Manufacturing & Industrial

RPA Creates a New Paradigm for Manufacturing Office Work, Injecting New Momentum into "Digital Vehicle Manufacturing

Minth Group scaled Automa RPA across finance, HR, and production, automating order management, reporting, and data services. 30+ digital workers run 4,000+ scenarios for 10,000+ hours, saving 10,000+ man-days and accelerating digital transformation.

4,000+Business Scenarios Covered
10,000+Cumulative Runtime
30+Digital Workers Added
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"From the group to the factory, over 300 employees have completed training and certification. Automa RPA is not just an office software—it is revolutionizing traditional office practices."

Kaelan Reeves·RPA Project Manager at Minth

About Minth

Founded in 1992, Minth Group specializes in the design, manufacturing, and sales of passenger vehicle trim strips, body structural parts, and automotive decorative components, exporting to global markets including Europe and the Asia-Pacific region. With production plants and R&D centers across Asia, Europe, and North America, Minth operates over 50 manufacturing facilities and 4 R&D centers in the US, Japan, Thailand, Germany, Mexico, Serbia, and the UK, employing more than 18,000 people worldwide.

Minth Group introduced Automa RPA as a super platform for business process automation. By deploying Automa RPA, Minth has achieved closed-loop order automation, automated reporting, data structuring, and automated data services, breaking down system islands and reducing management blind spots caused by process interruptions. Efficient business processes have effectively reduced organizational friction, improved productivity, enhanced employee satisfaction, and increased talent density.

Automa Practice

💡Developed over 2,700 applications, with a total runtime of 10,000+ hours, saving the equivalent of 10,000+ person-days.

Covered Teams:

Finance, Human Resources, Production Control, Operations

Covered Scenarios:

  1. System exception dashboards, SAP inspections, customer system order management, PLEX system order updates

  2. Daily rubber block scrap bulletins, daily injection molding changeover statistics, hourly production reports, shipment data bulletins

  3. Related transaction route closures, shipment amount bulletins, sluggish inventory bulletins, daily process defect reports

Achieved Results:

  1. Improved work efficiency: The promotion and deployment of Automa RPA have provided employees with efficient office solutions, significantly enhancing the efficiency of various functional departments.

  2. Revolutionized traditional office work: Through Automa RPA training and practical application, employees have gained new office work paradigms, actively exploring and discussing office reform.

  3. Enhanced digital transformation: RPA technology has enabled more efficient and smooth interaction and collaboration between various group systems, improving efficiency in finance, HR, production management, operations, and other scenarios.

Automa Deliverables

Challenge 1

Multiple systems, low collaboration: Complex and lengthy processes require extensive manual operations, demanding high collaboration efficiency between upstream and downstream systems.

Solution 1

RPA technology integrates directly with existing systems without modification, complementing system functionalities and reducing cost investment.

System exception dashboardsSAP inspections
Challenge 2

High security risks, manual errors hard to avoid: The industry demands high information security, and manual operations are prone to mistakes, irregularities, and inaccuracies, increasing correction costs.

Solution 2

RPA automates data collection, reducing errors during manual input and data import, improving efficiency and data accuracy.

Daily injection molding changeover statisticsDaily copper, aluminum, and nickel price acquisition
Challenge 3

Data islands, difficult to support business decisions: Data is scattered across multiple systems such as marketing, distribution, production, procurement, and finance, making it difficult to efficiently support management decision-making.

Solution 3

Integrate data sources, unify data formats, and enable daily updates of key data analytics to improve timeliness and accuracy.

Daily rubber block scrap bulletinsShipment data bulletins

4,000+ business scenarios covered

10,000+ hours of cumulative operation

30+ digital workforce added

通过 AI 驱动的自动化,释放企业增长潜力

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