Manufacturing - BI and Data Analytics

Client Background

The client is the largest wind turbine manufacturing company based in Germany. With a presence in over 80 countries, the company is a global leader in the renewable energy sector, providing a wide range of wind turbine solutions to customers around the world.

Client Challenges

Wind-turbine-manufacturing-challenges-mob
Client Challenge

Despite its dominant position in the industry, the company was facing several challenges in supply chain management, tracking order management, and vendor management. Some of the key challenges faced by the client include:

Inefficient Supply Chain Management: The company was facing issues in managing its supply chain, including procurement, inventory management, and logistics. This was resulting in delays in delivery and increased costs.

Order Management Issues: The company was facing difficulties in tracking and managing customer orders, resulting in delays and customer dissatisfaction.

Vendor Management Issues: The company was finding it challenging to manage its vendors effectively, resulting in quality issues and delays in delivery.

Lack of real-time insights: The company lacked real-time insights into its operations, making it difficult to identify bottlenecks and inefficiencies.

Client Challenge

Despite its dominant position in the industry, the company was facing several challenges in supply chain management, tracking order management, and vendor management. Some of the key challenges faced by the client include:

Inefficient Supply Chain Management: The company was facing issues in managing its supply chain, including procurement, inventory management, and logistics. This was resulting in delays in delivery and increased costs.

Order Management Issues: The company was facing difficulties in tracking and managing customer orders, resulting in delays and customer dissatisfaction.

Vendor Management Issues: The company was finding it challenging to manage its vendors effectively, resulting in quality issues and delays in delivery.

Lack of real-time insights: The company lacked real-time insights into its operations, making it difficult to identify bottlenecks and inefficiencies.

Solution

Solution

To address these challenges, the client partnered with xponential, which provided a comprehensive solution to streamline the company’s supply chain and operations. The solution involved the following steps:

Wind-turbine-manufacturing-solution
Solution

To address these challenges, the client partnered with xponential, which provided a comprehensive solution to streamline the company’s supply chain and operations. The solution involved the following steps:

Data Sourcing

xponential collated data from various sources, including the company's ERP systems, supplier portals, and logistics providers.

Data Ingestion

The data was ingested into xponential's cloud-based platform, which allowed for easy access and management of the data.

Data Storage

The data was stored in xponential's cloud-based platform for easy access and management of the data.

Self-service Reporting

xponential provided the client with self-service reporting, which enabled real-time insights into its operations.

AI-based Analytics

xponential's AI-based analytics provided the client with predictive and prescriptive insights to optimize its supply chain and operations.

Benefits

The solution provided by xponential helped the client achieve several benefits, including:

Improved Supply Chain Management: The solution streamlined the company’s supply chain management, resulting in reduced costs and improved efficiency.

Better Order Management: The solution enabled the company to track and manage customer orders effectively, resulting in improved customer satisfaction.

Improved Vendor Management: The solution enabled the company to manage its vendors more effectively, resulting in improved quality and reduced delivery times.

Real-time Insights: The self-service reporting provided by Xponential enabled the company to gain real-time insights into its operations, making it easier to identify and address bottlenecks and inefficiencies.

AI-based Analytics: The AI-based analytics provided by Xponential enabled the company to optimize its supply chain and operations, resulting in improved efficiency and reduced costs.

Conclusion

In conclusion, the largest wind turbine manufacturing company faced several challenges in supply chain management, tracking order management, and vendor management. Xponential provided the company with a comprehensive solution that involved data sourcing, ingestion, storage, self-service reporting, and AI-based analytics. The solution enabled the company to streamline its operations, reduce costs, and improve customer satisfaction, making it a valuable partner for the company’s continued success in the renewable energy sector.

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