Supplier / vendor management system
Sustainability / ESG data management & reporting tool
TheBHive
TheBHive is a cloud-hosted digital platform designed for managing chemical inventories, safety data sheets (SDS), and MRSL compliance, while enabling secure data sharing among supply-chain partners. It targets factories, brands, and certification bodies in the apparel, textiles, home textiles, footwear, and sports equipment sectors, with adaptations for small and medium enterprises. Key strengths include comprehensive chemical substance traceability, risk assessment tools with data-driven indicators and visualization, and support for qualitative and quantitative sustainability data exchange.
AI-generated from all supplier submitted data.
Quick facts
Website
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)