/industries/journeys

Industry journeys that start with the floor decision

Use these factory, food, industrial-agriculture and warehouse frames to see the decision points, data flow, existing systems, owners and constraints before an assessment.

This is planning content, not a customer story, benchmark or outcome guarantee — the real scope must be verified through a site survey and project evidence.

factory

Factory and production line

A framing tool for quality and machine conversations, not a substitute for a site survey.

1 · Define the decision
Decision point
When should the line release a part, stop, or send it to a human review queue?
Data flow
Work order/part ID → image or sensor signal at the station → an explainable result for review.
Existing systems to connect
PLC, MES, QMS and the line's existing screen (confirm model and protocol on site).
Decision owner
Quality and process engineering together; IT/OT approves the connection.
Constraints to verify
Lighting, changeovers, belt speed and traceability rules must be measured before choosing an approach.
2 · Pilot a bounded scope
Decision point
Choose one station, one work type and an acceptance rule the floor team reads the same way.
Data flow
Labelled samples → processing inside the agreed boundary → human confirmation queue → versioned record.
Existing systems to connect
Start with an export or test endpoint from the current system; do not write into MES/QMS first.
Decision owner
The process owner signs acceptance; operations records exceptions.
Constraints to verify
A pilot is not a customer guarantee; do not publish a KPI without a reproducible method.
3 · Prepare to operate
Decision point
Who may change a threshold, roll back a model, or stop the system when data is abnormal?
Data flow
Line event → log/alert → named owner → remediation evidence and the next review.
Existing systems to connect
Existing alerting and the runbook remain the source of truth; do not create an ownerless dashboard.
Decision owner
The production lead decides on the floor; IT/OT owns runtime and access.
Constraints to verify
Lighting, camera maintenance and model drift need named work in the real go-live plan.

Digital Twin: Digital Twin is learning and future-readiness only; there is no site-specific evidence to treat it as a live-system replacement.

food

Food and beverage

Start with repeatable work under real washdown conditions, with food safety approving the boundary.

1 · Separate critical control points
Decision point
Which point is an assistive quality check, and which is a CCP that still requires the existing HACCP step?
Data flow
Lot/label → fill-level or foreign-object image → result → human sign-off before lot release.
Existing systems to connect
Filling equipment, line PLC, lot/traceability system and GMP/HACCP records.
Decision owner
QA/food safety owns the rule; production and maintenance approve the installation point.
Constraints to verify
IP rating, food-grade stainless, steam and high-pressure washdown need real samples and inspection.
2 · Validate without replacing the CCP
Decision point
Which result enters review, and which one stops the line under the current SOP?
Data flow
On-site image/signal → edge processing → explainable flag → lot and reviewer record.
Existing systems to connect
Begin read-only from traceability or quality logs before writing back.
Decision owner
QA signs off the method and exceptions; the shift lead owns the action.
Constraints to verify
The model must not replace the authorised food-safety release decision.
3 · Tie it to washdown and audit
Decision point
Who checks the camera/light after washdown, and when must automated output be suspended?
Data flow
Washdown cycle → equipment checklist → health signal → retrievable audit record.
Existing systems to connect
Use the existing CMMS or QA checklist for maintenance records.
Decision owner
Maintenance owns the equipment; QA checks evidence completeness before an audit.
Constraints to verify
Light and steam vary by shift, so test more than one period; a demo is not a substitute.

Digital Twin: Digital Twin is a learning topic for future process-data integration, not evidence that it controls food safety.

agri

Industrial agriculture and greenhouses

Frame the path from field/greenhouse to grading without inventing yield or accuracy figures.

1 · Name the grower's decision
Decision point
When should irrigation, grading, or an in-person field check happen?
Data flow
Plot/greenhouse and time → image/temperature/humidity → alert → recorded action.
Existing systems to connect
Plot register, greenhouse controller, weather station and the existing ERP/harvest record.
Decision owner
The farm lead or agronomist owns the rule; the field team confirms events.
Constraints to verify
Intermittent connectivity, weather, camera angle and sensor calibration change by season.
2 · Trial without taking control from people
Decision point
Start with alerts or recommendations, with a named condition requiring human approval every time.
Data flow
Edge-node data → offline buffer → sync when connected → plot-owner review.
Existing systems to connect
Use an existing export/API or daily file first; do not bind directly to a controller immediately.
Decision owner
The plot owner validates labels and actions; the data team checks completeness.
Constraints to verify
One season's data cannot stand in for another; there is no publishable yield-prediction evidence here.
3 · Plan the long tail
Decision point
Who maintains batteries, connectivity and sensors, and reviews rules when crop or practice changes?
Data flow
Health check → missing-data alert → field visit → calibration and version record.
Existing systems to connect
The existing field runbook and maintenance schedule remain the shared evidence.
Decision owner
The farm operations lead schedules work; IT owns equipment and remote access.
Constraints to verify
There must be a no-signal plan and a rollback that field staff can actually perform.

Digital Twin: Digital Twin is learning/future-readiness for future farm simulation, not a validated model.

warehouse

Warehousing and logistics

Focus on where data is lost between receiving, put-away, picking and dispatch, without claiming unmeasured savings.

1 · Choose the hand-off to see
Decision point
Do you need to verify receiving, put-away location, carton condition, or truck loading first?
Data flow
SKU/dispatch note → image or barcode → result → WMS event for human confirmation.
Existing systems to connect
WMS, barcode/RFID, CCTV and the existing dispatch system.
Decision owner
The warehouse lead owns the workflow; IT/WMS approves fields and integration.
Constraints to verify
Racking occlusion, uneven light, forklift speed and PoE/Wi-Fi limits need a real survey.
2 · Let people confirm exceptions
Decision point
Which cases create an exception, and who may correct quantity/location in the WMS?
Data flow
Scan point → edge result → exception queue → reviewer confirmation → audit trail.
Existing systems to connect
Start with a staging or separate queue before granting write-back access to WMS.
Decision owner
The shift lead approves exceptions; the WMS owner checks permissions and records.
Constraints to verify
Do not present a trial as inventory truth until it reconciles with the existing system.
3 · Operate across layout changes
Decision point
Who updates the zone/map after a move, and when must cameras and barcodes be retested?
Data flow
Layout/equipment change → scan-point test → config update → smoke check and version record.
Existing systems to connect
Existing change control and maintenance tickets are the gate before activation.
Decision owner
The warehouse manager signs off operations; IT/maintenance owns runtime and network.
Constraints to verify
Long cable runs and camera angles change with the layout, so budget and maintenance must be explicit.

Digital Twin: Digital Twin is learning/future-readiness for warehouse-layout simulation, not an operationally validated simulation.

Follow the journey

Use these pages as decision references; each one states its own scope and evidence boundary.

Industry journeys that start with the floor decision

Factory and production line

1 · Define the decision

2 · Pilot a bounded scope

3 · Prepare to operate

Food and beverage

1 · Separate critical control points

2 · Validate without replacing the CCP

3 · Tie it to washdown and audit

Industrial agriculture and greenhouses

1 · Name the grower's decision

2 · Trial without taking control from people

3 · Plan the long tail

Warehousing and logistics

1 · Choose the hand-off to see

2 · Let people confirm exceptions

3 · Operate across layout changes

Follow the journey