#SmartLogistics
14 April 2026
Pick-to-light ROI : how to calculate its ROI
A pick-to-light project is rarely sold on the promise.
It's sold on the numbers.
Before investing in light indicators for a picking zone, most logistics and operations leaders want a precise answer to a simple question : how quickly does this investment pay for itself ?
The problem is that this answer is rarely formalised clearly.
There's plenty of talk about productivity gains, but few methods to turn them into a budget decision.
What a pick-to-light ROI calculation should really include
The total project cost, not just the price of the hardware
The price of the indicators is only part of the equation.
An honest ROI calculation also needs to factor in installation cost (which varies significantly depending on whether the solution is wired or wireless) along with initial configuration, WMS integration, and team training.
On a wired project, installation can represent as large a share of the budget as the hardware itself ; on a wireless solution, this line item shrinks considerably since there's no cabling or site work involved.
Operational time savings : measurable, but often underestimated
The most immediate benefit of pick-to-light is the reduction in time spent locating an item and moving between two locations.
In high-throughput operations, this reduction can reach up to 30% of travel and picking-error time.
To quantify it, start with a simple baseline: current average time per order line, multiplied by daily volume, multiplied by the operator's fully loaded hourly cost.
Reduced picking errors : a cost that's often invisible
A picking error doesn't just cost the time to fix it. It generates a product return, a potential customer dispute, sometimes a goodwill gesture.
This full cost is rarely accounted for in ROI calculations, even though it weighs directly on margin.
Even a modest reduction in error rate (a few percentage points) can represent a significant saving on a large annual volume.
Maintenance and scalability costs over time
A pick-to-light project doesn't end at installation.
Maintenance costs (battery replacement, technical support, updates) need to be factored in over the equipment's estimated lifespan, typically several years.
This is also where the difference between wired and wireless solutions becomes significant : reorganising a picking zone on a wired system requires full recabling, a recurring cost that wireless solutions largely eliminate, since indicators can be moved and reconfigured in minutes.
A worked example, from diagnosis to decision
To make this calculation concrete, take a plausible example: a logistics warehouse processing 2,000 order lines per day, with a current picking error rate of 2%.
The starting point : before the project
Average picking and travel time per line is estimated at 45 seconds.
Across 2,000 lines a day, that's 25 hours of cumulative operator time daily.
With a 2% error rate, the warehouse generates around 40 picking errors per day : close to 10,000 over a 250-working-day year.
Estimated time savings
With a pick-to-light deployment, a 20% reduction in picking time is a reasonable, well-documented assumption for this type of operation.
That represents around 5 hours of operator time saved each day : at a fully loaded hourly cost of €25, close to €31,000 in annual savings on time alone.
Savings from error reduction
Reducing the error rate from 2% to 0.5% (a realistic target for this type of deployment) brings annual error volume down from around 10,000 to 2,500.
At an average cost of €8 per error (return, processing, goodwill gesture), the annual saving on this line item alone is close to €60,000.
Investment cost
For a 150-location zone equipped with wireless indicators, the overall budget (hardware, configuration, WMS integration, training) typically falls in a range of €25,000 to €40,000 depending on project complexity.
The ROI calculation
With around €90,000 in combined annual gains (time + errors) against an investment of roughly €30,000, the payback period comes out to around 4 months.
Even allowing a margin of caution on the assumptions, a payback within a year remains a realistic scenario for this type of configuration.
These figures are illustrative orders of magnitude intended to demonstrate the method : every project should be costed using its own operational data.
The pitfalls that distort an ROI calculation
Underestimating maintenance cost over time
A calculation that stops at the initial investment gives an incomplete picture.
The total cost of ownership over 3 to 5 years (battery replacement, technical support, any hardware updates) needs to be included, or the real profitability of the project will be overstated.
Forgetting the cost of future reorganisations
Warehouses evolve: new SKUs, seasonal peaks, layout changes.
On a wired solution, every reorganisation carries a recabling cost that should be anticipated in the long-term calculation.
This is a line item many ROI calculations simply ignore, skewing the comparison between wired and wireless solutions.
Ignoring training and adoption time
A system that's poorly adopted by teams won't deliver its theoretical gains.
Training time and the operator adaptation period need to be factored in, even though they're generally short for this type of solution.
Calculating from an unrepresentative volume baseline
Using an atypical reference day (unusually quiet, or conversely during a peak period) distorts the entire projection.
The calculation should be based on a representative average volume over several months.
At what size does a pick-to-light project become worthwhile?
The question of the profitability threshold comes up consistently.
There's no universal answer, but a few benchmarks can help guide the thinking.
For very small configurations (a few dozen locations with limited order volume) ROI can remain long, particularly if the chosen solution requires heavy installation work.
This is precisely the segment where wireless solutions have changed the equation : by removing the cost and rigidity of cabling, they make projects worthwhile that previously weren't.
From around a hundred locations and a significant daily volume onward, the calculation generally turns favourable, with payback measured in months rather than years, as illustrated in the example above.
Why wireless fundamentally changes this calculation
Most pick-to-light ROI frameworks were designed at a time when wired was the only option.
But the line item that weighs most heavily on an unfavourable calculation is precisely the one wireless reduces the most: installation and rigidity in the face of future change.
We explore this in more detail in our article Wireless Pick-to-Light : the end of the barrier to adoption ? and why this technology shift has changed the equation for configurations that weren't previously profitable.
For many projects deemed too costly a few years ago, the calculation is worth revisiting.
