Predictive Recall Risk Scoring with On-Chain Data

Manual traceability investigations during a recall can take weeks and cost millions in labor and lost sales. Our on-chain solution provides an immutable, single source of truth across the supply chain.

• Real-time Provenance: Instantly trace a suspect batch from store shelf back to source farm or factory.
• Automated Audits: Reduce forensic accounting and logistics review from 300+ hours to near-zero.
• Example: A major food distributor reduced its mock recall drill time from 7 days to 2 hours, cutting potential operational costs by over 80%.

Overly broad recalls destroy profitability. Without precise data, companies must recall entire product lines. Predictive risk scoring enables surgical precision.

• Granular Isolation: Confine recalls to specific lots, batches, or shipments verified on-chain, protecting unaffected inventory.
• Dynamic Risk Scoring: Continuously analyze supplier, transport, and facility data to flag high-risk segments before issues escalate.
• Business Impact: A pharmaceutical company avoided a full product-line recall by isolating a contamination event to a single manufacturing run, preserving over $50M in revenue.

Meeting FSMA 204, EU DPP, and other modern traceability mandates requires exhaustive documentation. Manual processes are error-prone and audit-intensive.

• Regulatory-Grade Ledger: Every custody transfer and condition log is cryptographically sealed, creating a tamper-proof audit trail.
• One-Click Reporting: Generate compliance reports for regulators in minutes, not months, with verifiable data integrity.
• Real-World Application: Consumer goods manufacturers use this immutable record to seamlessly pass third-party audits, eliminating costly remediation phases.

In an era of consumer skepticism, transparency is a competitive moat. Proving your supply chain integrity builds loyalty and justifies premium positioning.

• Consumer-Facing Verification: Enable end-customers to scan a QR code and view a product's authenticated journey from origin to shelf.
• Brand Equity Shield: Demonstrable diligence mitigates reputational damage during a crisis, showing proactive stewardship.
• Market Example: Luxury brands and organic food producers use verifiable provenance to command higher prices and deepen customer engagement, directly impacting top-line growth.

On-chain data is not just for recalls. It becomes a strategic asset for optimizing your entire supply network.

• Performance Analytics: Identify bottlenecks, unreliable suppliers, or inefficient routes based on immutable performance data.
• Predictive Modeling: Feed historical on-chain data into ML models to predict and prevent future disruptions or quality issues.
• ROI Expansion: Transform a compliance cost center into a strategic intelligence hub, driving efficiencies in procurement, logistics, and quality assurance.

Global traceability regulations are tightening. A blockchain-based system is inherently adaptable, reducing future compliance costs.

• Interoperable Framework: Designed to integrate with emerging standards and partner networks without costly re-engineering.
• Reduced Legacy Risk: Avoid the sunk cost and limitations of siloed, proprietary traceability systems that become obsolete.
• Strategic Justification: This is not an IT upgrade; it's regulatory insurance. The investment secures your license to operate in key markets for the next decade.

Replace slow, manual due diligence with continuous, automated monitoring. On-chain data provides a real-time, immutable ledger of counterparty activity, allowing you to detect risk signals like sudden liquidity withdrawals or collateral degradation weeks before traditional audits would flag them.

• Example: A supply chain finance platform can continuously monitor the wallet health of its vendors, preventing exposure to a partner undergoing a silent bank run.

Transform opaque relationships into quantifiable metrics. A Predictive Risk Score synthesizes hundreds of on-chain data points—liquidity, leverage, transaction history, governance activity—into a single, actionable grade (e.g., A-F). This allows CFOs to:

• Set clear exposure limits based on objective data.
• Automate collateral calls or payment terms for high-risk partners.
• Justify decisions to auditors and regulators with a transparent audit trail.

Proactive risk management directly impacts the bottom line. By identifying failing counterparties early, enterprises can avoid catastrophic defaults and reduce operational overhead.

• Cost Avoidance: Prevent losses from bad debt and write-offs.
• Efficiency Gain: Reduce manual investigation time for risk teams by automating alerting and reporting.
• Real ROI: A global trade finance bank implemented on-chain scoring and reduced its default-related losses by 47% in the first year, while cutting due diligence costs by 35%.

On-chain data provides an irrefutable audit trail for all risk assessments. This is critical for regulated industries like financial services and healthcare, where proving due diligence is mandatory.

• Regulatory Compliance: Demonstrate a systematic, data-backed approach to KYC and AML requirements.
• Stakeholder Assurance: Provide investors and board members with transparent, verifiable reports on portfolio risk.
• Dispute Resolution: Resolve contractual disagreements with timestamped, immutable proof of counterparty behavior.

Adoption doesn't require a tech overhaul. Predictive risk scores are delivered via APIs that plug directly into existing Enterprise Resource Planning (ERP), Treasury Management, and Risk Management platforms (e.g., SAP, Oracle, Moody's).

• Low Friction: Implement in weeks, not years, with minimal IT lift.
• Actionable Alerts: Configure automated workflows—like pausing shipments or tightening credit—when a partner's risk score breaches a threshold.

Traditional models fail during market crises. On-chain intelligence analyzes network effects and contagion risk across the entire ecosystem, not just bilateral relationships.

• Detect Contagion: See how the failure of a major protocol (e.g., a lending platform) could cascade to your partners.
• Stress Test Portfolios: Model the impact of market shocks on your entire web of counterparties.
• Strategic Advantage: Turn risk management from a cost center into a source of competitive resilience.

The Pain Point: Relying on self-reported supplier audits creates blind spots. A supplier's financial instability or compliance lapse can trigger a catastrophic recall.

The Blockchain Fix: On-chain credit and compliance scores built from verifiable transaction history, regulatory submissions, and IoT sensor data. Algorithms predict supplier failure risk.

Business Value: Proactively diversify your supplier base based on data-driven risk scores, preventing single points of failure. This transforms procurement from a cost center to a risk mitigation function.

The Pain Point: During a recall, regulators demand a complete audit trail. Assembling fragmented records from ERP, logistics, and quality systems is expensive and error-prone.

The Blockchain Fix: A single, tamper-proof ledger provides regulators with read-only access to the entire product journey. Demonstrates compliance-by-design with FDA (DSCSA), EU Battery Passport, and other mandates.

ROI Justification: Slash audit preparation time by 80% and reduce compliance penalties. This turns a regulatory burden into a competitive advantage and trust signal.

The Pain Point: Recall announcements erode consumer trust. Customers have no way to independently verify a product's safety or recall status.

The Blockchain Fix: A public-facing QR code or dApp where consumers scan a product to see its full history, current recall status, and remediation steps. Trust is built on cryptographic proof, not marketing.

Business Value: Transforms a recall from a PR crisis into a demonstration of integrity. Brands using this see higher customer retention and willingness to pay a premium for verifiable safety.