Crowd-lending and renewable energy investments platform
About the project
- CompanyConfidential
- ServicesUI/UX Design
System architecture
Front-end Development
Back-end Development
Project Management
Quality Assurance
Requirements Engineering
Business Analysis
- IndustryRenewable energy
- Duration18+ months
- LocationGermany
- MethodologyDiscovery phase
Development phase: Agile/SCRUM - Applied technologiesReact.js,
Redux,
JavaScript,
Java,
Java Spring,
AWS
Details about the project
We developed a complete software solution consisting of an internal ERP system, a customized CRM solution, and a user-facing crowd-investing platform.
The software maps the entire business process from selling and setting up a project to financing the project through a crowd-investing portal, tracking the project performance and sending payments to the investors.
The app collects, processes, and compares the overall project data and visualizes it in different user-specific dashboards. In addition, the system provides automatic predictions, analytics and reporting.
Some of the needed integrations with other systems include: an external platform for crowdfunding, different payment services and meteo-control for data related to solar systems.
The software solution helped our partner to avoid working with various tools and systems when managing data and projects. They automated the manual work that was leading to inefficiencies. Currently, the risk of human error and additional effort and cost are significantly lower.
The software maps the entire business process from selling and setting up a project to financing the project through a crowd-investing portal, tracking the project performance and sending payments to the investors.
The app collects, processes, and compares the overall project data and visualizes it in different user-specific dashboards. In addition, the system provides automatic predictions, analytics and reporting.
Some of the needed integrations with other systems include: an external platform for crowdfunding, different payment services and meteo-control for data related to solar systems.
The software solution helped our partner to avoid working with various tools and systems when managing data and projects. They automated the manual work that was leading to inefficiencies. Currently, the risk of human error and additional effort and cost are significantly lower.