TILKAL

Description by tool provider

Tilkal is a SaaS company providing a Supply Chain Data Hub from raw materials to end products. It collects and analyzes n-tier operational, environmental, and social data, enabling auditable traceability, compliance, ESG performance, and end-to-end visibility across industries.

Use case or testimonial

https://files.plezi.co/prd/6807e93f-27f4-4e94-8d6e-f17264967719/contents/c929fcd3-8015-4fd2-b0ec-ddaa7e708082/files/en-short-use-case-aigle-1737648868.pdf

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)
• •Role-based access control (RBAC)
• •Blockchain / Distributed Ledger Technology
• •Cryptographic integrity checks (hashing, signatures)
• •Automated rules engine
• •AI/Machine learning models
• •Cloud-hosted platform
• •Multi-tenant system design
• •Relational database

Blockchain implementation

Our platform is based on a trusted permissioned supply chain-focused blockchain network, low on energy consumption (no proof of work)

Data input/output methods

• •Manual data entry
• •Bulk upload/export (Excel / CSV)
• •Inbound APIs
• •Outbound APIs
• •Event-based APIs (webhooks, outbound)
• •Workflow automation
• •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.
• •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 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.

• •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)
• •Supplier processes & practices - (e.g. production processes, management systems, operational practices)
• •Human rights & working conditions - (e.g. labor practices, social compliance data)
• •Biodiversity & land use - (e.g. land-use impacts, deforestation-related data)
• •Carbon & energy data - (e.g. GHG emissions, energy use, Scope-related data)
• •Water use & wastewater data - (e.g. water withdrawal, consumption, discharge, wastewater treatment data)
• •Chemical impact & compliance data - (e.g. restricted substances, chemical inventories, compliance status)
• •Animal welfare - (e.g. animal-derived materials and related 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)
• •Qualitative data - (e.g. yes/no answers, self-assessments, policy statements)
• •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

• •Life Cycle Inventory (LCI) data can be stored and managed - (e.g. LCA-ready process inputs/outputs, background data, activity data)
• •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.

• •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)
• •Manual or externally defined risk assessments can be stored - (e.g. risk ratings entered by users or imported from external sources)

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)

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

DPPs for textile in production: Longchamp (textile, leather) https://www.longchamp.com/fr/fr/products/sac-cabas-l-L1899089244.html ("Traçabilité" tab) + Aigle, Petit Bateau,... We also have DPPs in production in other sectors ex. DPP Eramet (manganese): https://youtu.be/V7xSlFW9298

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.

Developments directly shape our roadmap generating new functionalities in traceability, data auditability, reporting & risk monitoring. They influence the work of our teams who support our clients towards greater compliance with regulations related to sustainability, ESG & supply chain transparency.