Markdown and clearance: clear out inventory
Markdown is a structural, irreversible discount, not to be confused with a promotion. If poorly managed, it destroys margin through excessive caution or excessive discounting.
Markdowns cost U.S. retailers approximately $300 billion annually, representing nearly 12% of the sector's revenue.
To manage this pricing strategy without causing a panic at the end of the season, BOOPER’s Markdown and Clearance module quantifies the impact of a markdown scenario before implementing it.
Aging inventory doesn’t just take up warehouse space—it eats into profit margins every week it remains unsold. Markdown (the gradual, irreversible price reduction of an end-of-life product) is the strategy designed to address this urgent need. If not managed properly, it results in selling off inventory too early or too late. This guide provides a comprehensive framework.
Markdown: A Profession in Its Own Right
In everyday language, markdowns are often confused with sales; both result in a lower price. Yet the logic behind them is opposite.
- A promotion is a temporary and reversible marketing tool: it aims to generate traffic or boost sales of a product, which will then return to its regular price.
- A markdown is a structural, non-reversible price reduction: it is applied to inventory that must be sold before a deadline (end of season, end of collection, expiration), and the price never goes back up.
Confusing the two leads to two symmetrical mistakes: treating a markdown as a one-time promotion (and thus under-discounting it, allowing inventory to pile up), or treating a promotion as a markdown (and permanently damaging the price image of a product that didn’t need to be discounted).
Why does poor management cost so much?
Markdowns are not just a minor end-of-season issue; they are one of the biggest sources of margin loss in the retail industry. According to a Retail Dive analysis of the U.S. market, markdowns cost retailers approximately $300 billion in revenue in a single year—nearly 12% of the sector’s total revenue.
in lost revenue for U.S. retailers over the course of a year due to markdowns—representing approximately 12% of the sector’s total revenue—with more than half of these unplanned markdowns attributed to inventory management errors (Retail Dive).
This figure reflects only the visible portion—the listed price minus the discount. It does not account for the cost of storing the product while it awaits a price reduction, nor the opportunity cost of the sales floor or warehouse space it continues to occupy.
The real risk: selling off too much—or not enough
The most commonly discussed mistake is selling at too low a price, thereby eroding the profit margin on a product that could have been sold at a higher price. But the opposite mistake—which is less obvious—is just as costly: waiting too long to mark down prices, and ending up with unsellable inventory that is ultimately destroyed, donated, or liquidated at a total loss.
According to the State of Fashion study by McKinsey & Company (BoF-McKinsey), 30 to 40 percent of the clothing produced is sold at a discount or marked down—or never sold at all—representing an estimated loss of between 70 and 140 billion dollars worldwide.
Of the clothing produced worldwide, some is sold at a discount, while other items are never sold—a loss in value estimated at between 70 and 140 billion dollars per year (McKinsey & Company, State of Fashion).
The textile industry is the most well-documented in this area, but the concept applies to any category with a limited lifespan: end-of-generation electronics, seasonal products, and food items with short shelf lives.
The Five Key Elements of a Well-Managed Markdown Policy
A well-developed markdown policy is not simply a matter of “lowering the price when items aren’t selling.” It is based on five key factors:
- Turnover rate: measuring how quickly inventory is actually selling, by category. See our article on the trade-off between margin and turnover rate.
- The timing and extent of the markdown: decide when to mark down prices—and by how much—without winging it; see our article on creating a markdown schedule.
- Discontinued items and dormant inventory: Identify items that are no longer selling before they become a problem. See our article on dealing with unsold inventory before it becomes a costly issue.
- Forecasting Remaining Inventory and Seasonality: Estimating how much inventory will remain at the end of the season—see our article on forecasting remaining inventory.
- Governance: Establish clear rules to ensure that markdowns remain a managed process, not a panic reaction at the end of the season.
How it works, simply put
Monitor the flow rate continuously
Compare, item by item, the actual sales rate with the rate needed to sell through inventory by the deadline.
Detect the discrepancy early
Identify shipments that are behind schedule several weeks before the end of the season.
Simulate the required depth
Calculate the minimum discount that will allow the remaining inventory to be sold off in the time remaining, without selling at a greater discount than necessary.
Follow a schedule, not your instincts
Apply predefined markdown tiers (for example, -20%, then -40%, then -60%) at predetermined milestones.
Measure and Adjust
Compare the actual results with the projected trajectory, and adjust the schedule for the following season accordingly.
What Booper Brings to the Table
The GENIUS Markdown module on the Booper platform handles inventory clearance alongside standard pricing, following the same approach as the other GENIUS modules: combining AI with business rules rather than replacing human judgment with blind automation.
The goal is not to have a tool that decides on price reductions on its own, but rather a tool that provides early warnings, quantifies the impact of a price reduction scenario before implementing it, and allows a category manager to approve it.
Before the end of the season, three questions to ask yourself
- Do I know, reference by reference, how my actual flow rate compares to the target?
- Do I have a set markdown schedule, or do I decide at the last minute?
- Can I calculate the impact of a price reduction before applying it, or do I find out afterward?
FAQ
The questions we are most frequently asked before getting started.
A promotion is a temporary and reversible marketing tool: it aims to generate traffic or boost sales of a product, which will then return to its regular price. A markdown, on the other hand, is a structural and irreversible price reduction applied to inventory that must be sold before a deadline—such as the end of a season, the end of a collection, or an expiration date. We discuss this marketing tool in detail in our article on the 7 promotional pricing strategies in retail.
Confusing the two leads to two symmetrical mistakes that this article specifically identifies: treating a markdown as a simple, one-time promotion—and thus under-discounting it, allowing inventory to pile up—or, conversely, treating a promotion as a markdown and permanently damaging the price image of a product that didn’t need to be sold off at a discount.
Unlike a promotional offer, the price never goes back up after a markdown; it is this irreversibility that requires a different approach to management: a pre-established markdown schedule and discount tiers defined in advance, rather than an ad hoc decision as with a promotional campaign.
For a pricing team, the best approach is to never manage both using the same rules or metrics: the success of a promotion is measured by uplift, while that of a markdown is measured by the rate at which remaining inventory is sold.
No. The Markdown mechanism applies to any category with a limited shelf life—such as seasonal products, end-of-generation electronics, and food items with short expiration dates—not just fashion and apparel.
The textile industry remains, however, the sector with the most data on this topic: according to McKinsey & Company’s “State of Fashion” study, 30 to 40 percent of the clothing produced is sold on sale or at a discount—or never sold at all—resulting in an estimated loss of between 70 and 140 billion dollars worldwide. We explore this specific topic in detail in our article on end-of-line collections and unsold dormant inventory.
The principle remains the same regardless of the industry: as soon as a product has a time-limited sales window, any remaining inventory that has not been sold before that window closes irreversibly loses value, which justifies a structured markdown policy rather than a last-minute reaction.
For a general merchandise retailer, this means that a markdown policy should be developed on a category-by-category basis, taking into account the specific shelf life of each category, rather than applied uniformly across the entire product assortment.
The key indicator is the actual sell-through rate compared to the trajectory needed to sell all inventory by the deadline, tracked by SKU rather than at the overall category level. We discuss this trade-off in detail in our article on margin versus sell-through rate.
The method described in this article follows a specific sequence: continuously monitor this rate, detect the deviation several weeks before the end of the season, simulate the minimum discount required to sell off the remaining inventory, and then implement the plan according to a predefined schedule (for example, -20%, then -40%, then -60%) rather than relying on instinct.
Detecting the gap early is key: a shortfall identified several weeks in advance allows time to adjust the necessary discount level, whereas a shortfall discovered at the end of the season requires a steeper discount to make up for lost time.
This discipline culminates in a learning loop: comparing actual results with the projected trajectory and adjusting the schedule for the following season accordingly, rather than starting from scratch every year.
Both are costly, but in different ways, and this article emphasizes that the most talked-about mistake isn't necessarily the most costly one. Offering a discount too early unnecessarily erodes the profit margin on a product that could have been sold at full price.
Conversely, marking down inventory too late poses a more serious risk: ending up with unsellable inventory that is ultimately destroyed, donated, or liquidated at a total loss—a scenario that is less visible in routine reports but often more destructive to value.
Across the industry, the cost of poorly managed markdowns is considerable: according to Retail Dive, markdowns cost U.S. retailers approximately $300 billion in revenue in a single year—nearly 12% of the industry’s total revenue—with more than half of these unplanned markdowns attributed to inventory management errors. We explain this concept in detail in our article on the timing and depth of markdowns.
Moreover, this figure only captures the tip of the iceberg: it does not account for the cost of storing the product while it awaits markdown, nor the opportunity cost of the retail or warehouse space it continues to occupy during that time.
No, and that is one of the key points of this article: the pace and depth of markdowns depend directly on the specific shelf life of each category, not on a uniform rule applied across the entire catalog.
A category with a very short shelf life (perishable goods, products from a one-time event) requires a faster and more aggressive markdown schedule than a category with a longer cycle, such as end-of-generation electronics. We discuss this planning in detail in our article on forecasting remaining inventory and seasonality.
For this reason, the markdown policy is based on five distinct factors—turnover rate, timing and depth, end-of-line items and dormant inventory, residual inventory forecasting, and governance—each of which must be calibrated on a category-by-category basis rather than applied in a one-size-fits-all manner.
For an organization that manages multiple product families, this means defining markdown rules by category during the governance phase, rather than discovering midway through the season that a single schedule does not work for the entire product assortment.
A solution is needed that accounts for remaining inventory and seasonality, provides a schedule and markdown depth by product, and balances margin and turnover rate. BOOPER offers a dedicated module for this purpose: GENIUS Markdown. See Margin vs. Turnover Rate.
Sources: Retail Dive, “Markdowns cost retailers $300B last year,” retaildive.com · McKinsey & Company, “The State of Fashion 2025” (BoF-McKinsey), mckinsey.com · Booper product data (GENIUS Markdown module, case studies from a national food retailer and the Barbotteau Group published by Booper).
Paarly is a French price monitoring solution for e-commerce sites, featuring AI-powered product matching and automatic repricing. BOOPER is a pricing platform for brick-and-mortar and omnichannel retail.
If the need is simply to monitor online competitors and fine-tune an e-commerce store, Paarly directly addresses that need. If the need is to manage pricing across a network of brick-and-mortar stores—including margins, price-image, and governance—the scope is different.
Prisync and BOOPER are not aimed at the same customer: Prisync is a monitoring and repricing tool for e-commerce catalogs, while BOOPER is a pricing platform for brick-and-mortar and omnichannel retail.
If the need is simply to monitor competitors online, Prisync directly addresses that need. If the need is to manage pricing across a network of stores using flexibility, simulation, and governance, the scope is different.
Prisync publishes its pricing (from $99 to $399 per month, depending on product volume). BOOPER operates on a quote basis.
Minderest, Dealavo, Price2Spy, and Netrivals all operate in the same industry: automatically monitoring competitors' online prices, with repricing based on rules or AI.
None of them natively support—based on point-of-sale data from a network of physical stores—price elasticity calculations, impact simulations, or management by catchment area. That’s where a retail pricing platform like BOOPER comes in, as it integrates market intelligence (GENIUS Link) as one input among others.