Markdown Optimisation

Markdown optimisation is the discipline of deciding the timing and depth of permanent price reductions used to clear seasonal or slow-moving inventory while protecting as much margin as possible. Sources frame it as the end-of-lifecycle counterpart to Promotional Uplift Modelling: Toolio draws the line that "a price adjustment to manage in-season velocity is fundamentally different from a markdown to clear end-of-season excess — the first protects margin, the second recovers what's left of it" (Toolio, vendor, updated 2026-05-29). In fashion/apparel it is a structurally large lever because a high share of units now move at a discount, and each reduction erodes planned margin disproportionately. It sits inside the merchandise-planning stack alongside Merchandise Financial Planning (MFP) (which budgets the markdown reserve) and Open-to-Buy (OTB) (whose formula includes planned markdowns).

Sourcing note: Coverage this run is web-only — Reddit and YouTube source MCPs were unavailable (see gaps). The web sources are dominated by pricing/planning software vendors; every uplift, margin and time-saving figure carries a conflict of interest and is stamped (as-of 2026-06-26) with the source named. The most independently-grounded figures (American Eagle financials, Coresight returns) are flagged where they appear.

Why it matters: the margin math

Eightx illustrates the asymmetry that makes markdowns expensive: a 15% markdown does not cost 15% of margin. On a $100 unit at 55% gross margin ($45 cost), a 15% cut drops gross profit from $55 to $40 — "more than a quarter of your gross profit dollars gone"; a 30% cut drops it to $25; and a ~55% clearance sells at cost for zero profit (Eightx 2026-06-08, labelled an illustrative model, not a measured stat). Toolio makes the same point on the velocity side: "a 70% [sell-through rate] with zero markdowns is worth more than a 90% STR after a 30% promotional discount" (Toolio, vendor, updated 2026-05-29).

The structural backdrop sources report (all vendor-attributed, treat as directional):

• Markdowns consume an estimated 20–50% of net sales at many fashion retailers (Markmi and Eightx, both attributing McKinsey) (as-of 2026-06-26).
• Full-price sell-through has reportedly fallen from an old 70–75% norm to ~50% at many retailers — i.e. about half of all units now move at a discount (Markmi 2026; independently repeated by Eightx 2026-06-08) (as-of 2026-06-26).

[!unverified] The "20–50% of net sales" and "70–75% → 50% full-price sell-through" figures are attributed to McKinsey but reach the vault only through two software-vendor blogs (Markmi, Eightx). No primary McKinsey publication URL was located. Treat as vendor-relayed until corroborated at source.

A worked example of the downstream P&L sensitivity is independently grounded: per its 10-K filed 2026-03-30, American Eagle's gross margin slipped to 36.5% in FY2025 from 39.2% the prior year, and operating income fell 47%, from $427.3M to $226.2M — a 2.7-point gross-margin slip nearly halving operating income (Eightx 2026-06-08, citing the SEC filing) (as-of 2026-06-26).

Markdown vs promotion (the definitional line)

Centric Software enumerates markdown types — clearance (at or below cost for slow sellers), seasonal, loss leaders, end-of-life, dynamic (real-time supply/demand timing), competitive, and promotional — and explicitly frames promotional cuts as "temporary price cuts, circular promotions, coupons, and other limited time price reductions," separate from inventory-clearing markdowns (Centric Software, vendor, 2024-06-25). This is the boundary that separates this page from Promotional Uplift Modelling: markdowns are permanent and inventory-driven; promotions are temporary and demand-driven.

Markdown cadence and depth (fashion)

Sources converge on a shallow, few-step, trigger-based approach rather than deep calendar-driven cuts:

• Eightx: best practice is a shallow first markdown of 10–25%, with only 2–3 steps across a season, differentiated by how price-sensitive the style is, on the principle "you can always discount deeper, you can never put the price back up" (attributed to Centric Software guidance plus BCG fashion-markdown research, Eightx 2026-06-08).
• Toolio's structured cadence: Phase 1 (weeks 1–3 post-peak) 10–15% on slow movers; Phase 2 (weeks 4–6) 20–30% if Phase 1 didn't hit velocity; Phase 3 (end-of-season) deeper clearance with a floor at landed cost plus minimum acceptable margin (Toolio, vendor, updated 2026-05-29).
• Eightx: the first markdown should be triggered by a sell-through threshold, not a calendar date — at the midpoint of a style's selling window, styles materially below their sell-through curve get a small automatic cut (Eightx 2026-06-08).
• Centric: markdown ladders (the discount percentages shoppers see) typically begin at 10% and deepen; cuts under ~5% "do not move consumers"; and blanket category-wide markdowns waste margin on healthy SKUs versus precise SKU/colour/size-level selection (Centric Software, vendor, 2024-06-25).

Sell-through benchmarks driving the trigger

Toolio reports healthy apparel/fashion Sell-Through Rate at 65–85% (fast fashion 85%+, basics 65–70%), with end-of-season STR below 60% triggering markdown escalation for most buying teams (as-of 2026-06-26). By vertical it cites Health & Beauty 75–90%, Sporting Goods 70–85%, General Retail 70–80%, Consumer Electronics 60–75%, Home & Furniture 55–75%, Luxury & Jewellery 50–65% (low STR partly intentional for scarcity) (Toolio, vendor, updated 2026-05-29).

AI / automated vs manual / rules-based

Sources describe a shift from calendar/rules-based markdowns to condition-based, SKU-level optimisation:

• Trail-ML: dynamic pricing models "combine demand forecasting, Price Elasticity estimation, and constrained optimization to find revenue or margin-maximizing prices subject to business rules," replacing both reactive run-to-failure pricing and fixed calendar schedules (trail-ml, vendor/use-case page, date unknown). Elasticity per product-segment is estimated via causal-inference methods — difference-in-differences, instrumental variables, or randomised price experiments.
• Beebi: unlike one-size-fits-all rules, products in the same category respond differently — "one SKU may benefit from an earlier, modest intervention. Another may need a deeper price reduction later... A third should remain untouched" (Beebi, snippet only, date unknown).
• Centric: AI markdown optimisation uses "optimization engines" over sales history, real-time tracking, customer behaviour, market trends and competitor analysis to deliver SKU-level suggestions per channel/location, with adjustable automation and human override (Centric Software, vendor, 2024-06-25).
• Toolio: moving from spreadsheet-based to purpose-built planning "typically" yields a 5–15% improvement in end-of-season STR (Toolio, vendor) (as-of 2026-06-26).

[!unverified] Aggregator/snippet figures not fetched at source: AI improving markdown performance "by an average of 26%," a fashion retailer "saving $32 million annually through reduced terminal markdowns," and AI cutting markdown depth 5–10% while lifting inventory turnover 10–25% (NetSolutions snippet, date unknown). Single-source, vendor/aggregator, unverified — recorded as a claim, not as fact.

Vendor / tooling landscape

Gartner frames the competitive category as "Unified Price, Promotion, and Markdown Optimization Applications" (Gartner reviews, date unknown) — a useful umbrella for where these tools compete.

• McKinsey uses a proprietary tool, Periscope Price Advisor, to guide apparel companies through forecasting, markdown, pricing and promotion across the product lifecycle (McKinsey, search snippet, date unknown).
• RELEX Solutions launched automated markdown optimisation in October 2023 and was named a Leader in the 2025 IDC MarketScape for Worldwide Retail Price Optimization Solutions; its price optimisation runs off the same forecast data as replenishment (RELEX, vendor PR, 2025) (as-of 2026-06-26). RELEX-reported customer results (grocery/book, not fashion) include a bookseller seeing 133% higher inventory turnover on marked-down items and 94% higher sales than projected without markdown; other customers cite 15–20% lower end-stock balances and 4.9% margin growth (RELEX, vendor self-reported) — low–med confidence.
• Nextail — AI-native merchandising platform for fashion/apparel (inventory optimisation, allocation, replenishment, SKU-store demand prediction), reporting up to 40% sales growth for brands such as Guess and Gina Tricot (CBInsights company profile / vendor claim, date unknown) — low confidence.
• Centric Software, Toolio, Markmi — fashion merchandise-planning suites with markdown modules (all vendor sources used above).

[!unverified] McKinsey estimate (via Markmi 2026, corroborated by Eightx): disciplined markdown optimisation can improve margin rates 400–800 bps, worth €3M–€7M annual EBITDA for a €500M retailer plus 80–95% time savings. Vendor-relayed, no primary McKinsey URL (as-of 2026-06-26).

Regulatory / structural context (2026)

• Markmi reports that from July 2026 the EU applies stricter rules on unsold textiles, eliminating some traditional clearance/destruction options, and that supply-chain lead times have "roughly doubled to ~67 days" (Markmi, vendor, 2026) (as-of 2026-06-26).

[!unverified] The EU unsold-textiles disposal restriction is real under the Ecodesign for Sustainable Products Regulation, but the specific "July 2026" activation and the "67-day lead time" figure are vendor-stated (Markmi) and uncorroborated here. Verify the regulatory timeline at a primary EU source before relying on it.

• Eightx reports US online apparel return rate at ~24.4% (attributing Coresight Research, "The True Cost of Apparel Returns"), with discount-driven buyers returning at higher rates than full-price buyers — implying markdowns should be modelled on net units after returns (Eightx 2026-06-08) (as-of 2026-06-26). See Returns Management.

Key terms

Term	Meaning (as sources use it)
Markdown	A permanent price reduction to clear inventory (vs a temporary promotion)
Markdown ladder	The sequence of discount percentages a style steps through over a season (Centric)
Terminal / clearance markdown	The final, deepest cut to exit remaining stock, floored at landed cost + min margin (Toolio)
Sell-through trigger	Marking down based on a style falling below its sell-through curve rather than a calendar date (Eightx)
Markdown reserve / budget	The planned markdown allowance carried in Merchandise Financial Planning (MFP) / Open-to-Buy (OTB)

What practitioners report

[!unverified] No Reddit or YouTube practitioner signal was collected this run — both source MCPs (reddit-research, Apify transcripts) were unavailable. Calendar-vs-trigger timing debate, "one deep cut vs incremental ladder," and whether small/mid retailers find optimisation tools worth the cost remain unfilled. See Reddit — Markdown Optimisation 2026-06-26 and YouTube — Markdown Optimisation 2026-06-26 (gap-only).