Real-Time Carbon Footprint Analytics Platform for Positive Carbon
WeSoftYou built a robust analytics platform for Positive Carbon, helping companies measure and reduce CO₂ emissions through automated data collection, visualization, and actionable insights.
Industry
Environmental Services, Sustainability & GreenTech, Data Analytics
Project duration
Ongoing (2023 – Present)
Country state
Ireland (Global Client Base)
Team
8
Technology
🏃
Positive Carbon is an environmental startup focused on helping companies monitor and reduce their carbon footprint. As the demand for precise, real-time CO₂ data grew, Positive Carbon needed a flexible yet powerful platform to integrate with various sources—ERP systems, IoT sensors, and third-party APIs—to calculate and visualize emissions data.
Key Objectives
- Deliver accurate carbon emissions metrics in real time.
- Integrate seamlessly with clients’ existing data infrastructure (IoT devices, ERP, CRM).
- Provide meaningful dashboards and automated reporting to multiple stakeholders.
WeSoftYou designed a modern, scalable platform that can handle complex datasets from diverse sources. The solution processes large volumes of real-time data, applies advanced algorithms for CO₂ calculations, and presents the insights through interactive dashboards, helping businesses track their sustainability progress and meet environmental compliance standards.
Results ✨
Enhanced Accuracy
Achieved a measurement accuracy of ±3% by automating real-time data ingestion and standardizing carbon emissions calculations.
Accelerated Decision-Making
Stakeholders can now review live emissions data and quickly adjust sustainability initiatives, leading to more dynamic and proactive strategies.
Scalable Architecture
Designed on a microservices-based model, the platform easily scales to accommodate new clients, more data sources, and increasing data volume.
Improved Reporting & Transparency
Automated, visually rich reports foster greater trust among investors, auditors, and partners—bolstering environmental accountability.
Project goals ⚡️
Implement a real-time analytics pipeline to capture and calculate emissions data.
Integrate seamlessly with existing enterprise systems (ERP, IoT sensors, etc.).
Enable clear, easy-to-share dashboards and reports for diverse user roles.
Ensure the solution adheres to international environmental standards and regulations.
Challenges ⛰
01.
Complex Integrations: Each client had unique data sources (IoT devices, ERP, manual logs).
02.
Data Validation: Ensuring high accuracy across multiple data streams and formats.
03.
Global Regulations: Different regions required different compliance and reporting formats.
04.
Performance at Scale: Processing large volumes of data in near real-time without downtime.
The process 🚧
To deliver a scalable and reliable solution for Positive Carbon, we followed a structured development process supported by a modern tech stack. Each stage — from initial discovery to deployment and support — was designed to ensure seamless data handling, regulatory compliance, and high system performance.
Stages 🎢
01.
Discovery & Requirements Gathering : Analyzed Positive Carbon’s existing workflows and pain points. Identified key integrations (AWS IoT, third-party climate APIs, etc.). Defined scope based on regulatory needs (ISO 14064, GHG Protocol).
02.
Architectural Planning Chose Node.js and Python for data processing and pipeline orchestration. Structured a multi-database approach (PostgreSQL for core data, TimescaleDB for time-series data): Established microservices and containerized deployments using Docker and Kubernetes.
03.
Core Platform Development Built an ingestion service to standardize data from IoT devices and APIs. Implemented real-time dashboards using React.js and D3.js for interactive visualization: Added advanced filtering and analytics tools to dissect carbon emissions by location, process, or time.
04.
Testing & Validation Employed automated unit tests, integration tests, and QA cycles to validate data accuracy: Stress-tested the system’s ability to handle spikes in data volume from connected sensors.
05.
Deployment & Ongoing Support Deployed on AWS for global accessibility and automatic scaling. Provided continuous monitoring, real-time alerts, and periodic performance tuning: Supported additional feature requests, including new compliance reports and custom analytics modules.
Team composition 👨💻
1 Project Manager
2 Front-end Developers
3 Back-end Developers
1 QA Engineer
1 DevOps Engineer
Technology stack ⚙️
Back-end: Node.js, Python, PostgreSQL, TimescaleDB, Docker, Kubernetes, AWS (EC2, S3).
Front-end: React.js, D3.js
Core features 💻
Carbon Emissions Dashboard
- Interactive charts and real-time metrics to monitor CO₂ output.
- Drill-down functionality to identify high-emission sources.
Automated Reporting
- Scheduled generation of compliance reports (GHG Protocol, custom standards).
- One-click export features for stakeholders and auditors.
Multi-Source Data Integration
- Connects to IoT sensors, production systems, and ERP solutions via REST and streaming APIs.
- Normalizes data for unified tracking and analytics.
Alerts & Notifications
- Threshold-based alerts for sudden spikes in emissions.
- Automated email/SMS notifications for compliance deadlines.
Role-Based Access Control
- Secured logins for admins, partners, and auditors with tiered permissions.
- Ensures sensitive data is accessed only by authorized personnel.
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