All your pricing decisions in a single tool
Analysis, competition, forecasts, promotions, and markdowns—all without having to switch between files and interfaces.
BOOPER MPS is a " Modular Pricing Solution ": six modules grouped around a single data point and activated one by one.
Each module generates quantified recommendations, guided by your business rules and validated by your teams. You start with the most urgent module.
Proposed price: €2.09, raised to €2.14: the break-even point was met.
Demo Data
They manage their prices with BOOPER
From tracking competitor prices through web scraping to optimizing promotions and markdown, BOOPER covers every step of your pricing strategy.
With cutting-edge AI combined with industry expertise, you can improve the reliability of your matching process, forecast demand, simulate your decisions even before products are launched, and optimize their performance throughout their lifecycle.
Pricing analytics focused on profit margins and effective business governance.
Forecast demand and improve your business decisions with AI
Make Your Product Comparisons More Reliable with AI
Manage your promotions with precision and maximize their profitability
Optimize your markdowns and speed up the turnover of your inventory
Monitor price trends among your online and offline competitors
Optimize your pricing strategy and make confident decisions
Use your pricing strategy as a tool for creating sustainable value
Bring clarity and control to your pricing decisions
Make Your Teams the Driving Force Behind Your Pricing Transformation
Develop your operational or strategic skills
The modules are organized into five steps for each pricing decision: the platform highlights the consequences of each option, and your teams make the final call.
Benchmark products are identified, and the gap relative to each competitor is measured, store by store, using product matching.
AI models estimateprice elasticity and sales shift among similar products.
Each scenario is quantified in terms of volume, margin, inventory, and price index before production begins.
Minimum margin, price tiers, Maximum gap to competitors, plus the French SRP and Egalim rules and reference prices.
The selected scenario goes through the validation process, and then the prices are sent to the cash registers and price tags.
Where your prices differ from the market, product by product
How sales volumes will respond, store by store
Three Scenarios Compared Before Settling on a Single Price
Demo Data
No recommendations are made outside your parameters
A validation process, followed by in-store pricing
Setting the right price involves sales, inventory, competition, and customer behavior—data that is often scattered across multiple files and tools. Prices, promotions, and markdowns all in a single tool: here’s what that changes.
Analysis, competition, forecasts, promotions, and markdowns—all without having to switch between files and interfaces.
Activate the module you need today, and add the others when you're ready.
The same data feeds all the modules: the promotion takes into account the price and the discount from the forecast.
A single point of control, approval workflows, and an audit log for each decision.
Not all organizations have the same priorities or the same level of pricing maturity. The most common process consists of three phases and takes 2 to 4 months to implement.
Product matching and price- and margin-performance analysis: where your prices deviate from the market and where the margin levers lie.
Product MatchingPrice OptimizationPrice MonitoringSales forecasts are factored in to simulate how sales volumes and inventory levels will be affected before any decisions are made.
Sales ForecastPromotions and markdowns are therefore based on the same data regarding price, elasticity, and inventory.
SpecialsMarkdownImport of point-of-sale, pricing, and catalog data without requiring an API connector initially, followed by integration with the ERP and point-of-sale systems (integration and monitoring). Our consultants configure the platform and support your teams with change management.
A national food retailer manages several million prices each year. The challenge was not simply adding another tool, but making consistent decisions on a large scale.
National rate consistency must be maintained while balancing competitiveness, profit margins, and rate tiers, with simulations that have been limited so far.
Price and margin performance analysis, forecasts and cross-elasticities, pre-deployment simulations, and validation workflows are all brought together on a single platform.
The shift from reactive pricing to predictive pricing comes down to one thing: simulating before executing, and leaving the decision-making to the business teams.
retail locations governed by a single, centralized pricing structure.
Purchasing Department · National Food Distributor. Case study written by Booper based on an actual client project; the client has been anonymized.
Analyze
Price and margin performance by SKU and store.
Compare
Competitors' prices linked via product matching.
Plan
Sales, elasticities, and cannibalization.
Decide
Simulation, business rules, and validation.
A single platform, configured to match how your prices are set.
Prices, promotions, and markdowns managed by store, region, and channel, with oversight from headquarters.
Food Pricing →Pricing schedules, discounts, and net prices per customer; consistency between the catalog and negotiated terms.
Retail and B2B Pricing →Management of unregulated pricing (over-the-counter products, consulting) and positioning relative to local and online competitors.
Pricing at the pharmacy →Which module should you start with in your situation?
Let's take a look at MPS based on your own prices and determine the right starting point.
Sector
Food Retail
National Network
Consistent pricing across the entire network, without losing control.
The challenge wasn't simply to have yet another tool. We needed to maintain national pricing consistency across millions of prices, simulate each scenario by category, and leave the final decision to the business teams.
retail locations governed by a single, centralized pricing structure.
Sector
DIY
National Brand
Competitive prices that help you make decisions, not just sit on a shelf.
Competitors' prices are imported directly into the tool and matched to the retailer's products by cloning and linking SKUs. The price indices are up to date, and each price alignment is simulated before being approved by the team.
platform availability in 2025, with the platform having been in production since 2022.
Read more: Matching, Cloning, and Chaining
Sector
Discount, organic, frozen foods
Multi-brand franchise group
One price per store group, revised every six weeks.
The group used to manage several retail chains using Excel and manual processes. Now, prices are linked, simulated in batches, and applied by store group. Each pricing cycle starts from its own baseline.
by price cycle, simulated in batches across all retail chains.
Read more: The Limitations of Excel for Pricing
Sector
Supermarket
Overseas Territories · Caribbean
Not the lowest price: the right price, plus a little extra margin.
The company used to apply a single " Markup " to the entire store. Now, each category has its own focus: foot traffic, sales, or profit margin. Complaints about prices being too high have disappeared, and competitors are raising their prices.
Markup s on the products tested, over the course of a quarter.
Read: How to Measure Your Price Image
Sector
Garden Center
West Indies
Finally find out which products are really driving the profit margin.
While organizing the product assortment, the team noticed that a small number of items accounted for the bulk of sales and profit. Before discontinuing a product, they first test a price reduction and monitor the impact on sales.
the targeted cash flow, from 20,000 to 12,000 items (ongoing goal).
Read more: Pricing in Garden Centers
Sector
Food
Southeast Asia
Each price change is measured against a control group.
The new prices were first rolled out in a few pilot stores and compared to control stores. The results are reviewed weekly and supplemented by an in-store price perception survey.
customers surveyed in-store to gauge their perception of the pilot's price.
Read more: Simulate Your Pricing Strategy
Sector
Garden & Home
A network of 90 stores
An analysis that shows where the profit margin really lies.
The retailer thought it knew its market positioning. The analysis compared its prices to the market, weighted by sales volume, and revealed the margin gap between products exposed to competition and the others.
These products account for 80% of sales across the entire network.
Recommended reading: the price diagnostic
Sector
Hypermarket
Freelancer
Saved, compared, and replayable price scenarios.
The store's strategy: to be the cheapest in the area. Booper serves as a benchmark for comparing prices with competitors, and each scenario is recorded: what was decided, why, and the ability to replay it.
Users are enough to drive the hypermarket's price alignment.
Read more: Simulating the Impact of a Price Change
Case studies written by Booper based on real client projects. Clients are anonymous; the avatars are illustrations. See our case studies on the "Our Clients" page.
Can't find the answer you're looking for? Ask our team directly.
All questions about pricing →Modular Pricing Solution is a platform that brings together several complementary components to manage pricing performance: price optimization, sales forecasting, product matching, promotions, markdowns, and price monitoring—all integrated into a single environment and based on a single data set.
The modular approach addresses a reality: not all organizations have the same priorities or the same level of pricing maturity at any given time. Rather than a monolithic system that imposes the same scope on everyone, each module is activated when it becomes useful and integrates with existing tools (ERP, PIM, BI) without requiring a complete overhaul of the information system.
This approach avoids two common pitfalls in pricing projects: an overly ambitious rollout that fails due to a lack of buy-in, or a proliferation of specialized, unconnected tools that fragment data and decision-making.
BOOPER MPS consists of six modules: price and margin optimization (Pricing Analytics), AI-powered sales forecasting, product matching and chaining, promotion management, markdown and markdown, and price monitoring via web scraping.
They all share the same foundation: your sales, inventory, cost, and competitor pricing data; your business rules; French regulations (the threshold for selling at a loss, Egalim promotional guidelines, reference prices); and the approval workflows and distribution of prices to checkout systems, price tags, and e-commerce platforms. It is this common foundation that ensures consistent decision-making: promotions take the base price into account, while markdowns consider forecasts and inventory levels.
Most organizations start by gaining clarity on their pricing: product-market alignment and analysis of price and margin performance reveal where prices deviate from the market and where margin levers lie.
Sales forecasting is then added to simulate the effect of a price on volumes and inventory, followed by promotion management and markdowns, which are based on the same data. This process is not set in stone: a retailer facing end-of-season pressure may start with markdowns. The rollout generally takes 2 to 4 months, with our pricing consultants.
Yes, that's the principle behind a " Modular Pricing Solution ": base prices, promotions, and markdowns are managed within the same platform, based on the same data, rather than in separate files. In BOOPER MPS, promotions take the base price into account, and markdowns take sales forecasts and inventory levels into account.
The main benefit is consistency: a simulated promotion without knowing the product’s price elasticity, or a markdown decided without forecasting, simply shifts the problem from one file to another. With a single tool, each scenario is quantified in terms of volume, margin, and inventory before being implemented, and French regulations are applied uniformly across the board. To learn more, read why you should combine pricing, promotions, and markdowns into a single tool.
Yes. BOOPER MPS connects to existing data sources (ERP, PIM, BI tools, POS exports) rather than duplicating them, and gets started without requiring an API connector: sales, pricing, and catalog exports are sufficient to begin with.
Integration works both ways: data is fed back up to power analyses and recommendations, and approved prices are sent back down to the registers, price tags, and e-commerce platforms without the need for re-entry. The more structured the data ecosystem is, the faster the deployment. See also : How to integrate your pricing data without an IT project.
In practice, all three terms refer to the same family of software: they help set, simulate, and monitor selling prices based on company data. The difference lies mainly in the scope.
A pricing tool often serves a single purpose, such as monitoring competitors’ prices or calculating prices. A comprehensive pricing solution, such as BOOPER MPS, combines price and margin analysis, sales forecasting, promotions, and markdowns into a single platform, complete with business rules and validation by your teams.
Yes. MPS natively incorporates French regulations into its recommendations: the threshold for selling at a loss (with a coefficient of 1.10 for food products), the Egalim promotional caps (34% by value for food products, 40% for non-food products, and 25% by volume), and the 30-day reference price that must be displayed for any discount.
Your own rules (minimum margin, rate tiers, zone differentials) are in addition to these legal requirements, and every decision must still be approved by your teams.
Our guides to comparing offers, calculating return on investment, and ensuring a successful rollout.
Six modules, one set of data: Start with the one that matters most to you.
30 major clients operating in France, Poland, Vietnam, and Thailand