
GetCure
Mobile and web AI tools for pharmacies to receive, manage, and process medication orders across delivery platforms and direct calls.
Description
GetCure is a platform that connects pharmacies with delivery services like Uber Eats and Wolt.
Patients can request over-the-counter medications and other products with minimal effort.
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Industry
Healthcare
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Type of project
SaaS
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Country
France/Germany
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Duration
Ongoing
Key Features
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Pharmacy Order Management
Receive, manage, and update orders in real time.
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AI Voice Ordering Assistant
Customers can place orders via phone call, and AI transcribes voice commands into structured orders.
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PZN Recognition Support
The AI engine recognizes product names and PZN codes.
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Pharmacy Schedule Information
Get up-to-date information about open hours, emergency hours, and holiday schedules via AI.
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Real-Time Order Updates
Orders received from delivery partners are reflected in the admin panel with status management options.
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Admin Dashboard
Manage inventory, orders, user access, and performance data.
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Multi-Provider Integration
Seamless compatibility with delivery services to maximize pharmacy reach.
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Multi-Region Rollout
App supports pharmacies in Germany, France, and Austria, with more countries in the pipeline.
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Customer Identification Support
AI assists pharmacists in identifying customers and improving service.
Core Technology
Our team prioritized a flexible architecture and reliable tech stack to maintain high development speed without compromising quality. The main application is built for Android using Kotlin, where pharmacists receive and manage incoming orders.
The admin panel, developed with Node.js and Angular, allows pharmacies to track orders, update statuses, and track key metrics.
AI transcribes voice orders from patients into structured requests, which are then processed through the main system. Backend operations, integrations with third-party services like Uber Eats and Wolt, and infrastructure deployments are supported by robust DevOps workflows.

First Steps
Our team worked closely with GetCure to map out user flows for pharmacists and patients. A strong focus was placed on understanding pharmacy workflows across different markets and integration requirements for delivery partners like Uber Eats and Wolt.
Once key workflows were confirmed, development began with an aligned roadmap and clearly defined responsibilities.
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1
Business Analytics
& Initial CommunicationSoftermii team analyzed the pharmacy ecosystem and delivery partner workflows to identify key touchpoints and data flows. This phase helped define the minimum viable product and prioritize AI features.
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2
Development
ProcessStarting in October 2022, development focused on delivering a scalable pharmacy-side Android app and a robust web admin panel. In mid-December 2024, the AI voice assistant feature was added to development and progressed rapidly toward pilot launch within just 3.5 months.
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3
The First
LaunchInitial releases targeted pharmacies in Germany and were later scaled to France and Austria. The AI feature entered development in December 2024 and is in its final testing stage before its production release.
Our Team Behind the Project
A cross-functional team delivered this project, including a Full-Stack Developer, Android Developer, QA Specialist, UX/UI Designer, DevOps Engineer, and AI/Full-Stack Developer.
The QA team ensured quality across rapidly evolving features. DevOps optimized deployments for multiple environments to meet tight deadlines and support phased releases across regions.
Considerable achievements
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AI-Driven Voice Ordering Integration
The voice-based AI assistant allows patients to place orders by phone using product names or PZN codes.
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Scalable Multi-Country Rollout
The backend was designed to support geographic scaling. Within a year of initial development, GetCure was expanded to pharmacies in Germany, France, and Austria.
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On-Time Delivery Despite Tight Scope
Tight delivery schedules and shifting requirements posed several challenges during the project. Our team maintained strict internal coordination and adapted workflows to meet expectations and deliver a stable and scalable product.

Flow
Initial briefing
Understanding pharmacy needs
Building a team
Hiring and onboarding
Design
Creating user-friendly interfaces
Development
Creating core and AI features
Testing
Ensuring quality and stability
Launch
First event
Growth
Expanding and improving
Tech Stack
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NestJS
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MongoDB
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Bull Queue
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AWS Lambda
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Twilio
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Stripe
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WebSockets
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Angular
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Kotlin
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Python
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