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AI-Driven

将制造后的复杂流程转化为效率提升、成本节省与价值链清晰

做出更明智的决策

AI-Driven


将制造后的复杂流程转化为效率提升、成本节省与价值链清晰


做出更明智的决策

DUGAA

释放产品制造后最大潜力

我们提供产品和组件解决方案,优化规格资料,提升全球维修效率、优化物料预测,实现跨团队、客户和供应商的制造后运营高效管理。

DUGAA专注于解决制造商的复杂挑战,释放制造后宝贵的产品和零部件资料。我们的创新解决方案能够提升生产力,促成全球无缝协作,并提供前所未有的数据洞察。

DUGAA Post-Manufacturing Solutions

Discover Hidden Insights and Drive Innovation

With our proprietary advanced system architecture, data modeling, big data, and machine learning capabilities, we unlock actionable insights across operations. This allows us to help manufacturers to:

Streamline the global repair workflow by enabling component-level, multi-dimensional data visibility to enhance traceability and foster better collaboration across global repair teams, B2B clients, and suppliers.

Overcome uncertainties in repair material planning by leveraging big data and machine learning to ensure the right parts are available at the right time. This supports higher service fulfillment rates, better visibility into high-risk inventory, reduced write-offs and waste, and stronger collaboration across global repair centers.

Centralize product technical data globally to drive sales growth, enhance collaboration between product and marketing teams, and enable sales teams to effectively communicate product value and offer the right solutions to B2B clients.

By moving beyond the constraints of traditional 2D data models, we reveal deeper, more actionable insights, integrating disparate data points into a unified system that boosts efficiency, empowers data-driven decision-making, and facilitates seamless collaboration between global teams, B2B clients, and suppliers. This approach provides businesses with unmatched clarity, enabling them to streamline operations, uncover new opportunities, and drive impactful changes while promoting sustainability and ethical manufacturing practices.

明天或15年后

准确知道

您需要哪些零件

不再猜测您的维修库存需求
从安全库存到生命周期结束,自信地规划维修零件

明天或15年后


准确知道

您需要哪些零件

不再猜测您的维修库存需求
从安全库存到生命周期结束,自信地规划维修零件



Your global product insights. Data-driven solutions for every challenge.

Global Repair Material Planning

XMRP® leverages our proprietary machine learning to address the uncertainties of after-sales material planning.

It predicts and forecasts repair material needs, allowing you to prepare safety stock effectively and allocate excess resources efficiently.

Helping you enhance supply chain visibility, reduce stock shortages, and prepare you to meet after-sales demands with accuracy and confidence.

Global RMA Repair Management

RMAONE® simplifies global RMA management, enabling seamless coordination with B2B clients worldwide.

By centralizing the RMA process, it increases efficiency, reduces response times, and enhances customer satisfaction.

You can easily manage returns across regions, improving operational agility and ensuring a consistent, high-quality experience for your B2B customers worldwide.

Global Product Data Management

DGX8™ is a data-driven solution that helps manufacturers manage the complexities of extensive product data globally, with multi-language support.

Effortlessly manage thousands of products, technical specifications, order information and downloads in one unified system.

Helping your internal team operate efficiently, your B2B customers find the products they need easily, driving sales and fostering growth.

更智能的维修。更快速的扩展

終結手動RMA混亂

获得零部件级追踪和实时维修洞察

不再使用电子表格,只有简化且可扩展的全球RMA维修

更智能的维修

更快速的扩展


終結手動RMA混亂


获得零部件级追踪和实时维修洞察

不再使用电子表格,只有简化且可扩展的全球RMA维修





Frequently Asked Questions

Is your solution replacing our ERP system?

No, our solution complements your existing ERP system. We help manufacturers enhance efficiency, improve data visibility, and enable seamless global collaboration, areas where traditional systems often face challenges.


I have million-dollar ERP, MES, and PLM systems already. Why should I use DUGAA's solutions?

Many enterprise systems focus solely on product manufacturing. Traditional ERP, MES, and PLM systems, whether commercial or custom-built, often originate from the PC era, making them difficult to use and challenging to integrate with modern technologies. Also, the challenge lies in the sheer size and complexity of the data involved. Manufacturing data is vast, often unstructured and dispersed across multiple systems.

DUGAA helps manufacturers manage the product-component data journey after the product is made. Critical post-manufacturing tasks, such as accurate product specifications, repair workflows, repair material planning, and lifecycle management, become essential. However, visibility into product and component data after manufacturing is often limited.

Depending on the solution, DUGAA supports manufacturers in enabling internal team collaboration across branch offices and repair centers, streamlining coordination with B2B clients worldwide and suppliers across the supply chain.


How do we bring the required product-component data into DUGAA’s system?

Depending on the solution, we offer batch CSV uploads and API integrations to help you seamlessly import the required data.

Unlike other systems that may lack data quality checks or focus only on basic parameters, DUGAA employs multi-dimensional data validation that goes beyond the basics. Our system performs cross-field data quality checks, ensuring that every record undergoes rigorous validation. Each entry is verified through hundreds of operations executed within nanoseconds to microseconds, allowing us to assess the quality of a single data row in mere milliseconds.

Typically, the basic required data represents only 10–20% of the full picture. What truly unlocks value is capturing the ongoing operational data behind the scenes. Our system provides robust workflows for admin users to input and manage daily operations directly within the platform. This continuous data capture connects all data points, transforming disconnected entries into rich, multi-dimensional relationships. By moving beyond static, two-dimensional spreadsheets, we enable dynamic, high-performance visibility into product and component data. This is something traditional systems simply cannot achieve.

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