Respect Saas

Description by tool provider

Respect SaaS maps supplier networks across every tier, collecting proof documents, compliance records, and ESG metrics, giving brands the visibility to manage risks, meet regulations, and share their sourcing story with consumers.

Product segments covered by the tool

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

Platform technologies

• •Software-as-a-Service (SaaS)
• •Cloud-hosted platform
• •QR code tagging

Data input/output methods

• •Manual data entry
• •Bulk upload/export (Excel / CSV)
• •Inbound 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).
• •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.
• •Process & substance (chemical) traceability - Substances used in manufacturing processes can be recorded and linked to facilities, process steps, and affected products.
• •Material flow / chain-of-custody tracking - Material inputs, outputs, and transformations between supply-chain actors are recorded using a defined chain-of-custody model.

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)
• •Carbon & energy data - (e.g. GHG emissions, energy use, Scope-related data)
• •Supplier processes & practices - (e.g. production processes, management systems, operational practices)
• •Human rights & working conditions - (e.g. labor practices, social compliance data)
• •Animal welfare - (e.g. animal-derived materials and related practices)
• •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.

• •Certificates & formal attestations - (e.g. certificates linked to suppliers, materials, or products)
• •Quantitative data - (e.g. numeric values, measurements, calculated indicators)
• •Verification & audit evidence - (e.g. audit results, third-party verification status)
• •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

• •LCA results from external tools can be imported and stored - (e.g. impact indicators calculated elsewhere)
• •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)
• •Rule-based risk assessments are supported - (e.g. risks derived from predefined rules or thresholds)

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)
• •Consumers or external stakeholders - (e.g. read-only access via QR/DPP)

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)

Digital Product Passport (DPP) development activity

We are integrating DPP capabilities directly into our traceability platform. By leveraging the supply chain data we already collect, we are transforming our existing consumer transparency solution, into a fully DPP-compliant product passport, ready to meet upcoming regulatory expectations.

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 directly drive our product roadmap. Our current EUDR pilot enables brands to collect proof documentation across their supply chains and streamline Due Diligence Statement (DDS) submissions, turning compliance into scalable process.