Cold-Chain Shipment Monitor
US-based logistics / pharmaceutical supply-chain technology companyA connected monitoring device tracks temperature and environmental conditions during transportation and storage and generates alerts when conditions move outside defined limits.
Where AI accelerated vs. where our engineers led.
Every project follows the same Rivix Split — AI drafts the mechanical work, a named engineer reviews and owns every decision that touches safety, cost, or a regulatory limit.
Where AI accelerated
- Firmware & sensor drivers
- Connectivity implementation
- Backend APIs & data ingestion
- Alerting logic & dashboard
- Test generation & documentation
Where our engineers led
- Temperature requirements & sampling strategy
- Battery architecture
- Connectivity strategy
- Device reliability
- Alert semantics & validation
Technical deep-dive
Additional detail on architecture, stack and implementation specifics for this engagement.
Architecture & stack
The monitor combines a temperature/environmental sensor suite with a cellular and/or BLE connectivity module on a firmware stack built for intermittent connectivity during transit. Data flows into a cloud ingestion service that feeds an alerting engine and a fleet-visibility dashboard.
- Temperature/environmental sensor suite + cellular and/or BLE connectivity module
- Store-and-forward firmware architecture built for intermittent connectivity
- Cloud ingestion pipeline feeding an alerting engine and fleet dashboard
Connectivity & data pipeline
Because shipments pass through areas with inconsistent cellular coverage, the device buffers readings locally and transmits opportunistically when connectivity is available, with BLE used for local handoff/configuration at depots. The backend reconstructs a continuous temperature history from these intermittent uploads and evaluates it against configurable excursion thresholds.
- Local buffering of readings when cellular coverage is unavailable
- Opportunistic upload when connectivity returns; BLE used for depot-side local handoff
- Backend reconstructs a continuous temperature history from intermittent uploads
Key engineering challenges
Reliable operation across variable connectivity — buffering strategy, retry logic and avoiding data loss when a shipment is out of cellular range for extended periods — was the primary engineering focus, alongside battery life across multi-day or multi-week shipment durations.
- Guaranteeing zero data-loss gaps despite unpredictable cellular coverage in transit
- Retry/backoff logic that doesn't drain the battery during extended dead-zone periods
- Defining excursion thresholds and alert semantics that are actionable, not noisy
Why this approach
A store-and-forward architecture was chosen over requiring continuous connectivity because cold-chain shipments routinely pass through dead zones (cargo holds, remote routes); the alerting value only holds up if the device can guarantee no gaps in the recorded temperature history regardless of connectivity.
- Store-and-forward chosen because cold-chain routes routinely cross dead zones (cargo holds, remote roads)
- Alerting value depends on a gapless temperature record, which shaped the buffering strategy from day one
- BLE reserved for local/depot use, keeping the cellular radio's duty cycle minimal in transit