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Next Level Banking with GPT

Sparkasse Bremen, a leading bank in Germany, and its affiliates Smavesto (Roboadvisor) and Flexi (Proptech) are seeking your solutions to enhance their services using cutting-edge technologies like GPT. Can you design innovative solutions to improve customer service and enhance marketing efforts for exciting financial services?

#GPT4Technology #FinanceIntelligence #RealEstateLeasing #Roboadvisor

  • ✅ Completed
  • 🏁 Winner

    Congratulations to PPI AI Wizard!

  • 🏆 Prize

    EUR 5,000 prize pool + collaboration after the challenge

  • 🌎 Scope

    🇩🇪 As Sparkasse Bremen customers are mainly German speaking your solution must be tailored to German language

  • ❓ Q&A Call

    Click here to register

  • 🪙 Future Finance

    This challenge is part of the Future Finance Innovation Program

In this tab, you can find all the relevant information for your submission. The following contents must be submitted for participation

How to submit

  1. Submission template (mandatory)
    A standard template is available. The template will help you structure your solutions and approaches and provide answers to all relevant questions and frameworks. Download the Submission Template here
  2. optional but desirable content
    You can also supplement your submission with prototypes, image and video materials, or other concepts or visual elements - simply submit these files additionally via our platform.

Criteria & guidelines

Always keep in mind that the DSGVO must be observed when working with data-intensive solutions.

Also make sure to observe that in sensitive areas such as financial services, regulations/ compliance take effect as soon as it comes to actual consultation and selling of products.

Desired Outcome

At the end of the challenge: Functional MVP

First Deadline: At least and well-thought concept + the needed technical skills to build an MVP together with Sparkasse Bremen/ Smarvesto/ Flexi

OpenAI API

The OpenAI API provides the capability to perform various natural language or code-related tasks. A range of models with varying power levels is available, catering to specific tasks. Additionally, users can personalize their own models using the fine-tuning feature.

You can find all relevant information via the following link: https://platform.openai.com/docs/