Supplier / vendor management system
Sustainability / ESG data management & reporting tool
TheBHive
TheBHive is a digital chemical management platform that enables factories to organize chemical inventories and SDS, monitor MRSL compliance, and share trusted chemical data securely with brands, certification bodies, and supply-chain partners. It targets apparel, textile, footwear, and related sectors, involving brands/retailers, Tier 1-2 suppliers, and auditors, with primary data entry by suppliers and partners. Key strengths include chemical substance traceability across the supply chain, risk assessment tools like data-driven indicators and visualizations, and SME adaptations with flexible data input methods such as manual entry, bulk uploads, and APIs.
AI-generated from all supplier submitted data.
Quick facts
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Use case or testimonial
Phone
Started (year)
Country of origin
SME adaption
Platform technologies
API integration approach
Free test version
LCA frameworks supported
Primary data contributors
Consumer-facing access to product data
Details
Description by tool provider
The BHive is a digital chemical management platform that helps factories organize chemical inventories and SDS, monitor MRSL compliance, and securely share trusted chemical data with brands, certification bodies, and other supply-chain partners
Product segments covered by the tool
- Apparel
- Textile & leather accessories and goods -
- Home textiles
- Footwear
- Sports & outdoor equipment
Data input/output methods
- Manual data entry
- Bulk upload/export (Excel / CSV)
- Inbound APIs
- Outbound APIs
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).
- Material flow / chain-of-custody tracking - Material inputs, outputs, and transformations between supply-chain actors are recorded using a defined chain-of-custody model.
- 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.
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.
Chemical impact & compliance data - (e.g. restricted substances, chemical inventories, compliance status);
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)
- Verification & audit evidence - (e.g. audit results, third-party verification status)
- Certificates & formal attestations - (e.g. certificates linked to suppliers, materials, or products)
- Calculated / derived indicators - (e.g. system-generated metrics based on underlying data)
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.
- 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)
- Service providers / auditors / certification bodies - (e.g. third-party verification or compliance actors)