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7Learnings determines the lowest necessary discount to ensure timely clearance for every product, safeguarding your remaining margin while eliminating unsold inventory.
Recover the maximum margin from every clearance cycle.
7Learnings machine learning models forecast demand at the product level, factoring in price elasticity, remaining inventory, days left in the season, and competitor pricing. The result is a differentiated markdown recommendation for each SKU, not a blanket rule applied across the category. Our price optimization software drives every markdown recommendation meaning clearance decisions are always grounded in a demand forecast.
Optimize your pricing strategy to capture the full value of every product.
7Learnings forecasts sell-through trajectories throughout the season, giving you the visibility to act earlier, at a shallower discount depth, before inventory pressure builds. You can simulate different markdown scenarios, including timing, depth, product scope, and see the forecasted impact on margin, revenue, and remaining inventory before committing.
Maintain higher price integrity and avoid deep last-minute liquidations.
7Learnings calculates optimal markdown depth per product, per channel, per week so each SKU gets the discount it actually needs, not the one that is easiest to communicate internally. This approach works across large and complex assortments, including long-tail products where manual markdown management is not practical.
Tailor your strategy to the individual product’s performance.
7Learnings models cross-product effects so you can see how clearance decisions interact with the rest of your assortment, and plan markdowns that clear old stock without undermining the full-price positioning of what comes next.
Clear last season inventory without damaging the demand for new arrivals.
Do you have questions? We have the answers.
Markdown optimization is the process of calculating the right discount for each product at the right time to maximize sell-through while recovering as much margin as possible. Unlike blanket discounting, optimized markdowns are calculated per SKU based on demand forecasts, price elasticity, remaining inventory, and the time left in the season.
7Learnings uses machine learning models trained on transaction history, price elasticity data, competitor pricing, and inventory levels to forecast demand at the product level. The model then calculates the shallowest discount that will clear the target quantity by the target date, so you recover the maximum margin available, not just clear the shelf.
Yes. 7Learnings forecasts sell-through trajectories throughout the season, giving you the visibility to act proactively at a shallower discount depth before inventory pressure builds. You can simulate different markdown scenarios and see forecasted margin, revenue, and remaining stock for each option before committing.
Per product. 7Learnings calculates the optimal markdown depth for each SKU individually factoring in its specific price elasticity, inventory position, days remaining, and the business goal behind the clearance. Applying a single markdown percentage across a category over-discounts some products and fails to clear others.
Markdown optimization and price optimization share the same forecasting engine in 7Learnings. Every markdown decision is made with full visibility into its impact on full-price demand, channel performance, and inventory across the assortment.
Yes. 7Learnings connects markdown planning and performance marketing in a unified optimization engine. When planning a clearance event, you see the full downstream impact on ad spend efficiency — so marketing budget goes to the markdowns where it will drive the most incremental volume. Learn more about performance marketing optimization →
Most retailers see measurable improvements in markdown performance and margin within the first weeks of full deployment. Full integration and ROI typically arrive within 3 to 4 months, with as little as 2 to 4 weeks of IT effort. Calculate your expected profit uplift →
No. Our solution is designed for fast onboarding and requires minimal IT involvement. Our implementation team handles the setup so your pricing team can focus on results, not integration work.
See how predictive markdown optimization can recover the margin your current clearance strategy is leaving behind. Book a demo with one of our pricing experts and explore the platform together.
Join 7Learnings CEO Felix Hoffmann as he explains how to build a pricing strategy for inflation & high-cost environments.
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