Packaging Waste Volume is a critical KPI that reflects a company's environmental impact and operational efficiency.
It influences sustainability initiatives, cost control metrics, and regulatory compliance.
By tracking this metric, organizations can identify waste reduction opportunities, enhance resource utilization, and align with corporate social responsibility goals.
High packaging waste can signal inefficiencies in supply chain management, while low volumes often correlate with improved financial health.
Companies that proactively manage packaging waste are better positioned to meet consumer demands for sustainability and gain a competitive edge in the market.
Packaging Waste Volume appears in one KPI group in KPI Depot, Packing, whose priority order is led by Packaging Efficiency Rate, Order Packing Accuracy, and Packing Error Rate, with Packing Cost per Unit next. Waste volume sits at the bottom of that order. The group's own framing explains why: packing exists to get goods through transit undamaged and in line with customer and regulatory requirements, and waste is a by-product of how well that is done, not the purpose of the function. The ranking is a description of where a packing team's attention goes, and it is also the reason this metric tends to be measured badly. Nobody's shift is judged on it.
Most of the KPI group sits in the internal process perspective, and so does this metric. Packing Cost per Unit is the exception, carrying the financial perspective, and it is the metric waste volume is most often assumed to track. The assumption is weaker than it looks. Material that leaves as waste was bought, so the two are linked, but a cheaper pack specification can lower cost per unit while producing more discarded material, and a right-sized carton program can raise material cost per unit while cutting waste sharply. Read them together or the trade-off stays invisible.
The real tension is with the metrics ranked directly above this one. Packing Error Rate and Time to Pack per Order both improve when packers work from a small set of standard carton sizes with generous void fill: fewer decisions at the bench, faster packing, less damage in transit. Every one of those effects raises packaging waste. Order Packing Accuracy pushes the same direction whenever accuracy is defended by over-packing. A team that hits its throughput and accuracy targets and then reports rising waste volume is not failing at two things. It is showing the cost of one choice, and the KPI group is where that choice becomes visible.
Start with the basis, because the name of this metric and its formula disagree. The name says volume. The formula divides total waste volume by total packaging units, which makes it an intensity, not a total. Meanwhile the data you can actually get is usually mass: waste haulers weigh containers and bill by weight or by pull. Volume, when it is reported at all, is normally reconstructed from container size multiplied by pull count and an assumed fill factor, and compaction breaks the link between what was discarded and what gets measured. Baled corrugate measured after baling understates volume badly. Pick one basis, write down how it is derived, and keep it. Switching basis mid-year produces a trend that is entirely an artifact.
Next, decide which layers are in scope. Primary packaging is what the customer unwraps, secondary is the case or shipper, and transport packaging is the pallet, stretch wrap, corner board, and dunnage. These are controlled by different people. Primary packaging is a product design decision, transport packaging is a logistics one, and only secondary packaging is genuinely the packing team's to change. A single blended number invites the packing team to be held to account for a spec that marketing or procurement set.
Then separate waste generated from waste sent to disposal. Corrugate that leaves through a baler under a recycling contract is still generated. If the metric quietly counts only what goes to landfill, signing a better recycling contract improves the number while the same material keeps being consumed. Both views are legitimate, they answer different questions, and the reduction question is answered only by the generated view.
The largest measurement problem at most sites is upstream. Supplier packaging arrives with components and raw materials and is discarded at the receiving dock, often in bulk. It is real waste, it shows up in the same compactor, and no packing decision caused it. Tag waste at the point it enters the stream, by dock or by department, or accept that the metric mostly reports procurement's supplier specifications. Where a site shares a waste stream with other functions, the packing figure is an allocation rather than a measurement, and it should be labeled that way.
The normalization choice changes the story more than anything else here. An absolute figure falls in a soft quarter and rises in a strong one, so it reads as performance when it is demand. Normalizing to production volume removes that, and introduces its own sensitivity: a mix shift toward small single-item orders raises waste per unit with no change in process or specification whatsoever, because the fixed packaging overhead of a shipment is spread across fewer items. Report the absolute and the normalized figure side by side, and state what a packaging unit is, since orders shipped, cartons shipped, and sellable items give three different denominators for the same operation. Segmentation that earns its keep: by order profile, by shipping lane, by season, and by whether a pack was a first-time pack or a repack, since repacks consume material twice and are usually invisible in the count.
Many organizations underestimate the importance of accurate tracking of packaging waste, leading to inflated volumes on reports.
Reducing Packaging Waste Volume requires a strategic approach that focuses on efficiency and sustainability.
We have 1 relevant benchmark in our benchmarks database.
Source: Subscribers only
Source Excerpt: Subscribers only
Additional Comments: Subscribers only
| Value | Unit | Type | Company Size | Time Period | Population | Industry | Geography | Sample Size |
| Subscribers only | kg per inhabitant | average | 2022 | inhabitant | European Union |
Browse the Top Benchmarked KPIs in Packing
One source is tracked for this KPI, a Eurostat packaging waste series reached through a secondary publisher, Woola. The first thing to say plainly is that it does not measure what this page's formula measures. Eurostat reports packaging waste generated across an economy on a mass basis, expressed per inhabitant for a reference year, for the European Union. The formula here divides waste at an operation by the packaging units that operation handles. The basis differs, the denominator differs, and the population is a country's residents rather than a facility's output.
That does not make the source worthless. It is the most complete accounting of packaging waste that exists, and it is the reference regulators and corporate customers tend to have in mind when they raise the subject. It is simply not a shop-floor benchmark, and treating it as one produces a comparison with no meaning. Before any external packaging waste figure is used as a reference point, check:
The benchmark records on this page keep source, reference period, population, and geography attached to each figure, which is the only way to tell whether two packaging waste numbers describe the same thing.
The Packing KPI group's fourth objective, advancing sustainability goals by minimizing the environmental impact of packing materials, is where this metric belongs. That objective is built on Sustainable Packaging Index and Environmental Impact of Packaging, both of which are composite scores. Packaging Waste Volume is the physical counterpart to them, and it is the one key result in that set a floor supervisor can see happening. As a key result, phrase it as a reduction in packaging waste per unit shipped rather than in absolute terms, so a quiet quarter does not read as progress, and pair it with Packing Error Rate so that material taken out of the pack does not come back as damage claims.
The group's cost objective gives the same metric a second, less obvious home. That objective runs on Packing Cost per Unit and Packing Cost Variance, and the group's own guidance warns against pursuing sustainable packaging in a way that inflates cost per unit. Waste volume is the diagnostic that keeps both honest, because it distinguishes the two ways cost per unit can fall. Buying thinner material lowers cost and can raise both waste and damage. Removing packaging that was never needed, through right-sizing or cube optimization, lowers cost and waste together. A key result written as cost reduction achieved without an increase in packaging waste per unit forces the second path, and it uses this metric the way its position in the KPI group suggests: as a check on the metrics above it, not as a target in isolation.
This KPI is associated with the following categories and industries in our KPI database:
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Several factors impact Packaging Waste Volume, including product design, material choices, and supply chain practices. Inefficient processes or outdated packaging can lead to increased waste, while innovative designs can minimize it.
Implementing a robust reporting dashboard is essential for tracking waste accurately. Regular audits and data analysis help identify trends and inform data-driven decisions for waste reduction strategies.
Consumer feedback is vital for understanding preferences and expectations regarding packaging. Engaging customers in sustainability initiatives can lead to innovative solutions and reduced waste.
Yes, reducing Packaging Waste Volume can lead to significant cost savings through lower material expenses and waste disposal fees. Additionally, improved sustainability can enhance brand loyalty and attract environmentally conscious consumers.
Regular assessments, ideally quarterly, help maintain focus on waste reduction goals. Frequent evaluations allow for timely adjustments to strategies and ensure continuous improvement.
Common strategies include redesigning packaging for efficiency, using sustainable materials, and implementing recycling programs. Each approach contributes to lowering overall waste and improving environmental impact.
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