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