Blippa.com

Description by tool provider

No-code Digital Product Passport platform enabling brands to create ESPR-compliant product passports with QR codes. Supports textiles, batteries, electronics, furniture. Integrates with 40+ data sources including PLM, ERP, and sustainability platforms.

Product segments covered by the tool

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

Platform technologies

• •Software-as-a-Service (SaaS)
• •Cloud-hosted platform
• •Multi-tenant system design
• •Relational database
• •Role-based access control (RBAC)
• •AI/Machine learning models
• •QR code tagging
• •RFID/NFC technology
• •Automated rules engine
• •Cryptographic integrity checks (hashing, signatures)

Data input/output methods

• •Manual data entry
• •Bulk upload/export (Excel / CSV)
• •Inbound APIs
• •Outbound APIs
• •Event-based APIs (webhooks, outbound)
• •Reporting export
• •Workflow automation
• •IFTTT-style automation connectors
• •Scheduled file import/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).
• •Product–supplier association - Specific products (styles, SKUs, batches) are linked to the suppliers involved in their production.
• •Product composition / component traceability - Products are represented as structured compositions (e.g. components, ingredients) that can be independently traced to upstream sources.

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)
• •Chemical impact & compliance data - (e.g. restricted substances, chemical inventories, compliance status)
• •Supplier processes & practices - (e.g. production processes, management systems, operational practices)
• •Water use & wastewater data - (e.g. water withdrawal, consumption, discharge, wastewater treatment data)
• •Human rights & working conditions - (e.g. labor practices, social compliance 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.

• •Qualitative data - (e.g. yes/no answers, self-assessments, policy statements)
• •Quantitative data - (e.g. numeric values, measurements, calculated indicators)
• •Certificates & formal attestations - (e.g. certificates linked to suppliers, materials, or products)

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

LCA results from external tools can be imported and stored - (e.g. impact indicators calculated elsewhere);

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.

• •Manual or externally defined risk assessments can be stored - (e.g. risk ratings entered by users or imported from external sources)
• •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)
• •Consumers or external stakeholders - (e.g. read-only access via QR/DPP)
• •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)
• •Logistics or downstream partners - (e.g. distributors, recyclers, end-of-life actors)

Consumer-facing access to product data

• •Consumer-facing product views are provided - (e.g. via QR code, URL, or Digital Product Passport interface)
• •Consumer-facing content is configurable by the brand - (e.g. control over which data is displayed)
• •External stakeholder access (read-only) - (e.g. regulators, auditors, partners)

Digital Product Passport (DPP) development activity

Live DPP implementations with Swedish fashion brands including Nudie Jeans and Eton. Full ESPR compliance support with QR-based consumer access to product data. Active development of EU Regulation support for all categories.

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.

ESPR and EU Battery Regulation drive our roadmap. We track delegated acts, align data models to EU standards, and support customers with compliance pilots. Active in DPP standardization discussions.