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.
Issues
Your challenges business
Sell off excess stock without unnecessarily reducing margins
Avoid uniform, untargeted markdowns
Anticipating the real impact of markdowns on sales
Determining the right time to trigger a markdown
Adapt destocking strategies by store, region, or channel
Forecast of the impact of markdowns upon request
MPS models purchasing behavior using machine learning algorithms capable of predicting:
- The impact of markdowns on sales volumes
- Customer sensitivity to different levels of discount
- The effects of seasonality and product life cycle
- The risks of cannibalization between products
- Weak signals indicating a slowdown in sales
The models are continuously retrained using real data to improve their accuracy over time.
The result: a reliable and dynamic view of the real impact of markdowns on sales performance.
Integration of inductors internal and external
The performance of markdown strategies relies on the intelligent integration of multiple data sources:
- Sales history
- Inventory levels
- Prices and markdown history
- Promotional calendars
- Competitive data
- Seasonality
- Weather, events, holidays
- Store types and geographic areas
BOOPER consolidates these drivers to produce realistic and contextualized destocking scenarios.
Calculation of elasticities prices and customer feedback
MPS automatically estimates:
- Price elasticity by product, category, and store
- Threshold effects (10%, 20%, 30%, etc.)
- Cross elasticities (substitution, complementarity)
- Indirect promotional impacts
This modeling allows us to understand precisely how demand reacts to each level of discounting.
Markdown strategies can thus be differentiated by store cluster rather than by a uniform approach.
Key figures
Profits measurable
+3 to +8%
margin on destocking operations
-20 to -40%
unnecessary markdowns
-25 %
of dormant stocks
Reporting and analysis performance comparison
MPS offers advanced management tools:
- Customizable dashboards
- Monitoring markdown KPIs (sell-through, margin, velocity)
- Comparison between stores, regions, and categories
- Time analysis of markdown campaigns
- Exports for finance, supply chain, and senior management
Teams have a clear, shared, and actionable view of inventory reduction performance.
Solutions tailored to each pricing challenge
Why choose BOOPER ?
BOOPER integrates a price simulation engine (PSS) based on elasticity and AI to measure the impact of a pricing scenario on volumes, revenue, and margin. It combines historical data, forecasts, and business rules to manage multiple objectives under constraints and secure operational decisions.
MPS manages geo-pricing and price tiers. Prices are simulated and optimized according to elasticity levels, margin targets, and business constraints, ensuring global consistency, local differentiation, and multi-level performance management.
BOOPER manages assortments according to formats, zones, and channels, integrating packaging sizes, sales forecasts, and product life cycles. Margin simulations enable decisions to be made on whether to introduce or withdraw products based on economic performance and profitability targets.
BOOPER secures pricing decisions through structured governance based on explainable models, business rules, and complete traceability of simulations. Multi-level validations ensure strategic consistency, risk control, auditability, and control of margin and performance variances.
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 sales performance.
We have made our entire pricing decision-making process more reliable thanks to Booper. Teams now have a clear, shared view of price performance by category and by store, with recommendations backed up by data. The platform allows us to anticipate the impact of our choices on margins and justify our decisions to management with concrete, measurable indicators.
Pricing Department
Food Industry
The predictive scenarios offered by Booper have transformed the way we prepare promotional campaigns. We can compare several pricing scenarios before launch, measure their impact on volumes and profitability, and make more confident business decisions. This has enabled us to become more responsive while improving consistency between our offering strategy, price image, and economic performance.
Senior Category Manager
DIY sector
Booper has enabled us to industrialize our pricing approach without losing strategic control. Teams have access to shared tools for analyzing the competition, simulating decisions, and aligning field actions with business objectives. We have structured cross-functional governance that improves coordination between sales, marketing, and finance while generating tangible results in terms of margins.
Sales Management
Luxury sector
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.
