Industrial automation in business – production, warehouse, processes

Industrial automation means controlling machines, production lines and warehouse equipment with sensors, PLCs, robots and control systems, delivered by system integrators. For a small or mid-sized business, though, the faster return often comes from digital automation of everything around the machines: orders, stock movements, production planning and data passed between systems.

In brief:

• Industrial automation (PLCs, robots, SCADA) changes the physical work of machines; an integrator delivers it.
• Business process automation connects your online store, warehouse, accounting and production through software, cheaper and faster.
• Warehouse automation starts with barcodes and a single stock record, not with robots.
• What to automate first depends on time × frequency × error rate, not on trends.

What industrial automation is

Machines and equipment perform and check operations on their own, following programmed logic and sensor data; people set up the process, supervise it and handle exceptions.

The international standard ISA-95 (IEC 62264) splits a company into five levels:

Levels 0–2 (plus SCADA supervisory systems between levels 2 and 3) are the domain of industrial automation: electrical work, PLCs, robotics, machine safety. Levels 3 and 4 are software and data, and connecting them is where most businesses get stuck.

According to the International Federation of Robotics (IFR), manufacturing worldwide averaged 132 industrial robots per 10,000 employees in 2024; the EU average was 231 and Germany reached 449.

Industrial automation vs. business process automation

Both are called automation, but they are different projects, suppliers and budgets:

To be transparent: Weboptim does not do industrial machine automation (PLCs, robotics, electrical installation). If you need an industrial automation supplier, look for a system integrator with references in your sector. We handle the right-hand column: business process automation and connecting systems that don’t talk to each other today.

Manufacturing automation: where to start without robots

People picture manufacturing automation as a robotic arm. In smaller plants, the bigger losses are often elsewhere: an order is retyped from email into a spreadsheet, the supervisor has no up-to-date plan, and missing material shows up only at the start. Data-level automation usually covers:

• Digital job sheet: an order from the online store or CRM creates a job with its bill of materials.
• Job planning and status: a web app or MES shows queued, ongoing and finished jobs.
• Machine data collection: part counts, downtime and faults are recorded automatically (from the PLC via an industrial gateway), not on paper.
• Quality control: a tablet form with a photo and measurements instead of paper.
• Automatic alerts: an email to the customer when the job is done, a message to purchasing when material runs low.

Production is often measured with OEE (availability × performance × quality), which small firms without data collection can only estimate.

An illustrative example (a fictional company, not our client): a 15-person metal shop keeps enquiries in email and jobs in Excel. The first step is not a robot but an enquiry form linked to the job list, automatic confirmations and a workload overview for the supervisor. Only months of data will show which machine is the bottleneck and whether industrial automation pays off there.

Warehouse automation step by step

Warehouse automation has several levels, each building on the previous one. Robots on top of unreliable stock records won’t fix the problem, they will only speed it up.

1. 1One stock record: a single system (an ERP system stock module, a WMS or your e-commerce platform) holds the stock, not three spreadsheets.
2. 2Barcodes or QR codes: receiving, picking and stocktaking via a scanner or phone reduce manual entry errors.
3. 3Connected systems: an online order lowers stock, issues an invoice in accounting and creates a shipment with the carrier without retyping.
4. 4Rules and alerts: when stock falls below the minimum, a purchase order draft is created.
5. 5Mechanisation and robotics: conveyors, automated storage systems or autonomous mobile robots (AMRs). This is industrial automation and a project for an integrator.

An illustrative example: a fictional coffee online store with 300 orders a month deducts stock by hand and retypes addresses into the carrier’s system. Steps 1–4 can be covered by software and an API connection; at this volume, a robotic warehouse would never pay for itself.

How to decide what to automate first

The best candidates are repetitive, rule-based tasks that cost time or cause errors. An afternoon exercise:

1. 1List 10 recurring tasks in the warehouse, production and admin (receiving goods, creating jobs, invoicing, reports).
2. 2Estimate time and frequency for each: how many minutes, how many times a week.
3. 3Add the error rate: where complaints, wrong stock levels or late deliveries come from.
4. 4Calculate the saving: hours per month × hourly labour cost. Compare it with the cost of the solution over 12–24 months; that is the basis of ROI.
5. 5Start with one task with the highest saving and lowest risk, measure the result, then continue.

A model calculation: three people spend 20 minutes a day retyping orders. That is about 22 hours a month (3 × 20 min × 22 days). At €20 per hour, that is €440 a month, over €5,000 a year. Now you know how much a solution may cost to be worth it.

Risks people forget

• Bad data: automation speeds up errors too. Unify product codes, units and master data first.
• Vendor lock-in: make sure you can export data from the WMS, ERP or MES and the system has a documented API.
• Security: connecting machines to the network and the internet opens new risks. Separate the production network from the office network and plan cybersecurity from day one.
• People: a process the team doesn’t understand, or works around, will fail. Involve the people who do the work today.
• Unchecked AI: AI can sort emails or read delivery notes, but a human must check exceptions in numbers and orders.

How we can help and when to bring in a specialist

Bring in a specialist when automation spans several systems, you don’t know whether your ERP or store has an API, or you need a custom tool.

Weboptim connects online stores, warehouses, accounting and CRM systems through APIs and tools such as n8n or Make (compared in n8n vs Zapier vs Make), builds internal web applications for job and stock planning, and sets up a CRM system. We don’t program PLCs or robots, but we can agree interfaces with your machine integrator. Describe your process via our contact form and we will suggest where to start.