Three Data Schemas That Make IoT Supply Chain Tracking Audit-Ready

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Standard IoT tracking relies on GPS and timestamps, but industries like pharmaceutical cold chain and food safety require a more rigorous data model built around three evidence types: condition, asset, and custody. Condition evidence logs environmental sensor readings alongside calibration metadata, which quality teams need to assess whether data meets regulatory integrity standards such as the ALCOA+ framework. Asset evidence treats reusable logistics containers as capital assets tracked through event-driven records, enabling KPIs like loss rate and dwell time — critical given industry loss rates of 5–15% annually. Custody evidence links the other two dimensions by recording exactly who held control of a shipment and snapshotting environmental conditions at each handover point. Together, these schemas create an accountable chain where any temperature excursion or asset loss can be traced to a responsible party.

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