Use AI to arm enterprises to the teeth
1. Accurate decision support
Emphasis on business opportunities - agile management
2. Standard process automation
Routine, repetitive office tasks
Assembly, testing, packaging, etc. on the production line
Focus on efficiency - reduce costs and increase efficiency
3. Intelligent customer service digital person
24 hours uninterrupted service
Emotional value is always online
Anticipate and understand customer needs
Improve overall customer satisfaction
Establish internal knowledge base of the enterprise
Focus on experience - deep binding
4. Marketing and Sales Support
AI analyzes customer data to achieve precision marketing
Personalized recommendation system to improve user experience
Market segmentation based on customer behavior and preferences
Pay attention to demand - make bigger profits
5. Behavior and safety monitoring
Employee action and behavior monitoring
Employee expression and language monitoring
Employee safety monitoring
Monitor corporate networks and prevent cyber attacks
Emphasis on behavior - process assessment
6. Human resources management
Assist in screening resumes
Improve recruitment efficiency
Predict employee attrition
Performance evaluation support
Data analysis, material evaluation
Emphasis on personnel - taking precautions before they happen
7. Corporate Finance Integration
financial statement analysis
Automate financial processes such as invoices and reimbursements
Data-heavy - built to last
8. Corporate R&D and Innovation
drug research and development
Accelerate experimentation and simulation processes
New material development
Simulations such as digital twins
Emphasis on practice - rapid iteration
9. Integrated supply chain management
AI data demand analysis, optimized inventory management, etc.
Construction of intelligent logistics, optimization of transportation routes, etc.
Reduce costs - improve competitiveness
10. Quality control and improvement
Product quality inspection
Image recognition technology
Predict equipment failure
Reduce downtime and other maintenance time
Emphasis on management and control - quality assurance
Data integration
Data will become the most important production factor in the future