Initial Situation

The Business Goal was to develop a data-driven business model. By means of an intelligent comparison platform, customer-specific product/service offers were to be played out. The business idea was described and a business case was created. Now the cross-functional team had to test this idea in the market with an MVP.

 

GP+S Services

  • Analysis of the data management requirements based on the product definition and support in product development
  • Support of market research regarding data related partner management
  • Creation of a data model for the MVP
  • Identification of relevant data sources and interfaces
  • Formulating the requirements for the platform and data architecture
  • Training of the machine learning algorithms with training, validation and test data
  • Regular quality control in the development process and establishment of processes for long-term quality assurance
  • Design and integration of an intelligent virtual assistant
  • Roadmap planning, modeling the requirements for multiple future revenue models

 

Results

  • Rapid and focused development of an MVP that could be tested with customers
  • Focused integration of UX optimized communication solutions such as a BOT, “dialog engine” (system for creating intelligent BOT dialogs)
  • Development of a “recommender system”: algorithmic determination of product recommendations to strengthen the success factor “competence”.