From idea to operation

Industrial IoT Consulting: From Feasibility Study to a System Your Team Can Run

Vendor-neutral IIoT consulting from requirements and feasibility to architecture, device selection, proof of concept, integration with business systems and documented handover.

Abstract technical illustration of a layered IoT architecture with sensors, connectivity, data platform and links to business systems

Many IoT projects stall not because of technology but because of vague requirements, rushed hardware choices or no plan for what comes after the pilot. Sensors get installed, a dashboard is built, yet the data never connects to a real business process.

As an independent IIoT consultant, I work alongside your team so the project is defined properly from the start: which problem is being solved, whether it is technically and economically feasible, which architecture and devices fit, and how the data reaches existing systems such as ERP, maintenance and workflow tools. I am vendor-neutral, and my aim is a system you can maintain without depending on me.

Industry challenges

Vague requirements

The goal is "digitalization", but it is unclear which decision or process the data is supposed to improve.

Catalogue-driven hardware choices

Sensors are chosen from datasheets alone, ignoring real battery life, environmental conditions and the manufacturer's product roadmap.

Pilots that never scale

Proofs of concept run without success criteria or an extensible architecture, leaving no clear next step.

Data islands

The IoT platform runs separately from ERP, maintenance and workflow systems, so data is copied across by hand.

Contractor lock-in

Documentation is missing and every small change depends on the original contractor.

Technical solutions

Requirements and use cases

A workshop with stakeholders to define the problem, the data consumers, success metrics and project scope.

Technical and economic feasibility

Assessment of connectivity, power supply, installation conditions, total cost of ownership and risks before anything is purchased.

System architecture

Design of the sensor, connectivity, edge, platform and integration layers with standard interfaces such as MQTT and REST.

Vendor-neutral device selection

Comparing sensors and gateways by battery life, IP rating, radio range and manufacturer roadmap, not by datasheet alone.

Proof of concept with clear criteria

A small-scale pilot with acceptance criteria agreed in advance and an honest report on what worked and what did not.

Integration and handover

Connecting events and data to Odoo, maintenance systems or n8n, and handing over architecture, configuration and operating documentation.

Engagement phases and deliverables

Each phase has a defined deliverable, after which you decide whether to continue, adjust or stop. This structure prevents investing in an idea before it has been tested.

PhaseKey questionDeliverable
RequirementsWhich problem, and for whom?Requirements document and success criteria
FeasibilityIs it technically and economically viable?Risk report and total cost estimate
ArchitectureHow do the components fit together?Architecture diagram and technology list
PilotDoes it work under real conditions?Pilot report and scale-out decision
Rollout and handoverCan the internal team run it?Documentation, training and formal handover

The layered architecture principles I apply are explained in the article IoT system architecture.

Device selection beyond the datasheet

A sensor that looks perfect on paper may fail early in a damp pit or next to a vibrating motor. When selecting devices I weigh these factors together:

  • Real battery life: based on reporting interval and on-site radio conditions, not the catalogue maximum
  • IP rating and operating temperature: matched to dust, humidity and wash-down conditions
  • Range and coverage: verified by field tests at critical points
  • Manufacturer roadmap: firmware support, decoder availability and risk of discontinuation
  • Network: public or private LoRaWAN, NB-IoT or wired, chosen per project without presuming an operator

Integration with business systems

IoT data creates value once it reaches a process. Some common patterns:

  • An alarm in ThingsBoard that creates a maintenance request or ticket in Odoo via n8n
  • Equipment operating hours passed to the maintenance system for usage-based service planning
  • Periodic consumption reports generated automatically and sent to finance or management

Integration also raises questions of ownership and security: who may write data into the ERP, how credentials are stored, and what happens when one system is unavailable. I document these interfaces explicitly, including error handling and retries, because they are typically the first thing to break after a software update.

For organizations at the beginning of this journey, the article digital transformation in traditional industries is a good starting point.

Frequently asked questions

Do you sell hardware?

No. My role is consulting, design and implementation support, and I recommend devices based on project needs, independent of brand. You buy from the supplier of your choice.

Do you only advise, or also help with implementation?

Both. I can support only the definition and architecture, or work alongside your team or the installation contractor on platform configuration, integration and testing.

Where does a project usually start?

With an initial call followed by a requirements workshop. The result is a short document covering the problem, a proposed architecture, risks and a pilot proposal.

How does ERP integration work?

Usually through APIs or a workflow tool such as n8n; for example, an alarm in the IoT platform automatically creates a maintenance request in Odoo. The details depend on your existing systems.

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Further reading

Planning a smart solution project?

Describe your situation — existing equipment, sites and goals. You will receive an honest first assessment of sensible next steps.