Digital quality management solutions
for smart vehicles and new energy industries

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Pain points Value Product Case

Industry Pain Points

With the rapid development of the industry, the competition is fierce. At present, the widespread extensive quality management has huge risks, which not only affect customer satisfaction, but also closely related to the safety of people's lives. Once a qu

  • Quality is related to people's life safety,
    and government supervision is becoming stricter

  • Customers have strict requirements for quality

  • Quality accidents
    seriously affect brand image

  • Data silos are serious,
    quality problems are difficult to trace, and the closed loop is difficult to trace

  • Knowledge Fragmentation Hinders Experience Accumulation, Leading to Recurring Quality Issues

  • Reactive Quality Management Leads to Frequent Quality Incidents

  • Supply Chain Quality Data Integrity Cannot Be Guaranteed

  • Inefficient and Inflexible Supply Chain Undermines Competitiveness

  • The risk of the chain owner is uncontrollable

Program Value

Data-Driven Quality Management

The data-driven full life cycle quality management solution covers the whole quality scenario of research, production, supply, marketing and service, comprehensively analyzes quality data, and precipitates the formation of a quality experience database. Provide data support for decision-making through quality data, reduce costs, increase efficiency, and improve quality, while realizing the digitization of the whole process of quality, and providing high-quality data support for intelligence.

Earn Customer Trust and Recognition

The data-driven full life cycle quality management solution covers the whole quality scenario of research, production, supply, marketing and service, comprehensively analyzes quality data, and precipitates the formation of a quality experience database. Provide data support for decision-making through quality data, reduce costs, increase efficiency, and improve quality, while realizing the digitization of the whole process of quality, and providing high-quality data support for intelligence.


Win orders and make profits

Full life cycle quality management allows downstream customers to have a "sense of security" in quality, and makes "high quality" the core competitiveness of enterprises through data-based quality management, getting rid of low-price involution, and helping enterprises obtain more high-value order shares. At the same time, by reducing quality loss, it helps enterprises improve profit margins.


Provides real-time statistical analysis

The self-developed full-life cycle quality management platform statistical analysis platform changes the lagging and formal analysis status quo in traditional quality management methods, can carry out real-time and efficient data statistical analysis, accurately locate the root cause of quality problems and predict and warn in advance, and supports the continuous improvement of quality.


Industrial chain-level quality management

Implementing data-driven management of suppliers to achieve deep and efficient collaborative operations, while agile collaboration with customers, significantly improving the reliability, agility, and market response speed of the entire supply chain, and winning stronger competitiveness and bargaining power for enterprises.

Help enterprises with global business layout

The collectivized and global product structure supports multiple languages, helps enterprises expand their global business territory, realizes efficient collaborative management on a global scale, and provides solid digital support for enterprises to accelerate their overseas layout and enhance their global competitiveness.


Related Product Recommendations

Total Quality Management

End to end full industry chain, modular quality management

Xiwicloud DAS

Advanced data analysis, statistical modeling, and experimental design tools

Real-time SPC

Real-time quality data automatic collection and analysis

LIMS

Digitalization of the entire laboratory process supports quality traceability throughout the entire lifecycle, avoiding data silos.

Drawing Analysis - CDI

Zero waiting and manual conversion for data transmission from design to manufacturing drawings

Failure Mode Analysis FMEA

FMEA analysis standardization and process standardization.

Typical Customer Cases

A large battery company's full life cycle quality project

  • Business Challenges
  • Solutions

High Return Rates and Customer Complaints Drive Significant Quality Losses.

Recurring Quality Issues Due to Ineffective Complaint Root Cause Analysis.

Fragmented Quality Data Across PLM/MES/ERP Systems Creates Critical Information Silos.

Reactive "Firefighting" Consumes Quality Teams' Capacity, Preventing Proactive Prevention.

Unverified Supplier Quality Capabilities and Non-Transparent Data Compromise Reliability.

The Total Quality Management Platform Solution addresses the challenges and pain points of traditional quality management approaches, enabling fully digitalized end-to-end process management.

The solution transforms quality management from reactive "firefighting" to proactive prevention, moving quality assurance upstream to minimize quality risks and associated costs.

The solution enables comprehensive quality traceability and supply chain quality management, establishing the foundational infrastructure to meet battery passport and carbon neutrality requirements.

The solution shifts quality inspection upstream to suppliers, ensuring visibility and control over supplier quality through process monitoring and intelligent sampling methods.

Shift quality management from a "firefighting" mode to a prevention-focused approach, advance quality control, and minimize both quality risks and associated costs.

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