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Business Value








The femtech sector aims to use technology to support gender medicine. Artificial intelligence and IoT are the driving force behind advances in personalized medicine. There are various fields of study, from prevention and diagnostics, to the organization of the health system, from the greater centrality of the patient to the development of personalized medicine, up to digital medicine services.


Sestre offers nutraceutical treatments for female well-being, with a vertical focus on menstrual well-being and fertility. The company supports women in developing a greater awareness of their long-term health status, tracking and relating directly to the symptomatic part.


The decrease in the rate of abandonment of treatment paths, the optimization of diagnoses carried out by doctors and the reduction of the high costs incurred by women represent the starting insights

Initially, Sestre focused on collecting data from different platforms. However, as the volume of business increased, a dispersion and fragmentation of data emerged which made it difficult to have information available throughout the entire process of interactions with users.

Therefore, it required an advanced technological infrastructure for the correct collection, management and use of data that would allow it to increase the retention rate and offer a personalized and timely experience.


After an initial discovery phase we dealt with the design of the UX and UI, the architectural design and then moved on to the development of a centralized and standardized system for data collection, analysis and filtering. ​ 

The developed solution consists of:

  • a Backend As a Service, which collects data in a centralized database and exposes them in the form of REST APIs;

  • an Admin Dashboard, which allows administrator users to consult data from the desktop in an aggregated manner;

  • a User Dashboard, which acts as a personal diary for end users designed for mobile devices.


The integrated funnel generation platform thus developed allows the implementation of data-driven business intelligence models, improving the user experience and consultancy for users.


  • Greater scalability of the solution

  • Centralization of data in a unified database

  • Optimization of strategies

  • Reduction of data acquisition costs

  • Greater retention

  • Increased engagement


  • Front-end: React

  • Back-end: Appwrite

  • UX: Figma

  • Database: MariaDB

  • Headless framework: Refine

  • Containerization: Docker Compose

  • Production environment: AWS EC2

  • Hosting: AWS Amplify

Project details

Team: Project Manager, Team Leader, UX/UI Designer, Full Stack Developer x2
Methodology: Scrum
Duration: 7 months

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