The Architecture Behind Cold Chain Decision Intelligence.

Cold chain technology combines packaging, passive temperature loggers, active IoT devices, 4PL/3PL tracking, and enterprise systems such as TMS, WMS, ERP, MES, and QMS. A connected software layer links those sources to product requirements and operating procedures. CONTXT uses Data Foundry for ingestion, the Agent Harness for network context, and its modules for planning, exception management, and product disposition.

Visibility shows condition, location, and status. Orchestration connects that information to a defined process and the next action. A dashboard might display a delay; an orchestrated workflow relates the delay to the lane, product requirements, and SOP, then routes the investigation and records the response. CONTXT connects visibility to governed workflows and agent-assisted execution.

A cold chain source of truth dashboard presents a connected shipment record: device readings, carrier milestones, handling units, batches, and related decision evidence. For example, a temperature alert is more useful when the same record shows the product requirements, shipment progress, and governing SOP. Data Foundry supplies that shared context to the CONTXT modules.

A single source of truth is a shared record that connects shipment identity, handling units, batches, condition data, carrier events, and the evidence used in decisions. It links source information to the same operational context, allowing planning, logistics, and quality to work from a consistent view. Data Foundry ingests API, EDI, and files including CSV, PDF, and XML into that record. See how the Command Center uses connected evidence.

Data consolidation connects sources and maps their identifiers to a common shipment record. For example, an ERP delivery number, a carrier shipment ID, and a logger report need to refer to the same movement and handling unit. Data Foundry connects these inputs so downstream modules can interpret condition, movement, and product requirements together; source coverage and mapping depend on the implementation. See how the Command Center uses connected evidence.

A generic model reasons from general training data. The Agent Harness reasons from your own SOPs, lane configurations, product stability data, and risk thresholds, encoded as a living, continuously updated knowledge layer. Every Agent recommendation shows that reasoning, and every action it takes is logged and attributable. See the reasoning, then let it act.

High-risk corridors require a qualified combination of route, provider, packaging, product requirements, and contingency procedures. Lane Qualification & Active Risk Intelligence brings those inputs into one model, supports scenario analysis and review workflows, and compares actual shipment outcomes with the approved plan. It helps teams assess and update a lane rather than treating qualification as a document that never changes. Explore qualified planning decisions.

A lane risk assessment evaluates whether a planned transport route and its operating conditions can meet product requirements. It considers transit time, handling points, packaging capability, provider performance, temperature exposure, and the governing SOP. PAXAFE connects that qualified baseline to actual shipment evidence so risk and performance can be reviewed as the network changes. Explore qualified planning decisions.

For example, a lane may perform well on average while repeated receiving delays consume the margin in its qualified packaging plan. Linking the actual dwell and transit evidence to the lane helps planners identify what needs reassessment.

Packaging capability must be assessed against the product requirements, expected journey, handling conditions, and contingency plan. Smart temperature controlled packaging and connected devices can supply useful evidence, but the decision still needs the packaging configuration and qualified operating limits. PAXAFE connects packaging, provider, lane, and product context in the qualified model. Explore qualified planning decisions.

The right solution depends on your data sources, product requirements, and operating model. Evaluate whether a pharma shipment control tower connects condition and movement to the same record, interprets exceptions against SOPs and stability requirements, and preserves decision evidence. CONTXT combines those activities across Lane Qualification, the Command Center, and Product Disposition & Lineage. Assess fit using representative lanes, integrations, and release workflows.

Excursions can arise from delays, extended dwell, handling or storage conditions, packaging limitations, or failures in the planned transport process. An alarm also needs investigation: device placement, the recording period, and whether the logger was stopped at receiving can affect interpretation. The Command Center connects readings to carrier events, product requirements, and SOPs so teams can investigate the relevant context. Explore SOP-guided logistics operations.

For example, a logger left running after delivery may record an alarm during unpacking. The team must establish the delivery and recording timeline and apply the product-specific criteria before treating that alarm as evidence of transport damage.

AI-assisted risk scoring can combine condition readings, journey progress, and lane context to prioritize shipments for investigation. PAXAFE’s Live Risk Agent uses the connected shipment record and network context to triage exceptions against configured thresholds and SOPs. A risk score helps prioritize response; Quality still needs product-specific exposure evidence for disposition. Explore SOP-guided logistics operations.

Look for connected condition and journey data, product and lane context, configurable risk thresholds, and a clear workflow for intervention. Real time transportation visibility capabilities are useful when movement and condition can be interpreted together. PAXAFE combines live risk triage with SOP-guided investigation and a decision record; coverage depends on the connected sources. Explore SOP-guided logistics operations.

The shared shipment record connects available carrier events, device readings, and logged decisions to the shipment and affected handling unit. Teams can reconstruct when an exception occurred, what evidence was reviewed, and which response followed. That context helps logistics hand a more complete investigation to Quality instead of assembling it again from separate portals. Explore SOP-guided logistics operations.

Start with the product requirements, approved stability data, and exposure history. Resolve time in and out of range against the applicable stability budget, then combine that assessment with damage, security, document, and receiving checks. PAXAFE records the evidence, signatures, and batch lineage in the disposition workflow, with review and approval governed by the configured process. Explore Quality release workflows.

For example, an in-range transit report does not establish a complete batch history if earlier storage exposure is missing. The checklist brings those stages together and routes unresolved evidence for review instead of assuming the transit record is sufficient.

A temperature release decision engine applies product-specific rules and stability limits to exposure evidence to support a disposition decision. It needs the full relevant history, rather than a single transit alarm, and must account for missing or conflicting data. Product Disposition & Lineage connects that assessment to the release checklist and traceable approvals. Explore Quality release workflows.

Connect manufacturing, warehouse, and transport records to the product and batch, identify the applicable temperature limits, and reconcile time in and out of range against approved stability data. PAXAFE connects device-agnostic exposure history with product lineage and stability budgets. The completeness of the assessment depends on the evidence available for each stage. Explore Quality release workflows.

Useful AI needs access to the product requirements, approved SOPs, lane configurations, and risk thresholds relevant to the decision. ATHENA AI works with the shared CONTXT model so questions and recommendations have network context. Governed workflows define where review and approval are required, and the record preserves the evidence used in decisions. See how the Agent Harness encodes network context.

PAXAFE is GxP purpose-built, with signatures, role-based access, traceable records, and qualification evidence supporting regulated workflows. The customer’s intended use, configuration, procedures, and approvals determine the validated state of its operation. Review the Quality section for the platform delivery process and the responsibilities around customer configuration.

PAXAFE connects shipment and batch evidence to governed workflows, role-based access, signatures, and decision records. Its delivery process includes risk assessment, qualification evidence, and a Quality approval gate. The customer defines intended use, configuration, procedures, and the validated state for its operation; platform controls support that process. Explore governed product disposition.

No. SOC 2 Type 2 and ISO/IEC 27001 address assurance and information security; 21 CFR Part 11 is a regulatory framework, and GAMP 5 is industry guidance. The trust marks on this page describe different kinds of assurance and should be evaluated according to their scope. Quality teams should review the relevant evidence for their intended use. Explore governed product disposition.