GenAI solution with AWS for Deutsche Bahn tender
SPITZKE - AI-powered bid optimisation
Starting point
- High processing effort for tender documents: Reviewing extensive documents, including contracts and specifications, previously took several days.
- Complexity in creating Executive Summaries: Compiling reliable decision-making documents required significant time and personnel effort.
- Decision relevance: Executive Summaries serve as the basis for deciding whether to participate in tenders.
- Lack of GenAI integration: Our client was looking for an entry into GenAI solutions to increase efficiency in the long term
Approach
- Requirements analysis: Identification of project requirements.
- Concept and architecture: Technical and functional development of architecture and software components.
- Building the architecture and embedding AI models and prompt engineering.
- Front-end development: Creation of a user-friendly interface for tender management.
Features/Project outcome
- MVP of a GenAI app: Automated summarization and management of tender documents with a scalable application.
- Increased acceptance: Reliable GenAI app to promote the use of AI solutions within the company.
- Foundation for future GenAI deployments: The app serves as a model for further implementations.
- Awareness: Awareness of the benefits of a data platform and AI integration within the company has been created.

Customer benefits
- Significant time savings: Reduction of the review and creation effort from several days to just a few minutes.
- Faster decisions: Accelerated participation decisions thanks to efficient and clear Executive Summaries.
- Unleashed AI potential: Increased internal enthusiasm for AI through the reliable and intuitive GenAI app.
- Flexibility for the future: The new, dynamic GenAI app allows for easy extensions for future AI applications.

Lars Ritter | Senior Manager