There’s no single test for whether a palletising operation is ready to automate, but there are patterns that come up consistently in operations that build a strong business case, and patterns in ones where the project stalls after the first site survey.
If most of the following signals apply to your operation, it’s worth talking to an integrator. If only one or two do, a process review or ergonomic upgrade might be the better first move. Either way, running your numbers through the automation ROI calculator gives you a realistic payback figure before you commit time to the process, give this a read if you want more of a guide on how to calculate ROI for a palletising cell.
You’re running more than 1 shift of palletising
Single-shift operations can take 2–3 years to pay back a robotic palletising system. That’s not a dealbreaker, a well-maintained robot cell runs for 10+ years, but it means the business case needs more careful construction and conservative assumptions to hold water.
Once you’re running 2 shifts, the maths change significantly. The same capital cost is now being spread across twice the annual saving, and payback periods of 12–18 months become achievable. By 3 shifts or 24/7 operation, automation is almost always worth exploring, the labour cost alone will usually cover a cobot cell inside a year.
Staff turnover at end of line is higher than elsewhere
Palletising is physically demanding. It’s repetitive, involves sustained lifting and reaching, and the environment at end of line is often noisier, more exposed to temperature changes, and less comfortable than other areas of the factory. If you’re losing people in that role faster than in others, you’re spending money on recruitment and onboarding that a robot doesn’t need.
The costs here are easy to underestimate. Advertising a role, interviewing, the time a supervisor spends onboarding a new starter, and the reduced productivity during the first few weeks, it’s easily £2,000–£5,000 per replacement hire, more if you’re using a recruiter. If you’re replacing a human palletiser every 3–4 months, that cost alone starts to show up in the ROI calculation.
You’ve had injuries or near-misses at the palletising station
Manual palletising sits in the higher-risk bracket for production floor activities. Back and shoulder injuries from repetitive lifting are common. If your RIDDOR data shows incidents at end of line, or near-misses have been flagged in safety reviews, automation stops being purely an efficiency conversation.
The business case gets easier to make when health and safety risk is part of it. A director who’s reluctant to approve a capital spend on productivity grounds tends to be more receptive when there’s a documented injury history in that area. Employer liability insurance implications, potential HSE enforcement, and the direct cost of managing injured employees on light duties, all of these belong in the conversation.
Your packing line creates a downstream bottleneck
If the palletiser is the slowest point in your operation, meaning product backs up waiting to be stacked, that’s not just an operational frustration. It’s a measurable cost. Lines running at reduced efficiency because end of line can’t keep up lose throughput that’s genuinely recoverable through automation.
The test is simple, time the rate at which product reaches the palletising station, and time the rate at which it leaves on a pallet. If the second number is consistently lower than the first, you have a bottleneck. A robot running at consistent speed, 7 days a week if needed, removes it entirely. The value of that recovery depends on your line economics, but in most production environments it’s non-trivial.
If you want to see if your throughput is suitable for a cobot palletising cell or if a more traditional, robot palletiser is the way to go, try our palletising throughput calculator.
You rely on agency staff to cover palletising
This is one of the clearest signals in the list. Agency workers for palletising roles typically cost 25–40% more per hour than direct employees when you factor in the agency margin. And their availability isn’t guaranteed, a factory that calls an agency on a Monday morning for afternoon cover is often taking what it can get rather than what it needs.
The other dimension is quality consistency. A direct employee who’s been palletising at your site for 6 months knows your pallet patterns, your product, and your line quirks. An agency worker on day one doesn’t. Errors at end of line, wrong pallet patterns, unstable loads, incorrect labelling, are more likely when the person doing the work is new.
You’ve turned down orders or extended lead times because of end-of-line capacity
If palletising throughput has directly cost you revenue, that’s a harder and more compelling business case number than any labour cost calculation. If you are having to turn down orders, losing work over extended lead times or finding customer relationships are being strained because you couldn’t deliver quick enough, these are direct commercial impacts of your palletising operation.
It’s also usually what moves operations managers from “considering automation” to actually commissioning a site survey. Operational frustration is one thing. Telling a sales director you lost a contract because you couldn’t palletise fast enough is another.
Your operators are building mixed pallet patterns manually
Mixed pallets, that is different SKUs on a single pallet for a retail or foodservice customer, each layer potentially different are fiddly and error-prone when done by hand. Incorrect pallet builds can mean rejected deliveries, customer deductions or the cost and disruption of a returns collection.
Automation doesn’t rule this out completely, modern palletising systems can handle complex mixed-pattern builds, and vision-assisted systems can verify each layer before it’s stacked. But it does mean you need a system configured for pattern flexibility rather than a basic single-SKU cell, which affects the cost and the integrator shortlist. Mention it upfront when you talk to integrators, because it changes the spec considerably.
When automation probably isn’t the right move yet
Seasonal demand spikes alone aren’t a strong enough signal that you need automation. If you need extra palletising capacity for 8 weeks of the year and the rest of the time throughput is manageable, the economics are difficult to justify. A robot that sits largely idle for 44 weeks takes a long time to pay back.
Very low throughput, for example a single operator palletising a few hundred cases a day, might have a better ROI from ergonomic lifting equipment or a simple layer-forming conveyor than from a full robot cell. The capital cost of automation needs volume to justify it.
And frustration by itself isn’t a business case. If the primary driver is ‘I’m fed up with the staffing headache’ rather than a quantifiable cost you can put a number to, that’s understandable, but it won’t survive a capital approval process. Run the numbers first. If the numbers work, the frustration is a bonus.
Is your palletising operation ready to automate? How many apply?
- You’re running more than one shift of palletising
- Staff turnover at end of line is higher than elsewhere in the operation
- You’ve had injuries or near-misses at the palletising station
- Your packing line creates a downstream bottleneck
- You rely on agency staff to cover palletising
- You’ve turned down orders or extended lead times because of end-of-line capacity
- Your operators are building mixed pallet patterns manually
If you counted three or more, the numbers are likely to work. Five or more and automation is almost certainly worth scoping properly.
Try our Palletising System Selector to see if you are ready to automate your palletising operation and, if you are, what type of palletiser to look at.
The next step
If most of those signals apply to your operation, the path forward is straightforward.
Step 1 — Run the numbers before you talk to anyone
Use the automation ROI calculator to get a realistic payback estimate based on your own shift pattern, labour costs, and throughput. It takes about five minutes and gives you a figure you can test integrator quotes against, rather than going into conversations blind.
Step 2 — Understand your system options
A cobot cell and a traditional industrial robot cell have meaningfully different cost profiles, throughput ceilings, and flexibility characteristics. Before you brief integrators, read the cobot vs traditional palletiser guide to understand which type of system fits your application — it will sharpen the brief you give to suppliers and make the quotes you get back more comparable.
Step 3 — Get quotes from the right integrators
Most integrators will do a site survey at no charge as part of their sales process. The project Matcher filters UK integrators by capability, sector, and budget so you’re not starting from a cold search. Getting two or three quotes on the same application is standard due diligence — price variation between integrators for identical hardware in a similar application can run to 25–35%.
Still not sure what’s involved and what the costs could be? Here’s our robotic palletising guide for UK manufacturers.
Frequently Asked Questions
How many shifts do I need to justify a palletising robot?
Single-shift operations can still build a viable business case, but payback periods of 2–3 years are more common and the numbers need careful construction. Once you’re running two shifts, the same capital cost is spread across roughly twice the annual saving and payback periods of 12–18 months become achievable. At three shifts or 24/7 operation, automation almost always makes financial sense, the labour cost alone will typically cover a cobot cell within a year.
What throughput do I need for palletising automation to be worthwhile?
There’s no hard minimum, but below a few hundred cases per day on a single shift the economics become difficult to justify against the capital cost of a full robot cell. At that level, ergonomic lifting equipment or a semi-automated layer-forming conveyor may give a better return. As a rough guide, if you’re running a dedicated palletising operator for more than one shift, the throughput is almost certainly high enough for a robot cell to make financial sense.
How much does it cost to replace a palletising operator?
More than most operations account for. Advertising, interviewing, supervisor onboarding time, and reduced productivity during the first few weeks of employment add up to roughly £2,000–£5,000 of “unseen costs” per replacement hire, and more if you’re using a recruiter. If you’re replacing a palletising operator every three to four months due to turnover, which is not unusual given the physical demands of the role, that recurring cost alone starts to show up meaningfully in an automation ROI calculation.