The rising AI star DeepSeek has made remarkable breakthroughs with its disruptive low inference costs and exceptional performance, quickly standing out on the international stage and becoming a hot topic of global discussion.

AI is empowering all industries, and next-generation industrial software is no exception. By fully leveraging cutting-edge technologies like cloud computing, AI, big data, and advanced networks, and adopting new approaches such as data-driven and model-driven methodologies, the competitive landscape and rules of industrial software have been fundamentally reshaped. The book "Industrial Software Cloud Strategy" details four types of AI-powered industrial software applications, showcasing the perfect integration of AI and industrial software. Xiwicloud has fully integrated with the domestically developed AI giant DeepSeek, actively promoting "AI+Industry" to empower high-quality development in manufacturing.

Xiwicloud's AI assistant Xiao Q, powered by DeepSeek's large model technology through deep learning, has already been implemented in dozens of scenarios.

Enhancing Three Core Values of APQP:

1. Precise Data Penetration: Real-time analysis of structured data such as components, project tasks, and risk issues. Engineers can trace design basis through natural language Q&A, significantly improving efficiency at all APQP stages.

2. Efficient Knowledge Reuse: An intelligent knowledge base built from corporate technical documents that automatically associates technical solutions with standards.

3. Closed-loop Quality Prevention: Dynamic risk warning models combined with Xiwicloud's DOE analysis capabilities facilitate issue resolution during verification, substantially reducing physical trial-and-error costs.

This application comprehensively improves APQP core metrics, doubling engineering change response speed.

Three Intelligent Engines for Managing Exception Processes:

1. Structured Problem Analysis: Based on customer complaint tickets, AI automatically extracts 12 key fields including technical parameters and product information. Through RAG model fine-tuning, it associates historical experience data to generate comparative reports with similar defect cases within seconds, significantly reducing time spent on D2 (Problem Description).

2. Automated Root Cause Reasoning: Leveraging DeepSeek's powerful contextual semantic understanding to automatically access 18 data sources including design BOMs, process parameters, and inspection data, dramatically improving D4 (Root Cause Analysis) accuracy.

3. Intelligent Measure Library Matching: Utilizing high-quality corpora and DeepSeek's reasoning capabilities to automatically recommend TOP3 verification solutions during D5 (Corrective Actions), compressing 8D report preparation cycles and reducing recurrence rates of repetitive issues, achieving full AI-driven closed-loop from customer complaints to preventive measures.

Intelligent Q&A Assistant for Document Management:

Xiwicloud's Xiao Q assistant, equipped with DeepSeek's large model, redefines enterprise document management:

1. Second-level Accurate Retrieval: DeepSeek analyzes various technical documents (drawings/process cards/change orders) to establish automated multi-dimensional tagging systems.

2. Dynamic Knowledge Graph: Automatically associates ECN change records with controlled document versions, providing real-time update notifications during BOM changes, reducing document version errors.

3. Intelligent Q&A Management: Using DeepSeek's natural language understanding to instantly retrieve document library information, Xiao Q provides intelligent responses and relevant content links for fast document retrieval.

Intelligent After-sales Fault Analysis:

Deep integration of DeepSeek with thousands of IPTV (Incidents Per Thousand Vehicles) data and after-sales management processes builds a predictive-diagnostic-preventive intelligent closed-loop:

1. Dynamic IPTV Dashboard: Real-time monitoring of IPTV fluctuations across product lines.

2. Efficient Data Analysis: Combined with Xiwicloud's powerful quality data analysis capabilities, DeepSeek quickly generates various failure analysis charts with 95% confidence.

3. Preventive Maintenance Hub: Automatically employs dozens of data analysis and regression models (PLS, NLR, LSTM, SVM) to identify high-frequency failure components in advance.

4. Quality Improvement Flywheel: Automatically analyzes predictive cases from experience databases to generate design optimization knowledge packages, reducing IPTV for new-generation products.

Moving forward, Xiwicloud will continue integrating AI with industrial software, following the trend of AI technology towards concrete applications. Through close collaboration, technological integration, and mutual empowerment with industry peers, Xiwicloud aims to help enterprises stay ahead in the digital wave and support China's manufacturing industry on its path to high-quality development.