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Industrial maintenance environments consist of complex assets and involve many different stakeholders such as maintenance teams, procurement departments, suppliers, IT departments,… The search for spare parts includes navigating lists, documents, spare parts databases, and dealing with extensive amounts of paper. Spare part data is often outdated, heterogeneous, and weak. As a result, spare part warehouses are unstructured, leading to increased storage costs. On top of that, maintenance organizations frequently struggle with an aging maintenance staff and the lack of skilled new personnel.
Download this white paper to learn more about how to tackle these challenges with AI part search and AI data optimization.
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