CoolDat® — autonomous cold-chain evidence

COOLDAT®

Helping food QA Managers get destination-specific cold chain data.

Getting destination-specific cold chain data at high resolution — for each destination, including within the end-customer infrastructure, whether a commercial or a residential kitchen — makes it possible for food producers to better synchronize what gets made, when it gets made, how it is packaged, where it goes, and ultimately, the resulting profit margins and the opportunities for upcycling or diversion.

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  • •Item-level temperature logging
  • •RFID tag streaming over MQTT
  • •Predictive shelf-life ready data

FLAGSHIP USE CASE — TIME ABOVE SET-POINT

End-to-end excursion evidence for destination-specific best-before dates

Item-level temperature history with min/max set-points, alarms, and out-of-range intervals captured across the full journey — from producer to commercial or residential kitchen.

CoolDat® dashboard evidence trail — temperature chart with min/max set-points, highlighted out-of-range intervals, alarms, and timestamped excursion durations
  • •Per-item chart with min/max thresholds and highlighted excursions
  • •Resolved-state alarms with trigger and resolution timestamps
  • •Out-of-range intervals table: start, end, duration, and peak temperature

Product Demo

Cooldat® in action

COOLKIT BUNDLE

Cooldat® is sold as a 5-element Coolkit

ITEM 1

CoolTag

Tag profile
33 × 100 mm label with printed battery, programmable in Zebra ZT411RFID and armed by QDatFX or QDatDroid.
Runtime
Up to 3 months autonomy with selectable logging intervals from seconds to hours.
Temperature range
-35 °C to +35 °C with up to 4096 logs retrievable even after battery depletion.
Alarm behavior
Alarm state can be detected without downloading the full tag log.
Protocol
RAIN RFID.
Standard quantity
50 CoolTags in the standard CoolKit.
CoolTag Axzon AZN5201 Peel'n'Stick
Full CoolTag specifications

Autonomous RFID Temperature Data Logger Label — Reference: Axzon Opus 5201 Datalogger

ITEM 2

EcoTag for item-level food package tagging

Dimensions
24 × 94 mm Beontag 3004387 format for insertion into customer labels.
Sustainability
Designed as a sustainable RFID tag for high-volume food packaging use cases.
Protocol and quantity
RAIN RFID, with 1200 EcoTags in the standard CoolKit.
Beontag Eco Bumper EcoTag

Sustainable RFID Food Label — Reference: Beontag Eco Bumper

ITEM 3

Reader hardware by deployment role

Food producer
1 × Zebra FX or RFD40 Premium or TC22R (fixed or handheld deployment).
Food retailer
1 × Zebra EM45 mobile RFID phone.
Coverage model
Use fixed readers for checkpoints and mobile readers for workflows and exception handling.
Zebra FX7500 fixed RFID readerFX7500
Zebra FX9600 fixed RFID readerFX9600
Zebra EM45 mobile RFID phoneEM45
Zebra RFD40 handheld readerRFD40
Zebra TC22R handheld readerTC22R

ITEM 4

Reader software: QDatFX and QDatDroid

Fixed readers
CoolTag arming and QDatFX workflows for the planned CoolTag quantity.
Handheld and mobile
CoolTag arming and QDatDroid workflows for the planned CoolTag quantity.
Any reader mode
CoolTag streaming, EcoTag streaming, and MQTT alarm/event streaming with unlimited tag streams.

Graph Comparison

Same temperature history, two operating contexts

The backend view is optimized for supervisory analysis, while the mobile view is tuned for field operators on-device.

Dashboard

QDat.io

Backend
QDatFX backend graph view with temperature readings

Mobile

QDatDroid field graph

On device
QDatDroid mobile graph view for logger data

QDatDroid

QDatDroid mobile main screen

Mobile tag list

QDatDroid arming workflow

Mobile chart view

QDatDroid mobile sensor log table

On-device logger details

QDatFX running on Zebra FX Readers (FX9600 and FX7500 as a DApp)

QDatFX RFID tags dashboard

Tag inventory and state

QDatFX chart view with temperature readings

Chart view for log analysis

QDatFX table with timestamped temperature logs

Table view for traceability

Backend Support Views

Provisioning and trace evidence around the fixed-reader workflow

These views show the platform context around reader setup and downstream sensor evidence.

Reader Provisioning

QDat.io provisioning in the dashboard

QDat.io reader provisioning view

QDat.io

Sensor logs in the dashboard

QDat.io sensor logs view

ITEM 5

CoolDat® cloud backend options

MQTT option 1
Docker images on Google Cloud using open-source EMQX.
MQTT option 2
Managed AWS IoT Core.
Database option 1
Docker images on Google Cloud using open-source TimeScale DB.
Database option 2
Managed AWS database stack.
API
RESTful and MCP interfaces for integration and AI agents.
Optional AI roadmap
QCoolDat predictive shelf life (Q1 2026) and QRecover predictive margin recovery (Q2 2026).

Discuss your Cooldat® deployment

Book a demo

INITIATIVE SPOTLIGHT

Cooldat® enables Food Scientists to get high-resolution cold-chain data

Cooldat® provides structured item-level cold-chain data to support predictive shelf-life efforts, such as FreshI.org from Cintech.

Visit FreshI.org

Cooldat® is a Canadian registered trademark #1,412,371 of Meerv Inc.