SKU rationalization usually begins with a simple question: which items are truly carrying the business, and which ones are merely along for the ride? Volume, revenue, and margin analysis provides the first clear answer. It does not solve everything, but it creates the economic map. It shows where the portfolio is concentrated, where performance is thin, and where effort is tied up in items that contribute little.
This chapter explains how to assess sales velocity and demand concentration, how to read gross margin and contribution margin without misleading averages, how to identify low-volume, low-value SKUs, and how to distinguish between complexity in the revenue tail and complexity within high-revenue items.
7.1 Measuring Sales Velocity and Demand Concentration
Sales velocity: the rate at which a SKU sells over a period. Velocity is one of the clearest signals of whether an item is part of the portfolio’s core or merely occupying space. High-velocity items tend to have more stable demand, better replenishment patterns, and greater commercial relevance. Low-velocity items often require disproportionate effort because their demand is irregular, forecasting is weaker, and inventory must be held longer relative to throughput.
The practical starting point is to examine volume and revenue by SKU over time, not as a single annual total. A yearly figure can hide whether an item sells consistently every month or only in spikes. Those two patterns matter very differently in rationalization. A SKU that sells modestly but steadily may still belong in the core business. A SKU with the same total volume that sells in scattered bursts can be far more disruptive because it is harder to plan, stock, and more likely to create leftover inventory.
Velocity analysis should also look at order frequency. Some SKUs appear healthy because they have periodic large orders, but they are actually dependent on one or two purchases per year. Others move in many small but frequent orders and therefore behave more like a portfolio item. This helps identify which products are truly embedded in recurring customer demand and which survive on intermittent activity.
Demand concentration: the degree to which volume or revenue is clustered in a small share of SKUs. In many portfolios, a small percentage of items generates the majority of sales. That fact is not, by itself, an argument for aggressive pruning. But it does reveal where economic gravity sits. If 20 percent of SKUs account for 80 or 90 percent of revenue, then the long tail deserves scrutiny, because the burden of managing the remaining 80 percent of items may not be justified by their contribution.
Concentration is best understood visually and comparatively. Leaders should see how many SKUs drive half the business, how many drive the next quarter, and how many together make up only a thin residual share. It is helpful to compare volume concentration with revenue concentration. When the two diverge, pricing or mix effects may be masking weak commercial relevance. Once demand concentration is clear, the portfolio begins to show its true shape.
7.2 Analyzing Gross Margin and Contribution Margin
Volume and revenue show what customers buy. Margin analysis shows whether the company benefits from selling it. This is where many rationalization efforts become insightful or go off course. If the team relies only on gross margin, it may protect SKUs that look profitable in standard reporting but actually destroy value once broader serving costs are considered. If the team overbuilds the model early, it may get stuck in complexity and never reach decisions. The right approach is rigorous but practical.
Gross margin: revenue less the direct cost of goods sold associated with the SKU. Gross margin is useful because it is widely available and consistent enough to compare items across the portfolio. It shows whether the company is earning a reasonable spread on the product itself. But it does not capture many of the costs that make low-complexity items attractive and high-complexity items expensive. Changeovers, expedited freight, special packaging, fragmented purchasing, customer-specific handling, and excess inventory generally sit outside the gross margin line.
Contribution margin: the profit remaining after subtracting not only direct product cost but also the costs required to serve the SKU. This is often a better decision lens because it reflects how the item behaves in the real operating model. A SKU with acceptable gross margin may have weak contribution once small run sizes, frequent setups, promotional deductions, or special logistics are considered. Conversely, a modest gross margin item may still be highly attractive if it moves predictably and flows through the business with little friction.
The analysis should therefore move in layers. Start with gross margin because it is available and comparable. Then adjust, where possible, for the cost-to-serve elements that materially change the picture. The purpose is not accounting perfection. It is to distinguish healthy SKUs from those whose apparent profitability depends on ignored cost categories.
Leaders should also resist the temptation to rely on percentage margin alone. A high percentage margin on tiny volume may contribute little profit, while a lower percentage margin on a large, stable item may be far more important. It is usually better to look at both margin rate and absolute dollar contribution. That combination reveals whether a SKU is truly pulling its weight or merely looking attractive because of a favorable percentage on a small base.
7.3 Identifying Low-Volume, Low-Value SKUs
Once demand and margin are visible, the next step is to identify the SKUs that are weak on both dimensions. Low-volume, low-value SKU: an item that contributes little demand and little economic return relative to the effort required to keep it in the portfolio. These are often rationalization candidates, but they still need to be defined carefully. A purely low-volume cutoff can catch items that are niche but necessary. A purely low-margin cutoff can catch items that serve a strategic role. The useful target is the intersection of low demand, low economic value, and limited strategic justification.
The strongest candidates share several traits. They sell infrequently, contribute little revenue, generate weak gross or contribution margin, and are easy for customers to replace with a nearby alternative. They may also show signs of operational burden such as high inventory days, recurring write-offs, or dependence on dedicated components. When multiple signals point in the same direction, the organization can move with far more confidence.
It is helpful to think in terms of zones rather than a single threshold. Some SKUs fall into a clear exit zone: low volume, low margin, limited customer dependence, and an obvious substitute. Others fall into a review zone: low volume but decent economics, or moderate revenue with poor contribution. The existence of a review zone is important because it prevents the organization from pretending that every decision is obvious.
Historical trends also matter. A low-volume item that is stable and intentionally managed is different from one that has been declining for three years but never formally exited. The latter often represents passive accumulation rather than active choice. Trend helps distinguish between products that are small by design and products that are fading but consuming resources.
The key discipline is to avoid sentimental protection. Every portfolio contains SKUs that survive because someone remembers when they mattered. If an item is weak in demand, weak in economics, operationally inconvenient, and replaceable, the burden of proof should shift. The question should no longer be why the business might remove it. The question should be why it still deserves to remain.
7.4 Separating High-Revenue Complexity From Low-Revenue Complexity
Many rationalization efforts focus so heavily on the tail that they miss a truth: not all harmful complexity lives in low-revenue SKUs. Some of it sits inside large items, popular families, or major accounts. These SKUs look safe because the topline number is large, but they can still be economically inefficient. A high-revenue variant may require unique components, fragmented production, or special channel handling that makes it less attractive than its sales suggest.
Low-revenue complexity: complexity created by items whose commercial contribution is small. This is the most visible form and often the easiest place to begin. The case for change is usually straightforward because the revenue at risk is limited and substitute options are often available. Early wins commonly come from here.
High-revenue complexity: complexity embedded in items that appear commercially important but create disproportionate burden or weak incremental value. These cases require more care because leadership instinctively protects them. Yet this is often where value hides. Several high-revenue variants may be splitting demand that could be concentrated into fewer, healthier items. A customer-specific pack may generate sales but impose changeovers and low realized margin. A legacy configuration may remain popular only because customers have never been guided to a simpler alternative.
The analytical task is to break the false equation between revenue and desirability. High revenue should trigger deeper scrutiny, not automatic immunity. The right questions are whether the revenue is incremental, whether the margin is robust after serving costs, whether the demand would transfer if the assortment were simplified, and whether the item creates complexity out of proportion to its strategic value.
This distinction matters because it shapes program ambition. If the company addresses only low-revenue clutter, it may reduce SKU count without materially improving economics. If it also examines high-revenue complexity, the upside can be much greater, though the analysis and stakeholder management must be stronger. The purpose of Chapter 7 is not just to identify the bottom of the portfolio. It is to reveal the assortment’s true economic structure, including the parts that look healthy until examined more carefully.
