Cold Chain & Temperature Logistics
A temperature break is invisible until the claim lands: a chamber drifts overnight, a reefer set-point slips in transit, a bay handoff sits in the sun, a dark-store cold box warms before the last-mile run. By the time it shows up as a rejection or a quarantine, the stock is gone and the cause is a dispute. Nobody can watch every chamber, every reefer and every box every minute.
Who has it
Across all segments; zero-tolerance and most escalation-heavy for pharma and vaccine operators, highest in-transit value for reefer fleets, and shortest clock for fresh and quick-commerce fulfilment.
What we build
Continuous monitoring of the operator's own temperature sensors against band and duration rules, so a break is flagged and pushed to the right person the moment it forms: a chamber or reefer drifting outside its band, a sensor going quiet, a door or genset event, a handoff running long. The alert is a watch-this-now signal to a named person, with the exposure (which stock, how long) attached so the human can act while the load can still be saved. This honesty matters: most of the value is the deterministic threshold-and-rule engine on sensor data; that is engineering, not AI.
What is automated, where AI helps, who signs off
The reliable spine
The reliable spine is a deterministic threshold-and-rule engine on the operator's own sensor data: band and duration limits, sensor-silence and door or genset checks, the exposure calculation (which stock, for how long), and the escalation that pushes the alert to the right named person. That is engineering, not AI.
Where AI helps
AI does only bounded work on the operator's own excursion history: clustering recurring break patterns a fixed rule would miss, such as a chamber that drifts every night shift or a lane that runs warm. It never sets a threshold, raises or clears an alert, or decides the disposition of exposed stock.
Who signs off
A named person decides whether exposed stock is saved, quarantined or released, and signs off any escalation that follows.
What changes day to day
The operator shifts from finding the break at the rejection to catching it while the stock can still be saved; the cause is recorded as it happens instead of being argued later; the blind spot between the excursion and the discovery closes.
Illustrative outcome
More breaks caught in time to save the load; recorded cause at the moment of the event instead of a later dispute.
Illustrative; final numbers come from your own data.
Path to the build
Book a free 60-minute call, then a free Blueprint on the firm's own records. Deep-dive and build, followed by run and govern so the workflow keeps paying back.
Related builds
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