Sustainable Product Lifecycle Intelligence Platform

Carbon Accounting • Cost Optimization • ESG • AI • CSRD / SEC Compliance

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📌 Project Summary

The Sustainable Product Lifecycle Intelligence Platform is an end-to-end system that demonstrates how data, analytics, and AI can be embedded into Product Lifecycle Management (PLM) to support sustainable design, ESG reporting, and regulatory compliance.

The platform integrates:

• Lifecycle carbon accounting (Scope 1–3)
• Cost vs sustainability trade-off analysis
• Supplier ESG scoring
• AI-based material recommendations
• Power BI executive dashboards
• CSRD (EU) and SEC (US) climate disclosure templates
• Explainable LLM-generated ESG narratives

This project reflects real-world enterprise sustainability systems used in manufacturing, energy, automotive, and technology sectors.

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🎯 Key Objectives

• Measure product-level lifecycle emissions
• Optimize designs for lower carbon impact
• Maintain financial feasibility of sustainability choices
• Enable Scope-3 visibility and supplier accountability
• Generate audit-ready ESG data and explanations
• Support CSRD and SEC climate disclosures

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🏗️ System Architecture

┌────────────────────────────┐
│   Product & Supplier Data  │
│   (JSON / Engineering)     │
└─────────────┬──────────────┘
│
┌─────────────▼──────────────┐
│ Python Analytics Engine    │
│ • Carbon Calculator       │
│ • Cost Engine             │
│ • Scope-3 Modeling        │
│ • AI Material Selection   │
└─────────────┬──────────────┘
│
┌─────────────▼──────────────┐
│ SQL PLM Backend            │
│ • Carbon Ledger            │
│ • Supplier ESG Data        │
│ • Audit & Traceability     │
└─────────────┬──────────────┘
│
┌─────────────▼──────────────┐
│ Power BI Dashboards        │
│ • ESG KPIs                │
│ • Carbon vs Cost           │
│ • Scope-3 Risk             │
└─────────────┬──────────────┘
│
┌─────────────▼──────────────┐
│ LLM ESG Explanations       │
│ • CSRD / SEC Aligned       │
└────────────────────────────┘

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📂 Repository Structure (Final)

├── src/
│   └── sustainable_plm_full_system.py
│
├── data/
│   └── product_lifecycle_data.json
│
├── database/
│   └── database_schema.sql
│
├── powerbi/
│   ├── dashboard_schema.md
│   ├── dax_measures.txt
│   └── dashboard_layout.png
│
├── llm/
│   ├── esg_prompt_templates.md
│   └── sample_esg_explanations.md
│
├── reports/
│   ├── csrd_esrs_e1_template.md
│   └── sec_climate_disclosure_template.md
│
└── README.md

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🧠 Core Components

1️⃣ Python Analytics Engine (src/)

File: sustainable_plm_full_system.py

Capabilities:

• Lifecycle carbon calculation
• Manufacturing energy emissions
• Cost modeling (materials + energy + logistics)
• Sustainable material substitution simulation
• Supplier ESG scoring
• Scope-3 emissions calculation
• Visualization for baseline vs optimized carbon

Execution:

python src/sustainable_plm_full_system.py

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2️⃣ Lifecycle Data (data/)

File: product_lifecycle_data.json

Includes:

• Material mass and emission factors
• Supplier attributes
• Manufacturing energy consumption
• Distribution and end-of-life emissions

Purpose:

• Acts as the single source of product truth
• Mimics real PLM engineering data

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3️⃣ SQL PLM Backend (database/)

File: database_schema.sql

Tables:

• products
• suppliers
• carbon_ledger
• scope3_emissions

Features:

• Audit-ready carbon ledger
• Scope-3 supplier traceability
• ESG data persistence

Compatible with:

• PostgreSQL
• MySQL
• SQL Server (minor syntax changes)

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4️⃣ Power BI ESG Dashboard (powerbi/)

Files:

• dashboard_schema.md – Star schema design
• dax_measures.txt – KPI calculations
• dashboard_layout.png – Page layout reference

KPIs:

• Total Carbon Footprint
• Scope-3 Contribution (%)
• Carbon Reduction (%)
• Cost Impact ($)
• Supplier ESG Risk
• Sustainability Rating

Audience:

• Engineering
• ESG teams
• Executives
• Auditors

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5️⃣ LLM-Generated ESG Explanations (llm/)

Files:

• esg_prompt_templates.md
• sample_esg_explanations.md

Purpose:

• Generate fact-based, non-promotional ESG narratives
• Support explainable AI (XAI)
• Reduce greenwashing and regulatory risk

Aligned with:

• CSRD (ESRS)
• SEC Climate Rule

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6️⃣ Regulatory Reporting Templates (reports/)

Files:

• csrd_esrs_e1_template.md
• sec_climate_disclosure_template.md

Coverage:

• Scope 1–3 emissions
• Transition plans
• Climate-related risks
• Metrics and targets

Standards:

• GHG Protocol
• CSRD / ESRS E1
• SEC Items 1500–1507

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📊 ESG KPIs Tracked

• Total Lifecycle Emissions (kg CO₂e)
• Scope-3 Share (%)
• Carbon Reduction vs Baseline
• Cost Change After Optimization
• Supplier ESG Score
• Sustainability Rating (Green / Yellow / Red)

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📜 Compliance & Methodology

• ISO 14040 / 14044 (LCA)
• GHG Protocol (Scopes 1–3)
• CSRD / ESRS
• SEC Climate Disclosure Rule
• Anti-greenwashing safeguards

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🚀 Use Cases

• Sustainable product design decisions
• PLM-integrated carbon intelligence
• ESG and climate reporting automation
• AI evaluation in sustainability & finance
• Academic research and industry case studies

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🔮 Future Enhancements

• RAG-based ESG chatbot
• ML-driven supplier risk forecasting
• Digital twin sustainability modeling
• Automated CSRD report generation
• IoT-based energy ingestion

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👤 Author

Harsh Sonkar Sustainability • Data Engineering • AI • PLM • ESG

Open to collaboration in:

• Sustainable product lifecycle initiatives
• ESG analytics and reporting
• AI-driven environmental solutions

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📄 License

This project is intended for educational, research, and professional portfolio use.

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