# Carbonfact Sustainability Platform for Apparel & Footwear

## About

Software tailored to apparel, textile, fashion, leather, footwear and luxury. Measure, Report and Reduce their footprint, with a team of data experts.

- Verified: Yes

## Services

### Sustainability & Environmental Impact
- [Environmental Impact Assessment](https://bilarna.com/software/sustainability-and-environmental-impact/environmental-impact-assessment)

### Product Lifecycle & Carbon Management
- [Product Lifecycle and Carbon Tracking](https://bilarna.com/software/product-lifecycle-and-carbon-management/product-lifecycle-and-carbon-tracking)

## Pricing

- Model: custom

## Frequently Asked Questions

**Q: How does Carbonfact help apparel and footwear companies measure and reduce their carbon footprint?**
A: Carbonfact provides a specialized sustainability platform tailored for the apparel, footwear, textile, and fashion industries. It helps companies measure their carbon footprint by ingesting and cleaning data from various sources like PLM, ERP, and spreadsheets. The platform fills data gaps using AI algorithms trained on extensive primary data, enabling accurate life cycle assessments (LCAs) at the product level. It offers transparent, audit-ready carbon accounting and reporting compliant with industry standards. Additionally, Carbonfact supports scenario modeling for decarbonization strategies, helping companies identify emission hotspots and prioritize supplier data collection to reduce emissions effectively.

**Q: What types of data sources does Carbonfact integrate to provide accurate sustainability reporting?**
A: Carbonfact integrates data from multiple sources commonly used in the apparel and footwear industries, including Product Lifecycle Management (PLM) systems, Enterprise Resource Planning (ERP) software, and Excel spreadsheets. The platform consolidates and cleans this data, automating data ingestion through custom connectors and live data connections. It uses AI-assisted data mapping to detect errors and fill data gaps by leveraging a large library of primary data from factories and emission factors. This comprehensive data integration ensures accurate, transparent, and audit-ready sustainability reporting tailored to complex products with multiple components and variations.

**Q: What features does Carbonfact offer to support decarbonization strategies in the fashion industry?**
A: Carbonfact offers several features to support decarbonization strategies tailored for the fashion, apparel, and footwear industries. It enables companies to model product- and company-wide reduction scenarios using real data, allowing them to simulate 'what-if' scenarios such as swapping materials, changing processes, or integrating renewable energy. The platform identifies emission hotspots and helps build transition plans aligned with science-based targets (SBTi). Additionally, Carbonfact provides expert support alongside its software to guide sustainability teams in designing and executing credible reduction strategies. These features empower companies to make informed decisions and track progress toward their emission reduction goals.

**Q: What types of reports can Carbonfact generate to support sustainability compliance?**
A: Carbonfact can automatically generate a wide range of audit-ready sustainability reports tailored to the apparel and footwear industries. These include reports compliant with Digital Product Passports (DPP), Corporate Sustainability Reporting Directive (CSRD), Carbon Disclosure Project (CDP), Textile Exchange, and others. The platform offers over 20 exportable report templates, such as BCI, TE, BCorp, and SB 253, which are pre-populated with corporate and product data. This automation saves companies weeks of manual work and ensures transparency and compliance with evolving sustainability regulations and standards.

**Q: How does Carbonfact manage and improve the quality of environmental data for complex apparel supply chains?**
A: Carbonfact manages environmental data by automating the ingestion, cleaning, and consolidation of information from multiple sources such as PLM, ERP, and Excel. It uses AI algorithms trained on extensive primary data sets to detect errors, anomalies, and fill data gaps automatically. The platform prioritizes collecting primary data from suppliers and factories, enabling more accurate and granular carbon accounting. It also provides actionable insights by identifying emission hotspots and recommending specific data points to gather from suppliers. This approach reduces manual workload, improves data quality, and supports detailed scenario analyses for effective decarbonization strategies in complex apparel supply chains.

## Links

- Profile: https://bilarna.com/provider/carbonfact
- Structured data: https://bilarna.com/provider/carbonfact/agent.json
- API schema: https://bilarna.com/provider/carbonfact/openapi.yaml