Markdown and Clearance Sale
Markdown and Clearance Sale
Optimize your markdowns and accelerate the flow of your inventory
MPS guides your destocking strategies by combining AI and operational research to anticipate the impact of markdowns on demand.
The platform simulates scenarios, optimizes the right level of reduction at the right time, and aligns each decision with your margin, revenue, and inventory turnover goals.
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Solutions tailored to each pricing challenge
Why choose BOOPER ?
Customer testimonials
Our customers share their feedback
Discover how our customers leverage BOOPER's artificial intelligence to structure their pricing decisions, secure their margins, and accelerate their commercial performance.
We have made our entire pricing decision-making process more reliable thanks to BOOPER.
The teams now have a clear and shared view of price performance by category and by store, with data-driven recommendations.
The platform allows us to anticipate the impact of our choices on the margin and to justify our decisions to management with concrete and measurable indicators.
The predictive scenarios offered by BOOPER have transformed the way we prepare promotional campaigns.
We can compare several pricing scenarios before launch, measure their effects on volumes and profitability, and secure our business decisions.
This has allowed us to become more responsive while improving the consistency between supply strategy, price image and economic performance.
BOOPER has enabled us to industrialize our pricing approach without losing strategic control.
The teams have common tools to analyze the competition, simulate decisions and align field actions with business objectives.
We have structured a cross-functional governance that improves coordination between sales, marketing and finance while generating tangible results on the margin.
Frequently Asked Questions - BOOPER MPS - Markdown and Clearance Sale
AI analyzes sales history, inventory levels, seasonality, prices, and customer behavior to predict the actual impact of markdowns. It identifies the right level of discount at the right time to maximize sales while protecting margins.
BOOPER primarily uses historical sales, inventory, prices, promotional calendars, store data, and external factors such as weather and competition. The richer the data, the more accurate the recommendations.
Manual markdown is based on generic rules and intuition. AI-driven markdown relies on predictive models that simulate the actual impact of each reduction level per product and per store.
Yes. BOOPER anticipates the periods when markdowns have the greatest impact on demand and avoids reductions that are too early or too late.
The solution calculates markdowns at a granular level (SKU, store, region) in order to tailor the discount to actual sales potential and avoid unnecessary discounts.
BOOPER projects deliver a rapid ROI by reducing excessive markdowns, improving inventory turnover, and reducing the time spent on manual decisions. Initial gains are typically seen in less than three months.
Yes. BOOPER is designed for large retail accounts with multi-country, multi-store, and multi-category management, while maintaining centralized governance and local flexibility.
