Unified Data Intelligence for Pharma Cold Chain Logistics
Turn fragmented shipment data into one accurate, real-time source of truth.
One Structured Data Foundation.
Every source, no gaps.
The Challenge
Pharmaceutical logistics runs on a fragmented ecosystem of systems, each speaking a different language. Connecting them manually is slow, error-prone, and unsustainable at scale.
The SOLUTION
chaingr® ingests data from all your sources through a pre-built integration layer, with no custom development and no setup effort. Every milestone, location signal, and environmental reading flows into one consolidated shipment record from day one.
THE RESULT
Operations and quality teams work from the same real-time picture. Less time chasing updates, more time acting on them, with full confidence that no source is missing.
The Challenge
Even when data is available, it rarely aligns. Mixed units, mismatched time zones, duplicates, and conflicting IDs generate noisy monitoring, unreliable reports, and constant cleanup that slows down every team depending on it.
The SOLUTION
chaingr® normalizes incoming streams automatically, resolving units, timestamps, and identifiers before anything reaches dashboards or workflows. Each feed is validated at ingestion, not after the fact.
THE RESULT
Trustworthy, comparable outputs across every carrier, lane, and partner. Fewer false escalations, faster responses, and no more time lost fixing what should have been clean from the start.
The Challenge
When incidents occur, scattered records slow everything down. Milestones, location events, and sensor readings sit in separate systems, making root-cause analysis inconsistent and hard to document.
THE SOLUTION
chaingr® aligns events, conditions, and milestones into one chronological shipment timeline. Each incident has a clear, structured sequence with no cross-referencing across tools required.
THE RESULT
Faster investigations, sharper accountability, and documented evidence ready for partner review or regulatory inspection, built from data that was already in order.
The Challenge
Reporting on shipment status means rebuilding context from scratch each time. Without a shared foundation, updates take too long and carry too much risk of inconsistency.
THE SOLUTION
chaingr® publishes status feeds, dashboards, and on-demand reports straight from the shipment timeline, with full traceability back to each originating system.
THE RESULT
Status questions answered in seconds. Inspection-ready documentation generated on demand. No version conflicts, no assembly required. Just outputs your team can immediately act on.
WHAT YOU GET WITH CHAINGR®
End-to-End Visibility, From First Ping to Final Release
- A single, validated view of TMS, ERP, IoT, and carrier data across your logistics network.
- Real-time visibility into shipment location and environmental conditions for continuous compliance monitoring.
- Automated milestone tracking to eliminate manual follow-up and ensure end-to-end traceability across all carrier touchpoints.
- Proactive, context-based alerts to flag emerging risks before they impact product quality.
- Comprehensive shipment records for faster, audit-ready regulatory documentation.
They trust chaingr
Reduction in time spent on manual data reconciliation
Data latency from source event to unified shipment record
Data source connectors available across TMS, ERP, IoT, and carrier networks
Expert Perspectives on Cold Chain Excellence
Ready to Connect Your Cold Chain Visibility Data?
Fill in the expert check
FAQs about Cold Chain Visibility and Data Integration
What data sources does chaingr® connect?
chaingr® connects to all the systems your logistics operation already relies on—TMS, ERP, IoT monitoring devices, and carrier platforms. Data from every source is automatically pulled into a single shipment record through pre-built connectors, with no custom development required.
This means your team no longer needs to manually reconcile information from different systems or work from incomplete snapshots. Every data source feeds into one unified pipeline, giving your team a complete, real-time view of every shipment from day one
How does chaingr® connect to my existing systems?
chaingr® integrates with your existing technology stack—including ERP systems such as SAP and Oracle, TMS platforms, and custom or legacy systems—through configurable pre-built connectors. During onboarding, your implementation team maps each system's data structure to chaingr®'s unified data model, ensuring shipment orders, product master data, and delivery milestones are ingested correctly regardless of format.
Mismatched identifiers, duplicate records, and format inconsistencies are resolved automatically before data reaches any dashboard or workflow. Once live, changes in your source systems are reflected in chaingr® automatically, keeping everything aligned throughout the shipment lifecycle without manual synchronization or data entry.
How is data normalized?
Every incoming data stream goes through an automatic standardization process—units are converted (e.g., °F to °C), timestamps are aligned across time zones, and identifiers are reconciled across systems. Data that doesn't pass quality checks is flagged before it reaches monitoring or reporting layers, preventing bad data from influencing alerts or decisions.
The result is a single, consistent data layer your team can trust, with fewer false alerts, more reliable analytics, and reports that are defensible in audits.
Is historical data available?
Yes. chaingr® retains full shipment history, including temperature profiles, milestone events, alert logs, and disposition outcomes. Historical data is available on demand for trend analysis, lane performance reviews, excursion benchmarking, and regulatory audits.
Every record retains a traceable link back to its original source system, timestamp, and ingestion event, so you can always reconstruct the full picture of any shipment, even months or years after delivery.
How long does onboarding take?
For standard integrations using pre-built connectors, initial data flows can be up and running within days. Full onboarding—including integration configuration, data validation, lane profile setup, and user training—typically takes between 4 and 8 weeks depending on the complexity of your environment.
For regulated environments requiring Computerized System Validation (CSV), chaingr® provides the necessary IQ/OQ/PQ documentation to support your validation process and minimize the burden on your quality team.
DISCOVER MORE ABOUT CHAINGR®
Olamide Anibaba
Customer Solutions Manager
USA
