Meet Markmi - The AI That Ends the Markdown Spreadsheet and Saves You Hours Every Week
By Ashley McPherson · March 22, 2026
Meet Markmi — The AI That Ends the Markdown Spreadsheet
Fashion retailers are losing margin every season to bad discount decisions. Markmi is the AI built to stop that — and it is quietly reshaping the economics of fashion pricing.
What Is Markmi?
Markmi is an AI-powered markdown assistant built exclusively for fashion retailers — not a generic pricing plugin, not a repurposed analytics tool. It was purpose-built for the way merchandising teams actually work: trained on fashion retail data, calibrated to seasonal cycles, and designed to eliminate the hours of manual analysis that haunt every end-of-season.
Founded in Ghent, Belgium and backed by €1.1M in seed funding from fashion insiders including the Torfs family and ex-ZEB executive Luc Van Mol, Markmi is already deployed at C&A, G-Star, Zizzi, ZEB, and Scotch & Soda.
"Markdowns are one of the biggest cost lines in a fashion retailer's P&L. Thanks to Markmi, we finally have more grip on this process."
How to Use Markmi — From Onboarding to Live Recommendations
Here is exactly how a merchandising team goes from first contact to executing their first AI-optimized markdown strategy inside the platform.
Connect Your Retail Data
After contract signing, the Markmi team integrates your existing data — inventory levels, sales history, discount records, and product catalog — directly into the platform. No manual uploads. The system maps your data to Markmi's fashion-trained AI models automatically, typically within two business days.
Set Your Business Rules and KPIs
Every retailer has different priorities. In Markmi's configuration panel, you define discount thresholds, sell-through targets, margin floors, and category- or region-specific constraints. The AI adapts entirely to your logic — not a generic benchmark. These rules govern every recommendation the platform surfaces.
Run Scenario Analysis — Millions of Calculations in Minutes
This is where Markmi earns its place. Rather than committing to one plan, you model up to three complete markdown strategies simultaneously — each with its own phase structure, discount levels, and business rules. The AI processes millions of calculations across your full catalog in under ten minutes, projecting the week-by-week impact on revenue, margin, and inventory per scenario.
At G-Star EU, the platform ran 14.5 million calculations across 21 scenarios in five days. Each individual three-phase strategy completed in under ten minutes — work that would be impossible to complete manually.
Review Product-Level Recommendations for Every SKU
Markmi does not stop at category-level averages. It surfaces the optimal markdown for every individual SKU — grounded in that product's own sales velocity, inventory exposure, and margin contribution. Your buying team sees exactly what discount to apply, what sell-through rate to expect, and the financial impact per product before approving anything.
| Product | SKU | Category | Inventory | Sell-through | Recommended | Margin Impact |
|---|---|---|---|---|---|---|
| Slim Fit Denim | #4821 | Bottoms | 342 units | 61% | 20% off | +1.2% |
| Oversized Linen Shirt | #5102 | Tops | 88 units | 84% | Hold price | +3.4% |
| Technical Outerwear | #3204 | Outerwear | 510 units | 38% | 30% off | −0.6% |
| Oversized Knit | #3904 | Knitwear | 229 units | 52% | 25% off | +0.8% |
| Classic Wool Blazer | #2211 | Tailoring | 174 units | 29% | 40% off | −1.1% |
Approve and Execute in Bulk
Once your team selects a strategy, Markmi's bulk configuration tools let you approve and push markdown changes across thousands of products simultaneously. A process that previously consumed 8 hours per week now takes under one hour. The platform connects directly to your pricing systems — no manual re-entry required.
Track Live Performance Against the AI Forecast
Post-execution, Markmi tracks the real-world impact of your markdown strategy against the AI forecast in real time. Customizable dashboards surface your KPIs continuously, so the team can identify deviations early and course-correct before margin bleeds further. No more waiting for end-of-week reports to understand where you stand.
What Sets Markmi Apart
Fashion-Trained AI
Models trained exclusively on fashion retail data — seasonal patterns, collection cycles, and category-specific discount behaviour. Generic pricing tools do not understand that a denim jacket in week eight of a sale behaves differently than a linen shirt in week two.
Multiple Scenario Analysis
Model up to three complete markdown strategies simultaneously, each with distinct phase structures and business rules. Compare projected outcomes side by side before committing to a single price change across your catalog.
Millions of Calculations in Minutes
G-Star EU ran 14.5 million calculations across 21 scenarios in five days. Each individual three-phase strategy completed in under ten minutes. That analytical scale is not achievable with any manual process.
Configurable Business Rules
Set discount thresholds, inventory targets, and margin floors by product category, region, or collection type. The AI operates within your guardrails — not a generic industry benchmark.
Product-Level Optimization
Every SKU receives its own tailored markdown recommendation based on its individual sales velocity, inventory exposure, and financial contribution. Not averages. Not rules of thumb. Per-product intelligence at catalog scale.
Built for Merchandising Teams
The interface was designed with planners and commercial directors in mind — not data scientists. The workflow maps directly onto how buying teams already operate, so adoption is fast and decisions feel natural from day one.
The Verdict
Strengths
- Purpose-built for fashion retail, not adapted from a generic pricing tool
- Reduces markdown analysis from 8 hours to under 1 hour per week
- Multi-scenario comparison with real financial projections per scenario
- SKU-level recommendations across the entire product catalog
- Accessible interface for non-technical merchandising teams
- Proven results — up to 10% revenue growth, 5% margin improvement
- Backed by investors with genuine fashion retail operating experience
Considerations
- Enterprise B2B tool — no self-serve tier currently available
- Requires a discovery call and integration period before going live
- Best suited for mid-to-large retailers with meaningful catalog depth
- U.S. market rollout still in progress as of 2026
Markmi is not a gimmick. It is a genuine competitive advantage for any fashion retailer still managing markdowns in Excel. The ROI case is clear, the interface is built for how merchandising teams actually work, and the AI is trained on the right data. For AFV's community, this is the kind of AI application that actually moves the margin needle — not just another item on a tech stack.
Want Markmi — or any AI tool — running in your business?
We know this space inside out. As an AI implementation agency specialising in fashion and retail, we handle the entire process for you — from selecting the right tools to full integration, onboarding, and getting your team up and running.
You do not need to figure it out yourself. That is exactly what we are here for. Tell us where you are, and we will take it from there.
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