Innovative digital solutions for clients to expand the banking and financial service range.

TryPay S.A. delivers digital services in the fintech area. They include deferred payments in the e-commerce domain, mainly in the B2B model.

The company’s goal is to implement services based on data collected through open banking. Then, TryPay plans to digitally transform all traditional banking services and create a coherent fintech ecosystem.

We followed the Agile methodology. 8 Deviniti specialists were involved in the project’s first stage.

The experts working on the application included an IT Architect, a Front-end Developer, a Senior Full Stack Developer (2 people), a Regular Full Stack Developer, a Back-end Developer (3 people), and a Tester.

The development for MVP1 consisted in creating a schedule for given functionalities that were prepared iteratively.

The team took care of the key process development, namely integration with the banks’ API, and the back office. We spent a large part of the project preparing the integrations with banks. To meet the partners’ needs, we developed a very friendly API (with plug & play), showing scalability and performance.

We applied proprietary classifiers that use machine learning, NLP analysis, and client segmentation (clustering) to build the client profile.

Applying a machine learning approach allowed us to reduce project maintenance costs. Moreover, we eliminated the need for the continuous support of credit analysts. The first-stage difficulties consisted of the full integration with banks, the need to build AI and statistical models, and the integration with external data sources, including with the Ministry of Finance, CEIDG [the Central Register and Information on Economic Activity], or commercial credit bureaus. We met these challenges by gathering a professional and experienced team. In addition, we supported our work with a high level of automation, for example, in the area of tests and CI/CD.

In addition to the client profile, external partners receive scoring in the form of point or percentage values, or they are assigned a risk class.

Based on the scoring, the partner’s system decides about granting the deferred payment option to a given client or “launching” a financial product (e.g. credits or loans via the Internet). The system adapts the presentation of the results and the scoring method to the partner and their requirements.

We conducted several workshops with the client to identify their business needs in the best way possible.

The consultations helped our team define the UX persona and the project’s long-term goals. Moreover, we performed detailed product analyses such as Lean Canvas. Based on the workshops, the acquired data, and A/B tests, we selected the primary colors in line with the TryPay logo and created several product interface versions. After becoming familiar with the ideas, the client chose the one that suited them best.