Virtual Build to Order:
Having Cars in Stock That Customers Will Buy Tomorrow

With the help of One Data, a well-known automotive manufacturer has developed a Virtual Build to Order data product. It predicts vehicle configurations based on past demand. This allows dealers to pre-order the exact models they need, so customers do not have to wait for their vehicle order. This innovation is critical in an industry where luxury car buyers expect perfectly matched configurations for their ideal vehicle.

Estimated reading time: 2 minutes

Our customer in automotive manufacturing developed a data product to accurately predict model demand and configurations.


The automotive industry faces a major challenges in ensuring customer satisfaction. Car dealers must reliably predict which variants and configurations of vehicles they need to stock to meet customer demand.

The variety of configuration options and consumer preferences—based on region, culture, age, and individual taste—make this a daunting challenge. They had to analyze data from different production series and order types, several planning units, more than 140 markets, over 3000 feature options and 15 million planning elements.

Previously, this task had to be done by 14 people manually managing various spreadsheets on a daily basis, trying to understand what features will be needed in the future. Car dealers mostly base their decisions on what models to order on gut feeling. As a result, potential sales are lost if customers cannot be supplied with their desired car. Also, vehicles have long downtimes if they do not have the required equipment.


The customer first gained full visibility of their data landscape through the interactive data map to make best use of their data. Then, One Data automatically collected and connected meaningful data and metadata across the customer’s entire ecosystem, including external and 3rd party data, e.g., from end-customers, partners, and market data.

Out of that, a high-quality data product was created. This makes it possible to indicate customer preferences in advance based on, for example, a customer’s internet configuration data and historical sales data from dealers.

Data Products

The client uses the data product to predict customer preferences and future orders in different markets. It automatically analyzes various company and customer data, as well as Internet configurations and retailer sales histories while ensuring data quality and reliability. This automatically generates preconfigured orders. The Virtual Build to Order data product eliminates the need for manual forecasting and allows dealers to reliably pre-order vehicles based on historical sales data.


By automating their forecasting, our customer is saving 14 people a lot of time compared to previously manually analyzing spreadsheets. Now, they can shift their focus to more value-added tasks. In the future, the company can make use of a repeatable, reliable process that does not require constant oversight. In addition, the customer has significantly improves its data governance by using One Data to gain insight into, understand, and ensure the quality of data products.

With the data product, the market potential can be exploited much better. In addition, reduced inventory and optimized pre-configurations lead to increased sales. Planning accuracy has improved by 3%, and customer satisfaction has increased because vehicles are more readily available.

„The customer can now accurately predict future demand, significantly increasing sales and customer satisfaction.“

Dr. Stefan Roskos
Managing Director
One Data GmbH


Large automotive manufacturer


Automotive manufacturing

Data products

Virtual Build to Order


Enhanced sales and planning accuracy
Improved customer satisfaction
Time savings in forecasting process
Increased data quality and governance
Efficient implementation into existing systems
Successful international roll-out

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Frequently asked questions

One Data transforms businesses into data-led entities by providing a comprehensive Data Product Builder. It enables the ingestion of data from diverse systems and its exploration through an interactive map. This approach empowers business users to request and utilize data products effectively and foster a data-driven culture across the enterprise.

Absolutely. One Data bridges the gap between data experts and non-technical business users. Its intuitive interface and Data Product Marketplace allow users of all skill levels to create, manage, and share data products efficiently. This is thus democratizing data access and collaboration within the organization.

Key benefits include significant time savings in developing and managing data pipelines, and the ability to quickly deploy quality-assured data products at scale. The platform streamlines processes through repeatable workflows and fosters enhanced collaboration between business, data, and IT teams. This leads to continuous innovation, operational efficiency, and reduced data storage costs.

One Data integrates AI into every stage of data product development. This reduces manual work and ensures the quality and integrity of data products. One Data helps you guarantee that the data is reliable and aligns with business contexts, enhancing decision-making accuracy and strategic insights.

One Data provides comprehensive support for the entire data product lifecycle. It includes the initial ingestion of data, facilitating user requests for data products, as well as data product building and sharing. This ensures that data products are efficiently developed and aligned with business needs and ready for scalable deployment.

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