot of time to find information, which greatly reduces work efficiency.
Use SERVICEME to build an intelligent knowledge management platform, instantly index massive knowledge points, respond to inquiries immediately, say goodbye to tedious manual operations, and make knowledge within reach!
Multi-language dimension reply
Semantic sentiment analysis
Automatic file analysis
Quickly locate related documents
Work order summary is automatically initiated
Efficient knowledge management
Intelligent assistant robot
Reduce staff training costs
Process automation improves efficiency
Ready to try SERVICEME for a spin?