Event-Centric Verifiable Supply Chain Layer (EVSC) #49
Description
The 'Why'
CropChain currently tracks crop data across the application, database, and blockchain,
but lacks a single verifiable source of truth for the crop’s lifecycle. This can lead to
limited transparency, higher blockchain costs, and reduced trust for end consumers.
The proposed Event-Centric Verifiable Supply Chain (EVSC) layer improves the farm-to-fork
experience by ensuring that every action—harvest, quality check, transport, and retail—
is recorded as a cryptographically verifiable event.
For farmers, this guarantees fair attribution and traceability of their produce.
For distributors and retailers, it provides an auditable and tamper-proof logistics trail.
For consumers, it enables trustworthy QR-based verification of a product’s journey,
increasing confidence in food safety, quality, and origin.
Overall, EVSC strengthens transparency, trust, and accountability across the entire
supply chain while making the system scalable for real-world adoption.
Feature Category
Blockchain/Smart Contracts
Proposed Logic/UI
The EVSC layer introduces a unified, event-driven architecture:
-
Every supply-chain action is recorded as a structured event containing:
- Batch ID
- Actor role and wallet address
- Event type (harvest, transport, quality check, etc.)
- Timestamp and metadata
- Cryptographic signature and hash
-
Full event data is stored off-chain (MongoDB / IPFS) for scalability.
-
Cryptographic hashes of critical events are anchored on-chain via smart contracts
to guarantee integrity and prevent tampering. -
QR codes generated for each batch reference the latest verified event hash,
allowing independent verification by any stakeholder. -
The frontend visualizes events as a chronological supply-chain timeline,
enabling admins and users to audit or replay a batch’s journey. -
The AI assistant consumes the event history to provide context-aware and
explainable responses (e.g., identifying delays or quality issues).
This design is backward-compatible and can be introduced incrementally without
disrupting existing workflows.