ROVEMA REFERENCE
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Project and Business Model Content
- Conducting a workshop-based status quo analysis of relevant processes, data, and source systems in close cooperation with the departments
- Developing user requirements and deriving a technical solution concept (from AI-based data analysis in source systems to the architecture of the cloud-native web application, including UI/UX)
- Development and operation of the AI-powered pilot application for spare parts search with multiple test iterations and defined validation criteria
- Developing a business case to quantitatively demonstrate added value and user guidance for pilot users
Customer Benefits
- Significant reduction in search/processing time for spare part inquiries by up to 70%, saving several hours per day.
- User-friendly search mask that enables quick and easy searching for thousands of spare parts across multiple systems in just one query
- Provision of information from unstructured data sources (e.g., Word and Excel files) using state-of-the-art AI solutions
- Entry into data-driven knowledge management by creating a homogeneous data foundation that can also be used for further functions in spare parts management and other application areas
