Learn how we helped a global automobile manufacturer uncover deeper insights into their global inventory operations
Our client is a global premium automobile manufacturer operating multiple production plants worldwide. With a production inventory valued at over €1 billion, the company oversees highly complex supply chains spanning from supplier pickup to material consumption on the factory floor.
The automotive manufacturer faced a significant challenge with their production inventory management. The lack of global inventory standards and data transparency had led to excessive stock levels, unnecessarily tying up working capital across their manufacturing network. With an increasing global production footprint resulting in longer transportation lead times, increased geopolitical complexity, and greater planning and demand fluctuations, inventory levels have continuously increased.
Historically, securing production had been prioritized over optimizing inventory levels. The manual collection and aggregation of global inventory data was excessively time-consuming, making it difficult to analyze and optimize inventory across all plants. Combined with the company's increased focus on cash flow optimization, there was a clear need for a data-driven solution to standardize inventory management across all facilities.
Data consolidation
We replicated supply chain data sourced from local plant operations into one global Snowflake data platform.
Business logic implementation
We translated the business rules from the process map into data transformation logic using dbt.
Data accessibility
The integrated data in Snowflake was made accessible through Power BI, enabling efficient and scalable insights.
We developed reusable data products that support continuous inventory prioritization and optimization, significantly enhancing cash management. These efforts enabled the automobile manufacturer to realize approximately €80 million in cash savings in 2024 alone, driven by inventory reduction and optimization initiatives.
To facilitate more informed decision-making, we introduced visualizations that provide clear insights into inventory levels and the underlying factors driving fluctuations. Local and central stakeholders now have access to standardized analytical models, tailored to their job role.
Moreover, this project fostered cross-functional collaboration, deepening the organization's understanding of the inventory’s business impact. This has led to increased operational efficiency and the standardization of key processes across teams.
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