Watch the pallet, not just the room.

The problem: variation inside the pallet

In the cold chain for perishable goods like fruit, a single temperature reading from a room or truck is not enough. Real variation happens inside the pallet, driven by stacking density, blocked airflow and how close the cargo sits to the refrigeration coils. That localised inconsistency is a primary cause of spoilage, and it quietly undermines quality assurance and margin for growers and distributors.

Monitoring at the pallet is what lets you:

• Remove the blind spot. Capture the real conditions the product actually experiences.
• Catch degradation early. Detect the swings that shorten shelf life before they show in the fruit.
• Protect high-value cargo. Make sure produce reaches international markets in the condition it left in.

Precise sensors, in the cargo

The answer is rugged, battery-powered temperature sensors placed at pallet level:

• Continuous coverage. They monitor temperature and humidity around the clock, replacing infrequent manual readings.
• Immediate alerts. Tied to the smart trigger engine, they send an SMS or app notification the moment temperature drifts past a critical threshold, so corrective action can be quick.
• Long-range, low power. NB-IoT and LoRa let the sensors report across long distances and long trips without draining the battery.

The cloud platform as the QA hub

A cloud platform is where the scattered sensor data comes together:

• One place for everything. Logistics managers check product health from anywhere, at any time.
• Automatic, auditable logging. Every reading is stored with a timestamp, building the tamper-proof record HACCP and QA reporting need.
• Room to grow. New monitoring points, such as flow or pressure sensors, slot in as operations change, so the system does not date.