Siemens has completed a two-year transformation of its global procurement operations, deploying AI across supplier management, contract analysis, and demand forecasting for its $30 billion annual spend.
The initiative, powered by a combination of custom ML models and commercial AI tools from Jaggaer and Ivalua, has resulted in measurable improvements: 22% reduction in procurement cycle times, 8% cost savings on indirect spend, and 40% faster contract review through automated clause extraction.
Key to success was the phased approach — starting with indirect categories before expanding to direct materials procurement.
enterpriseSiemensAI transformationcase study