If you're a merchandise planner, inventory analyst, or VP of Merchandising at a US retail operation, you've been here before.
Markdowns are the biggest controllable drain on gross margin in US retail. McKinsey found that 30–40% of all apparel inventory ends up sold at a discount. The NRF puts total markdown losses across US retail at over $300 billion a year. Retailers still making discount decisions manually are leaving real money on the table while the best operators using markdown optimization software are recovering 20–30% of those losses and protecting hundreds of basis points of gross margin every season.
Also read: A Guide to Markdown Optimization for Retailers
The gap between those two groups comes down to process, data, and the right tools.
Key Takeaways
- Markdown decisions based on gut feel and weekly spreadsheets erode gross margins by 500–1,000 basis points per season.
- Markdown optimization uses real-time demand signals and price elasticity to make discount decisions at the SKU level.
- The right software stops you from over-discounting healthy SKUs and under-discounting the ones that are actually dragging your inventory turns.
- Automating markdowns protects OTB flexibility and keeps more products out of the off-price channel.
- Increff helps retailers cut markdown losses through real-time inventory visibility, smarter replenishment, and early sell-through alerts.
What is markdown loss and why does it drain retail margins?
A markdown is a permanent price cut, not a promo event, not a coupon. When a SKU gets marked down, it usually means the initial buy was off, the allocation missed, or the team didn't react to demand signals fast enough.
The numbers add up quickly. Take a $60 private-label top with a 55% initial markup. A 30% markdown doesn't just cost you $18 in revenue, it can turn a solid gross margin contributor into a near-breakeven unit once you factor in freight and handling costs. Multiply that across tens of thousands of SKUs and hundreds of doors, and you have a serious GMROI problem.
On top of that, poorly timed markdowns slow down your inventory turns into a number that investors, PE-backed operators, and wholesale partners all watch closely.
Why do traditional discount strategies keep failing US merchants?
Despite all the tools available today, most US retail teams still rely on manual review cycles and weekly meetings to make markdown calls, a process that's too slow for the pace modern inventory management demands.
The timing is always late. By the time aged inventory shows up on a weekly report, the best window to act has already closed. Competitors have moved, demand has dropped further, and a markdown that could have been 15% early in the season turns into a 35% clearance event by week 16.
The discounts are too broad. Rules like "mark down everything sitting over 45 days by 20%" don't account for the fact that some SKUs still have strong velocity and don't need a discount at all. Blanket markdowns hurt the items that are selling fine and often still don't clear the ones that are actually stuck.
OTB takes the hit. When markdowns run deep and late, the cash you needed for next season's open-to-buy gets eaten up. Buyers go into the next planning cycle with less flexibility and more pressure which usually leads to the same problems all over again.
The off-price channel becomes the only way out. When in-store and online markdowns still can't move product, inventory gets shipped off to TJ Maxx, Ross, or Burlington at a steep loss. For any brand trying to protect price integrity and GMROI, that's not a strategy, it's a failure.
How does markdown optimization software actually work?
Instead of relying on rules, markdown optimization software uses an algorithm to make discount decisions. It pulls in real-time data sales velocity by SKU, on-hand inventory, days of supply, price elasticity, competitor pricing, and seasonal trends and tells you exactly when to mark something down, by how much, and in which locations.
The system is constantly running scenarios in the background. If a SKU gets a 12% discount in week 6, does it sell through by week 14? If you hold price until week 8 and then drop 20%, does it clear or does it end up in the off-price channel? Which path protects more gross margin dollars?
No merchant can run that analysis manually for 40,000 SKUs across 300 stores. The software does it continuously, updating recommendations as new sales data comes in every day.
How can US retailers roll out markdown optimization without disrupting their planning process?
The retailers who do this will focus on three things.
Clean up the data first. If your on-hand inventory numbers are off because your WMS and POS aren't syncing properly, no optimization tool will help. Getting your inventory positions accurate and your SKU data clean before rollout is the most important step and the one most teams skip.
Bring recommendations into existing workflows. Merchants won't use a tool that lives in a separate system. The best rollouts push markdown recommendations directly into the platforms buyers and planners already work in, whether that's their OTB tracker, their merchandising system, or a planning dashboard. If the recommendation shows up where the decision gets made, adoption follows naturally.
Treat the first season as a learning period. Elasticity models get more accurate with more data. Planners get more comfortable with algorithmic recommendations after they see results. Retailers who go in with realistic expectations and use year one to build the feedback loop see significantly stronger results in year two and beyond.
How Increff helps US retailers reduce markdown losses
Increff's inventory intelligence platform targets markdown loss before it starts, not just at the clearance rack.
Most markdown problems aren't really pricing problems. They're inventory allocation and replenishment problems that went unnoticed until it was too late. Increff addresses both.
Real-time inventory visibility gives merchants accurate, door-level stock positions across every channel. Aged inventory gets flagged early before it misses its sell window. Demand-led replenishment moves the right SKUs to the right doors based on actual sales velocity, not last season's allocation template. That reduces the overstock that creates markdown pressure in the first place. Assortment optimization aligns buy depth to each store's real demand, so you're not sitting deep on sizes and colors that don't move in that location. Early sell-through alerts flag at-risk SKUs weeks before they hit critical thresholds giving merchants time to act with a small, early discount instead of a large, late clearance cut.
The result is better inventory turns, healthier GMROI, and OTB dollars that aren't wiped out chasing clearance at the end of every season.
What should US retailers do before the next planning cycle?
Markdown losses at this scale aren't just a cost of doing business, they're a fixable problem. The tools exist, the data is available, and retailers already using markdown optimization are pulling ahead on margin every season.
Start with a straightforward inventory health check: How much aged inventory are you carrying right now? How late are your markdown calls typically landing? How much product is ending up in the off-price channel that shouldn't be there? Those answers tell you exactly how much margin is recoverable.
From there, the path to 20–30% markdown loss reduction comes down to better data, tighter allocation, and a system that catches at-risk SKUs before they turn into a clearance problem. The retailers who build that now will be the ones protecting gross margin when the next demand cycle turns against them.
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Frequently Asked Questions
Q. What is markdown optimization software?
A. It's a tool that uses real-time sales data, inventory levels, and price elasticity to recommend the right discount, the right amount, at the right time, for the right SKU. It replaces manual, rules-based markdown calls that consistently cost retailers margin.
Q. How is this different from the promo pricing tools we already use?
A. Promo tools handle planned discount events, holiday weekends, site-wide sales. Markdown optimization handles a different problem: slow-moving and aged inventory that needs to be cleared before it tanks your inventory turns or ends up in the off-price channel. They solve different problems and work well together.
Q. Does this work for both stores and e-commerce?
A. Yes and the omnichannel view is actually where the biggest wins are. Sell-through rates differ significantly between in-store and online, and a system that accounts for that difference will always outperform one applying the same discount across every channel.
Q. We're a 200-door specialty retailer. Is this built for our size?
A. Markdown optimization works well across a range of retailer sizes. The point where it clearly outperforms manual decision-making is typically around 5,000+ active SKUs and 20+ doors. At that level of complexity, no team can run the analysis fast enough or at the granularity the business needs.
Q. How does Increff specifically reduce markdown exposure?
A. Increff works on the problem before it becomes a markdown event. By improving allocation accuracy, tightening replenishment to actual demand, and alerting planners early, Increff reduces the volume of inventory that ever reaches a markdown situation and when it does, you're acting earlier with smaller discounts instead of scrambling through clearance at season end.