Vendor
&Wider (andWider)
“S” (Social) of ESG. Stakeholders (workers and community members) Voice collection. Human Rights Compliance. Social Risks.
Sustainability / ESG data management & reporting tool
&Wider B.V.
&Wider B.V. is a SaaS platform focused on scalable due diligence for supply chain visibility and risk management, particularly in social ESG aspects such as human rights compliance and stakeholder voice collection across 73 countries. It targets brands and retailers like Danone, facilitating data exchange with suppliers at various tiers, auditors, and logistics partners. Key strengths include AI-driven data analysis, support for rule-based and data-driven risk assessments with visualization, and integration via manual entry, bulk uploads, and messaging apps.
AI-generated from all supplier submitted data.
Quick facts
Website
Started (year)
2014
Country of origin
South Africa
SME adaption
No SME-specific solutions
Blockchain implementation
N/A
API integration approach
Both, depending on system and use case
Free test version
No
Chemical substance traceability
None;
Chain-of-custody is a continuity capability; composition and substance traceability are depth capabilities. Neither replaces the other.
LCA frameworks supported
No specific standard alignment;
Primary data contributors
Primarily entered by suppliers and partners
Consumer-facing access to product data
No consumer-facing or external access is provided;
Digital Product Passport (DPP) development activity
N/A
Details
Description by tool provider
&Wider provides scalable due diligence across 73 countries. Using anonymous mobile tech & AI-driven data, we help clients like Danone gain supply chain visibility and manage risk. From individual sites to entire sectors, our expert support ensures actionable insights and improved business practices.
Product segments covered by the tool
- Apparel
- Home textiles
- Textile & leather accessories and goods -
- Footwear
- Furniture
- Sports & outdoor equipment
- Other non-textile products
Platform technologies
- Software-as-a-Service (SaaS)
- Data As A Service
- AI/Machine learning models
Data input/output methods
- Manual data entry
- Bulk upload/export (Excel / CSV)
- Messaging Apps (Whatsapp, WeChat), Web Form, IVR (interactive voice response)
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.
- Human rights & working conditions - (e.g. labor practices, social compliance data)
- Supplier processes & practices - (e.g. production processes, management systems, operational practices)
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.
- 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 is not handled by the platform;
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)
- Rule-based risk assessments are supported - (e.g. risks derived from predefined rules or thresholds)
- 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)
- Logistics or downstream partners - (e.g. distributors, recyclers, end-of-life actors)
- Consumers or external stakeholders - (e.g. read-only access via QR/DPP)
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 rules require companies to risk-assess suppliers and conduct deep due diligence where human rights or disruption risks exist. &Wider specializes in this, providing monitoring and assessment solutions for quick, reliable prioritization across suppliers, geographies, and products.