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Orpheus methods of Artificial Intelligence and BigData analytics for your strategic procurement

Orpheus methods of Artificial Intelligence and BigData analytics for your strategic procurement

The variety of different source systems (ERP systems, electronic catalogues, eProcurement, Contract management, SRM systems, etc.) used in procurement lead to enormous amounts of data. Many companies do not use that data sufficiently or not at all. Even currently, there are efficient methods of Artificial Intelligence that could support strategic purchasers in solving problems intelligently, in suggesting initiatives, in detecting potentials or in automation routine tasks...


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...Error-free, classified and clustered procurement data build the basis for successful sourcing strategies. Without valid spend baselines and benchmark information, a solid database is missing in order to set up and derive intelligent procurement- and product group strategies as well as an opportunity to measure their success later on.

To sum up: Semantic data management allows for the necessary comparability of procurement data and for a transparent and valid database for product groups and purchasing strategies. It is essentially about preparing procurement data by applying AI-methods in order to make them usable for intelligent analyses and initiatives. We at Orpheus refer to this topic as “Semantic data management”...