Finance

POSSIBLE CHALLENGES

  • Automatic evaluation of credit takers
  • Optimal pricing of services
  • Customer data management, GDPR
  • Database correction and unification
  • Insurance analytics

RELEVANT WEOPTIT CAPABILITIES

  • Smart deep learning methods
  • Knowledge of stochasticity and game theory
  • Optimal pricing algorithm
  • GDPR functionalities
  • Resource optimization

OUTCOMES

  • Optimal service network planning & resourcing
  • Optimal pricing of all services
  • Optimal service portfolio
  • Optimal fixing and correction of customer data
  • Optimal investment suggestions
  • Smart payment

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Investment analytics

PROBLEM & CHALLENGE

  • Combination of publicly available information, multiple company data, map & infradata and optimization one can calculate e.g. the best business locations
  • For example, by combining demographic data, company data and infradata one can identify needs for various businesses and the best potential locations to serve these needs

WEOPTIT CAPABILITIES

  • Existing databases
  • Existing optimization model
  • Existing UI
  • High-level expertise

 

OUTCOMES

  • Accurate identification of best business locations for given business or best businesses in given location
  • Identification of best facility location given e.g. resources & infrastructure

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