Worldly

Description by tool provider

Worldly is the leading sustainability and supply chain intelligence platform for the consumer goods industry. It helps turn verified data into actionable insights across global supply chains, driving transparency, regulatory compliance, risk reduction, and measurable environmental and social impact.

Product segments covered by the tool

• •Other non-textile products
• •Sports & outdoor equipment
• •Furniture
• •Footwear
• •Textile & leather accessories and goods -
• •Home textiles
• •Apparel

Platform technologies

• •Software-as-a-Service (SaaS)
• •Cloud-hosted platform
• •Multi-tenant system design
• •Relational database
• •Graph database
• •Role-based access control (RBAC)
• •Automated rules engine
• •AI/Machine learning models

Data input/output methods

• •Manual data entry
• •Bulk upload/export (Excel / CSV)
• •Inbound APIs
• •Outbound APIs
• •Reporting export

Chemical substance traceability

Chain-of-custody is a continuity capability; composition and substance traceability are depth capabilities. Neither replaces the other.

• •Supplier visibility/supply chain mapping - The system stores structured information about suppliers beyond Tier 1 (e.g. role, tier, location).
• •Process & substance (chemical) traceability - Substances used in manufacturing processes can be recorded and linked to facilities, process steps, and affected products.

Sustainability Impact categories

Impact data coverage describes which sustainability-related topics a platform can store and manage data for. It does not indicate the quality of the data, the methodology used, or whether impacts meet specific regulatory thresholds.

• •Material attributes - (e.g. fiber type, recycled / biobased content, origin attributes)
• •Life Cycle Assessment (LCA) data - (e.g. environmental footprint indicators at product or material level)
• •Carbon & energy data - (e.g. GHG emissions, energy use, Scope-related data)
• •Water use & wastewater data - (e.g. water withdrawal, consumption, discharge, wastewater treatment data)
• •Chemical impact & compliance data - (e.g. restricted substances, chemical inventories, compliance status)
• •Supplier processes & practices - (e.g. production processes, management systems, operational practices)
• •Human rights & working conditions - (e.g. labor practices, social compliance data)
• •Biodiversity & land use - (e.g. land-use impacts, deforestation-related data)

Types of sustainability impact data

Impact data coverage indicates what topics a system can handle; traceability capabilities indicate how precisely that data can be linked to products, materials, and processes.

• •Calculated / derived indicators - (e.g. system-generated metrics based on underlying data)
• •Certificates & formal attestations - (e.g. certificates linked to suppliers, materials, or products)
• •Verification & audit evidence - (e.g. audit results, third-party verification status)
• •Quantitative data - (e.g. numeric values, measurements, calculated indicators)
• •Qualitative data - (e.g. yes/no answers, self-assessments, policy statements)

Life Cycle Assessment  (LCA) handling

Product carbon footprint (PCF) calculations represent a single impact category and do not constitute a full Life Cycle Assessment (LCA), which covers multiple environmental impact categories across the product life cycle

Life Cycle Inventory (LCI) data can be stored and managed - (e.g. LCA-ready process inputs/outputs, background data, activity data);

Risk assessment support

Risk assessment functionality indicates whether a platform supports identifying, prioritising, or visualising potential sustainability or compliance risks. Approaches vary significantly between tools and may rely on user-defined criteria, predefined rules, or system-generated indicators. Risk assessments are intended to support prioritisation and decision-making. They do not in themselves constitute legal compliance or due diligence.

• •Data-driven risk indicators are generated by the system - (e.g. risk signals based on traceability or impact data)
• •Risk visualisation and hotspot identification - (e.g. dashboards, maps, or prioritisation views)

Value chain actors involved in data exchange

• •Brand / retailer users - (e.g. internal teams managing products, suppliers, or reporting)
• •Tier 1 suppliers - (e.g. cut-and-sew factories, final assemblers)
• •Tier 2 suppliers - (e.g. mills, dye houses, processors)
• •Tier 3+ suppliers - (e.g. raw material processors, fiber producers)
• •Service providers / auditors / certification bodies - (e.g. third-party verification or compliance actors)

Digital Product Passport (DPP) development activity

Worldly supports EU-aligned Digital Product Passport outputs powered by verified primary supplier data from 40,000+ facilities. Product-level impact data (PIC/MSI) and supply chain transparency enable structured environmental disclosures for textile DPP requirements.

EU regulatory readiness

Regulatory readiness reflects how a provider monitors and responds to evolving EU sustainability and supply chain regulations. It does not constitute a claim of legal compliance, as regulatory scope and timelines are still evolving.

EU regulations (ESPR/DPP, CSRD/ESRS, French Eco-Score, PEF) directly shape Worldly’s roadmap. A connected dataset powers Scope 3 reporting, product footprinting, regulatory disclosures, and DPP-aligned transparency, supporting customer compliance across EU markets.