Food & Beverage AI agent · Cold chain

Cold-Chain Monitoring AI Agent

Watch the readings against the limits your plan already sets, raise an excursion with the sensor's own health attached, and hold the lot for the qualified person who dispositions it.

Typical delivery
4–6 weeks
Deployment
Your stack
Person releases
Hold by default
After launch
Agent Care

What this agent does

Raises the excursion, never the verdict

In

  1. 01

    Where readings come from — trailer, chamber and probe telemetry, or a carrier's own logger export.

  2. 02

    When units or labels differ by asset, normalised, each reading kept with the sensor it came from.

Reason

  1. 03

    Where a reading sits against the limits in the customer's own plan, not against a vendor default.

  2. 04

    When an excursion opens, the lot, lane and shipment it touches are identified and attached.

  3. 05

    Where the record has gaps, silence is marked as a gap rather than read as a lane with no event.

Decide

  1. 06

    When a probe drifts, stalls or disagrees with its neighbours, the sensor itself is flagged.

  2. 07

    Where a lot is affected, it defaults to hold and routes to the named qualified person.

Out

  1. 08

    When the file closes, the readings, the excursion, the basis and the disposition are retained.

  2. 09

    Where writes are configured, they run only inside the boundaries agreed at implementation.

Product statement

The agent watches and evidences; a named qualified person dispositions the lot, and the shipper, carrier and receiver each keep their own duty.

Example workflow

One excursion, reading to disposition

  1. 1Readings receivedTrailer, chamber and probe telemetry, or a carrier's own logger export
  2. 2Context assembledLimits, lot, lane, sensor health and the readings either side of it
  3. 3Excursion raisedReadings, duration, lots affected, confidence
  4. 4Controls appliedReading checks against the plan's own limits, sensor-health checks, hold-by-default and confidence threshold

No human action required

Stages 1 to 4 run unaided, and nothing is released at any of them — the lot is held, and the qualified person's lane opens at the confidence gate.

5DecisionBranches at the confidence threshold
High confidence

Goes to the qualified person to disposition.

Low confidence

Adds a sensor-integrity read first.

Qualified-person disposition

The lot is held with its readings, the sensor's health and the confidence.

Disposition · Hold · Send to quality review

Dispositioned — the lot may move

  1. 6Quality and warehouse systems updatedOnly where write access and approval policy allow it
  2. 7Outcome evaluatedDisposition outcomes, false excursions, sensor faults found and findings raised after delivery

Dispositions

Every disposition a person made is counted in the evaluation.

What should not run autonomously

Human approval stays in control

Outside the boundary — human approval required

8 items

  • Releasing a lot that is being held for review.
    • Declaring that a food is or is not adulterated.
    • Closing an excursion without a qualified person.
    • Deciding whether the affected product may be sold.
  • Automation boundary

    Agent acts unaided

    • ✓Watch the readings against the limits the plan already sets for the named owner.
    • ✓Raise an excursion and default the affected lot to hold.
    • ✓Assemble the readings, the gaps and the sensor's own health.
    • ✓Carry the whole file to the named person who decides it.

    Any write happens inside the boundaries agreed at implementation, and never to a controller.

    • Writing a setpoint to a refrigeration controller.
    • Specifying the operating temperature for a load.
    • Assessing at the dock whether abuse was significant.
  • Changes to limits, hold rules or release authority.

Example output

One excursion, annotated

Everything the agent raises is attached to the readings it was drawn from.

Excursion output · single lot

Illustrative example
Lot
Chilled lane, one pallet
What was observed
Trailer air ran above the plan's limit during a multi-stop drop
Time above limit
42 minutes
Limit on the plan
Set by the customer's plan
Confidence
89%
Sensor health
Probe last calibrated, in range

As received

Taken from the trailer telemetry and the customer's own limits — nothing on this side is written by the agent.

Source records used

  • Trailer telemetry
  • Probe calibration
  • Shipper's written spec

Why it stops here

The reading is a fact; whether the food is adulterated is a conclusion the law.

What the score decides

Below the configured threshold the lot picks up a sensor-integrity read first.

Action

DispositionHoldSend to quality review

Value

Where AI adds value

The same four claims, placed at the point in the workflow where each one applies.

Where the value lands

Value 01 – 04

Every reading

From the lane's own sensors

03Monitoring

Watch against the plan

Draw on the readings, the customer's own limits and the probe's calibration history — monitoring indicates a condition, and the refrigeration is what maintains it.

01Approved path

An excursion is not a verdict

Routine lanes run watched, logged and evidenced without anyone reading a chart.

02Human review

Send the qualified person to the holds

If a lot moved and a problem surfaced after delivery, the trail shows the readings, the sensor's health, and who released it on what basis.

04

Build an evidence trail

The excursion, the readings behind it and the qualified person who dispositioned it stay with the lot.

Integrations

Typical integrations

Five system groups connect to the same agent. Which of them are in scope is decided in discovery.

  • Sensor and logger platforms

    • Sensitech
    • Emerson
    • Controlant
    • Tive
  • Transport and telematics

    • Samsara
    • Motive
    • Reefer telematics
    • logger exports
  • Warehouse and inventory

    • Manhattan
    • Blue Yonder
    • WMS
    • lot and hold status

Agent

Cold-chain monitoring

  • Reads the sensors
  • Raises the excursion
  • Holds for disposition
  • Documents and records

    • Sensor feeds
    • logger exports
    • Lot records
    • disposition logs
  • Observability & evaluation

    • OpenTelemetry
    • Langfuse
    • Supported monitoring/evaluation sources

Integration availability depends on the client's existing systems and API access.

Agent controls

Six layers between the model and the lot

Every control encloses the next. What survives the set is named in the map below.

L6 · Outermost — last line of defence

Inward → L1 · closest to the model

L6Rollback / safe modeFall back to raw temperature reporting when evaluation or production signals degrade.Roll back
L5Version monitoringTrack model, prompt, limit-set and lane-config changes.Track
L4Lot trailRecord the readings, the excursion, the sensor's health and the disposition.Record
L3Qualified releaseHold the lot for a named qualified person; the hold governs movement, not whether the food is sound.Gate
L2Hold-by-defaultTest every disposition path against the held-act list; the default is hold, and release is an attributed act by a person with a stated basis.Restrict
L1Confidence thresholdsRoute low-confidence excursions to a sensor-integrity read first.Require review
Model coreExcursion raised — readings, duration, lots affected and confidence
L1 – L2
Test whether a lot may move
L3
Puts the disposition in a qualified person's hands
L4 – L5
Hold the readings the excursion rests on
L6
Falls back to raw temperature reporting when signals degrade

How Nestack evaluates it

Evaluate the monitoring workflow — not only the excursion that alarmed.

Coverage runs the whole depth of the workflow, and every layer is cut by slice.

Surface — the excursion quality reads

  1. E1Final-output evaluationDid every raised excursion match the readings behind it?
  2. E2Step-level evaluationDid the agent use the right limits, lot and sensor history?
  3. E3Tool evaluationDid it read and write the correct lot and the correct lane?
  4. E4Confidence calibrationDo low-confidence excursions actually attract more sensor faults?
  5. E5Slice evaluationHow does performance change across specific lane types?
  6. E6Business outcomeHow many lots needed a re-disposition, or a finding after delivery?

Floor — the lot the firm answers for

Failure modes

Where each failure originates in the agent

Seven ways an excursion goes wrong, placed by stage.

Agent lifecycle

Direction of processing →

  1. 01 · Retrieval

    1 mode

    • BR-03

      Degraded sensor trusted

      A drifting probe is read as though it were in calibration.

    Stage gathers

    Readings, limits, lot and lane, and probe calibration

  2. 02 · Reasoning

    2 modes

    • BR-04

      Excursion read as verdict

      A reading outside a limit is written up as adulterated product.

    • BR-06

      Duty put on one party

      One party is named responsible where the rule splits the duty.

    Stage proposes

    Excursion, readings, lots affected and confidence

  3. 03 · Tool / write

    2 modes

    • BR-02

      Held lot moved

      A held lot moves on before a person dispositioned it.

    • BR-05

      Duplicate excursion

      One temperature event is raised twice against the same lot.

    Stage writes

    Only where write access and approval policy allow it

  4. 04 · Output

    1 mode

    • BR-01

      Excursion never raised

      A gap in the readings passes as a lane with no event.

    Stage returns

    The excursion a qualified person dispositions

  5. 05 · Change / Version

    1 mode

    • BR-07

      Silent threshold drift

      A model or limit change widens what the agent will pass.

    Stage tracks

    Model, prompt, limit sets and lane configuration

  • Sev-1 · a held lot moved
  • Sev-2 · an excursion was never raised
  • Sev-3 · sensor degrades, lot routes to review
See the complete Food & Beverage failure-mode catalogue

Affected slices

One lane can carry the whole excursion rate

The under-counted slice is the probe that drifts rather than fails: it never alarms, so its lots never reach the excursion total at all. Nestack reports the re-disposition rate by slice, not only in total.

Slice performance — reported separately, not only in aggregate

Illustrative example
SliceFailure rateLiftLift vs. thresholdStatus
Sensors drifting, not failing9.7%3.4×Review
Multi-stop delivery lanes6.6%2.3×Review
Loading and dock transfers4.6%1.6×Watch
Single-leg refrigerated lanes2.0%0.7×Normal

Bar: re-disposition-rate lift vs. single-leg-lane baseline · scale 0–4.0× · tick marks the 2.0× review threshold

2 of 4 slices over threshold

Evidence-linked improvement

Every cycle ends in a standing case

The loop closes on a case the next release must pass, not on an explanation. That suite is what the next excursion raised on a lot is measured against.

Improvement cycle · five stages

Switchback — the path turns at Improve and returns at Learn

  1. 01

    Detect

    Re-disposition rate rises in a lane slice.

  2. 02

    Diagnose

    Which lane, which asset, which probe? The readings and the excursions raised off them are read until the cause narrows to one.

  3. 03

    Improve

    The fix is versioned with the excursions that motivated it.

  4. 04

    Verify

    Nothing ships while an affected case is failing.

  5. 05

    Learn

    The case is added for good, and the disposition rules change.

  6. Learn → Detect

    The return edge. The next excursion meets a suite one case longer.

Typical build scope

Twelve workstreams across six weeks

The build scope read against the delivery timeline. Week structure follows the six-week plan — discovery, sources, monitoring workflow, evaluation, integration, then production validation and handover.

Workstream

Week 1Week 2Week 3Week 4Week 5Week 6

  1. 01Cold-chain workflow discovery and boundary definition with quality.Week 1
  2. 02Sensor, telematics and WMS assessment.Week 1, Week 2
  3. 03Limit sets, lane mapping and release-authority mapping.Week 1, Week 2
  4. 04Reading ingestion and normalisation.Week 2
  5. 05Excursion logic and lot binding.Week 2, Week 3
  6. 06Confidence scoring and hold routing.Week 3
  7. 07Qualified-person disposition workflow.Week 3, Week 4
  8. 08Sensor-platform and WMS integration.Week 5
  9. 09Hold-default and sensor cases.Week 4, Week 5
  10. 10Guardrails and disposition controls.Week 4
  11. 11Lot-trail instrumentation.Week 5, Week 6
  12. 12Deployment, documentation and Agent Care handover.Week 6

12 workstreams · 6 weeks · bar shows the weeks a workstream is active — several run in parallel

Final scope and sequence confirmed in discovery

Engagement tiers

What each tier includes

Rows are the capabilities named in each tier's scope. Higher tiers include everything below them.

Capability✓ in scope · — not at this tierPilotOne lane, one siteProductionProduction sensor platformsAdvancedMultiple sites / carriers
Introduced at Pilot
Monitoring to your limits and lots✓✓✓
Qualified-person disposition✓✓✓
Detection-quality baseline✓✓✓
Introduced at Production
Reporting by lane and asset—✓✓
Disposition workflow in your systems—✓✓
Approved write-back—✓✓
Sensor-platform integration—✓✓
Introduced at Advanced
Multi-party transport rules——✓
Multi-stage quality approvals——✓
High lane count——✓
Multi-site cold-chain controls——✓
Build priceFrom $5,000From $8,000Custom quote
Final build price
Confirmed after discovery based on integrations, workflow complexity, lane count, approval controls and deployment requirements.
Separate from build
Build pricing is separate from recurring Agent Care, which covers managed monitoring, evaluations, incidents and verified improvements after launch.

What we need from you

What you bring, and what we build with it

Each input maps to a piece of build scope and a week in the delivery timeline.

  1. 01Your lanes and the sensors already on them

    Reading ingestion and lane mapping

    Week 1
  2. 02Representative excursions you have held

    Detection baseline, limit extraction and lot binding

    Week 2
  3. 03Your limit sets and who may release a lot

    Limit sets, lane mapping and release-authority mapping

    Week 1
  4. 04Access to relevant APIs, feeds or exports

    Sensor, telematics and WMS assessment, then integration setup

    Week 2
  5. 05Lots you would not want released

    Hold cases and the evaluation suite

    Week 4
  6. 06What must reach a qualified person before a lot moves

    Confidence scoring, hold routing, guardrails and disposition controls

    Week 3
  7. 07Named qualified people to disposition lots

    Disposition workflow, then pilot and production validation

    Weeks 5–6

Nothing else is required

Deployment, documentation and Agent Care handover are ours.

Delivery timeline

Four phases across six weeks

Each phase occupies the weeks it needs, so the fifth week carries two kinds of work.

Phase

W1

W2

W3

W4

W5

W6

  1. DiscoveryW1
  2. BuildW2 – W3
  3. EvaluateW4 – W5
  4. Pilot & LaunchW5 – W6

Week focus

W1Cold-chain discovery, limit mapping and the automation boundary

W2Sensor integration and the detection baseline

W3Monitoring workflow, confidence logic and hold controls

W4Hold cases, held-act guardrails and failure-mode testing

W5Sensor and WMS integration, pilot lanes and targeted corrections

W6One shipping season monitored under quality, then handover

Reading the band
The bars follow real work rather than a plan, which is why week 5 carries two kinds rather than padding.
At the end of W6
The season closes validation and Agent Care assumes monitoring.
Duration
Six-week plan shown · typical delivery 4–6 weeks depending on scope confirmed in discovery.

Next step · Food & Beverage AI agent

Build a cold-chain agent that holds the lot and hands you the file.

Show us a lane, its sensors and your limit sets. Who releases a held lot at two in the morning, and on what basis — the shipper who set the operating temperature, the carrier who must demonstrate it, or the receiver at the dock? We build the boundary around that answer.

Typical delivery
4–6 weeks
Deployment
Your lanes
Person releases
Hold by default
After launch
Agent Care available

Nestack Agents · Cold chain

AGT-FB-10 · Agent Care available after launch

Build a cold-chain agent

Four questions so the call starts from your actual setup — then pick a time that suits you.

About you
Your lanes

No obligation. We’ll map the workflow, name the automation boundary and tell you if an agent is the wrong answer.