Normalized claim
Time: 80% decrease
Programming and machining time for some components reduced by up to 80%
Last evidence check: Jun 1, 2026
BWT Alpine F1 Team, an automotive racing organization, needed to improve supply chain and part manufacturing processes to keep up with the rapid pace of Formula One racing. The team relied on manual data entry, Excel, and emails, leading to process inefficiency, fragmented workflows, and inconsistent data interpretation. To address these challenges, the team deployed Microsoft Azure, Power BI, Dynamics 365, and Power Apps to unify data sources and automate analytics. These tools enabled automated data capture, unified dashboards, and real-time tracking, dramatically improving part delivery and production efficiency. The team now uses Dynamics 365 for central data capture, Power BI for real-time manufacturing insight, and Azure for consolidated decision support. These analytics enable proactive identification and removal of supply bottlenecks, supporting timely race-critical part delivery. Programming time for composites manufacturing was reduced by as much as 80% on certain parts, enabling on-time delivery and a culture shift toward data-driven decision-making at all levels of the team.
Reported outcomes
−80%
timeTime & speed
Strategic outcomes
Normalized claim
Time: 80% decrease
Programming and machining time for some components reduced by up to 80%
Last evidence check: Jun 1, 2026
To address these challenges, the team deployed Microsoft Azure, Power BI, Dynamics 365, and Power Apps to unify data sources and automate analytics
Primary read
Showing 3 of 3
Microsoft Azure is used to consolidate all data into a single analytics environment; Dynamics 365 automates and centralizes data capture on supply chain/manufacturing; Power BI surfaces this unified data as real-time dashboards for actionable insights on part production and delivery, while automated CAM programming scripts accelerate machining of components.
The cited source is no longer reachable and the organization has no newer case. Not a claim the system was discontinued.
Measures whether this deployment's public evidence persists — not whether the system is still in production.
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