Unified Data Intelligence for Temperature-Controlled Cold Chains.
Connect every data source and give your team a single, real-time view across the entire cold chain.
BREAK DATA SILOS
One Single Platform for Pharma Logistics Data Integration.
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Connect every data source, without the manual work.
The Challenge
Pharmaceutical logistics relies on a fragmented ecosystem of systems — TMS, ERP, IoT devices, carrier platforms — each speaking a different language. Connecting them manually is slow, error-prone, and unsustainable at scale. |
The Solution
chaingr® automatically ingests data from all your sources — TMS, ERP, IoT devices, and carrier platforms through a unified, pre-built integration layer. No custom development, no data silos, no manual effort. |
The Result
Every data source is connected and feeding into a single pipeline from day one, giving your team complete, real-time visibility across the entire shipment network.
Clean data in, trusted analytics out. At scale.
The Challenge
Even when data is available, it isn’t consistent—mixed units, time zones, timestamp quirks, duplicates, and mismatched IDs. That means noisy monitoring, conflicting reports, and constant manual cleanup.
The Solution
chaingr® standardizes your data automatically—normalizing units and time zones, resolving identifiers, and applying quality checks before the data reaches dashboards or workflows.
The Result
Your team finally trusts the numbers. Less time fixing data, fewer false escalations, and faster, more confident decisions across lanes and partners.
Connect milestones to conditions.
The Challenge
When something goes wrong, the data doesn’t line up. Milestones, location signals, and sensor readings live in separate timelines, making investigations slow, subjective, and hard to defend.
The Solution
chaingr® correlates milestones, location events, and condition signals into one ordered shipment timeline, so that investigations start from a complete, structured picture rather than scattered data points.
The Result
Root-cause analysis becomes fast and defensible, allowing your team to resolve incidents quicker, hold partners accountable, and prevent the same issues from repeating.
Proactive updates and audit-ready reporting.
The Challenge
Status updates and reporting rely on manual follow-up, screenshots, and spreadsheets. Without consistent definitions and timestamps, reporting is slow and difficult to defend in audits.
The Solution
chaingr® publishes controlled status feeds, dashboards, and on-demand reports directly from the unified timeline, with consistent semantics and full lineage back to source systems, so every report is defensible and audit-ready on demand.
The Result
Users answer status questions instantly and generate audit-ready shipment reporting on demand, reducing back-and-forth and reporting cycle time.
They trust chaingr
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FREQUENTLY ASKED QUESTIONS
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 our 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.
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AWAD Yahia
Customer Solutions Manager