Best Pricing Software in 2026
Facing a sudden drop in conversion rates because your competitors are adjusting their prices in real time means you need to equip yourself with the best data-driven retail price optimization software in 2026 to stay competitive. Price transparency in 2026: Retailers are automating pricing to protect their margins against inflation, improve omnichannel responsiveness, and generate a quick ROI.
Discover how these tools automate your specific business rules while ensuring total strategic control over your brand image and a measurable return on investment in less than six months.
This detailed comparison analyzes expert platforms capable of anticipating price elasticity and managing your omnichannel inventory to transform every piece of raw data into immediate, net profitability gains.
The BOOPER MPS Pricing Software
Are you comparing pricing software? Here's what BOOPER MPS does
- Pricing, competitive intelligence, forecasts and elasticities, promotions, and markdowns—all in a single modular platform.
- AI and business rules combined, with explainable recommendations: your teams have the final say.
- 30 client brands, 4,000 retail locations, and €44 billion in managed revenue across 4 countries.
BOOPER publishes this comparison and is listed in the table below.
Why retailers are investing in pricing software in 2026
After years of trial and error, the retail sector will shift to data-driven management in 2026 to counter volatility, which has become the norm.
87% of companies still manage their pricing using Excel or an in-house tool (EPP & Vendavo, Global Pricing Maturity Study, 2022).
The challenges: margins, inflation, competition, omnichannel
In 2026, inflation at 2.4% is eating into your margins. Your customers are comparing prices down to the last penny on their phones before checking out. This puts constant pressure on your profitability.
52% of French people already use AI in stores to compare prices before making a purchase (OpinionWay for Vusion, March 2026).
Omnichannel retailing demands absolute consistency. Different prices online and in physical stores undermine customer trust.
Competition from pure-players is fierce. They force companies to respond almost immediately in order to survive.
Automation vs. control: what tools really change
The best pricing software in 2026 must process large volumes of data to free up time for teams. It separates automated execution from human strategy. This results in a tremendous increase in efficiency.
The algorithm suggests relevant changes. However, the business team always has the final say on the final prices.
We’re moving away from vague intuition. The decision is finally quantified and precise.
For what types of retailers (supermarkets, specialists, e-commerce, chains)?
Large retailers and specialty stores handle massive volumes of products. E-commerce prioritizes speed above all else. Retail chains focus primarily on local standardization. Each type of business requires a solid technological foundation to manage its assets.
Each format has its own constraints. BOOPER adapts to these specific business requirements seamlessly. The ultimate goal remains the overall performance of your sales network.
The 10 essential criteria for choosing pricing software
To find the best pricing software for 2026, you need to carefully evaluate these ten technical and functional criteria.
1) Price positioning & alignment rules (KVI, gaps, index)
Managing KPIs requires surgical precision. The tool must track metrics against competitors while monitoring the strategic gaps that drive customers away.
Alignment rules automate this monitoring. They ensure that your price image never deviates, regardless of fluctuations in the local and digital market.
2) Price elasticity & margin optimization (markdown/promotion/regular)
Calculating price elasticity is no longer optional. This solution predicts how a price increase will affect your sales volume, serving as the lifeblood of your overall profitability.
It handles all types of pricing. From regular shelf stock to aggressive end-of-season markdowns, every penny is carefully considered.
3) Monitoring Competitive : data collection, frequency, reliability
Data scraping must be clean and up-to-date. Outdated data leads to ill-informed and costly decisions. The frequency of data collection should align with the pace of your actual sales.
Product matching is the foundation. Comparing identical references without error remains the absolute basis of the pricing profession today.
4) AI & forecasting: demand, cannibalization, seasonality
Predictive models forecast crowd movements. AI detects spikes in demand and seasonal trends to help you avoid selling off your inventory unnecessarily.
Beware of cannibalization. Lowering the price of one item should not kill sales of neighboring products. The algorithm must consider the entire shelf.
5) Simulation / “what-if” scenarios (prior to deployment)
Testing before implementation is a game-changer. We simulate a new strategy to assess its theoretical impact on margins, thereby limiting actual financial risks.
It serves as a safety net for decision-makers. We validate assumptions with concrete data rather than relying on intuition, which can often be misleading.
6) Management of promotions and mechanics (2+1, lots, crossed-out prices)
The system must be able to handle complex mechanics. Bundles, 2+1 or immediate discounts, everything must run smoothly. The current promotional fatigue requires extremely precise targeting.
The profitability of operations remains the ultimate judge. Every euro invested in a promotion must prove its immediate or deferred accounting value.
7) Governance & workflows (rights, validations, traceability)
Control is the key word. Who modifies what? The system tracks every click and every rate change to ensure complete internal transparency.
Approval workflows simplify life. Managers approve sensitive transactions in the blink of an eye, without wasting time on unnecessary email exchanges.
8) IS integration (ERP/POS/PIM/e-commerce/BI)
The tool doesn't operate in isolation. It constantly communicates with your ERP and PIM systems. Data flows must move seamlessly without any technical friction.
The price reduction is the final step. The new price must be updated immediately at the checkout or on your website to ensure consistency across all platforms.
9) Deployment & time-to-value (implementation, change management)
The speed of implementation often determines success. A project that drags on for two years often ends up on the back burner. We aim for tangible results within a few months.
People remain at the heart of the process. Your teams need to get comfortable with the interface so that their efforts can truly make a difference in day-to-day operations.
10) ROI & KPIs (margin, volume, revenue, price image, availability)
Success is measured by the bottom line. We track gross margin growth and revenue growth. Perceived value for money has become a key indicator.
An in-depth analysis of perceived price can lead to a margin increase of 1 to 2 points (McKinsey, “How retailers can improve price perception—profitably,” 2016).
Don't forget about availability. A perfect price on an empty shelf is a wasted opportunity. Inventory and price are two sides of the same coin.
2026 comparison: what types of pricing tools are available?
The market has evolved into several segments, each addressing distinct challenges.
Pricing Optimization Software (assessment + recommendations)
These tools analyze historical data to identify margin leaks. They pinpoint exactly where money is being lost. This is the first step toward understanding your strategy.
The tool suggests corrections without applying them. You retain control over every final decision.
Great for beginners. It's perfect for setting up a data workflow without automating everything all at once.
BOOPER offers its own pricing tool, designed to turn this analysis into a concrete action plan.
Pricing optimization (algorithm/AI + business constraints)
Advanced algorithms analyze elasticity and inventory levels to determine the optimal price. Price management becomes highly precise. Precision finally replaces intuition and spreadsheets.
The system takes your business requirements into account. We strictly adhere to minimum margins and suggested retail prices.
This is at the heart of BOOPER's expertise in pricing tools. We combine computing power with business rules to deliver results.
Competitive pricing / price monitoring
This family continuously tracks competitors' prices online, providing a true competitive analysis rather than just a simple price survey. It alerts you in the event of a major price drop. You no longer have to be at the mercy of the market.
Responsiveness is key. We quickly match our competitors' promotions to stay in the game.
Beware of price wars. Blindly matching prices can destroy your brand's value.
Promotion & markdown optimization
These solutions calculate the right discount to clear out inventory. This prevents waste at the end of the product's life cycle. Profitability is maintained.
We plan the year's key events. The promotional pricing calendar becomes more flexible and transparent.
Very useful in the fashion industry. Short production cycles require a high degree of precision that humans alone can no longer guarantee.
End-to-end pricing suite (from diagnosis to deployment)
These platforms cover the entire product lifecycle. Everything is centralized in a single interface. Management becomes comprehensive.
Cross-departmental collaboration is improving. Teams are finally able to rely on a single, reliable source of data to make decisions.
This is the target vision. It leads to greater consistency and operational efficiency in the long term.
That is exactly the principle behind MPS, BOOPER's modular pricing solution: a single platform that covers the entire cycle, from assessment to deployment.
2026 Selection: examples of tools and "when to choose them"
The final decision depends on your data maturity and your immediate operational priorities.
Tools focused on pricing optimization (ideal margin/volume)
These solutions are designed for high-volume retailers. They help you find the best pricing software for 2026 to increase margins on thousands of SKUs.
Here, AI balances volume and net profitability. It’s a precise process.
BOOPER stands out in this area with its explainable AI and business rules engine: Coopérative U uses the platform to manage several million prices per year across more than 1,700 stores.
Competitive intelligence tools (ideal for monitoring the competition)
In competitive markets, staying informed is crucial. If your customers are comparing everything, get real-time alerts about your competitors’ moves so you can stay in the game.
Automating data collection frees up your teams. It saves valuable time on data entry.
Useful for e-commerce. The battle is won or lost on immediate visibility.
Promotion/markdown-oriented tools (ideal for retail with deep discounts)
The apparel and fresh food sectors require strict management of markdowns. The goal is to clear inventory without sacrificing profit margins, using high-performance algorithms.
Optimizing sales is easy. We adjust the discount based on remaining inventory.
Reducing unsold inventory is essential. It is a major economic challenge for 2026.
Data and forecasting tools (advanced management ideal)
Expert systems provide detailed models of customer behavior. Demand forecasting becomes the cornerstone of a pricing strategy that anticipates rather than merely reacts.
Integrating external data is a game-changer. Weather conditions affect your seasonal sales.
Planning ahead leads to better inventory management. Price becomes a key factor in logistics.
And when to favor a customized/supported approach
Standard tools sometimes fall short when it comes to your business processes. When off-the-shelf software limits your performance, expert guidance becomes essential.
Building a competitive advantage takes boldness. Develop algorithms tailored to your brand.
BOOPER offers this advice. We build solutions that are tailored to your needs.
Comparison Chart
Here is a summary to help you determine which solution best fits your actual needs.
Recommended columns
This summary allows you to compare the strengths and weaknesses of each approach to find the best pricing software for 2026. It serves as a guide for your upcoming request for proposals. You'll get a clear picture at a glance.
| Tool family | Primary use case | Strengths | Limits | IT integration |
|---|---|---|---|---|
| Pricing Optimization Software | Ray analysis | Omnichannel visibility | Limited action | Average |
| Pricing Optimization (AI) | Improvement in margins | Application forms | Lack of clarity | Strong |
| Monitoring Prices | Price monitoring | Quick setup | Tactical vision | Low |
| Promotion/Markdown | End-of-line management | Compliance with the MAP | Need for rules | Average |
| End-to-End Suite | Full control | Return on investment | Rigorousness required | Strong |
It is worth noting that the complexity of integration varies depending on the scope of the project. The benefits are proportional to the effort expended. Your choice will depend primarily on your internal resources.
How to deploy pricing software without disrupting operations
The tool is only half the solution; the other half lies in the deployment method.
Step 1: Framing (objectives, categories, rules)
You can’t change everything all at once. Identify your pilot product lines and set specific margin goals. This approach prevents you from spreading your efforts too thin.
Set firm price limits. These safeguards protect your brand image on a daily basis.
Get your team on board. Everyone needs to understand the direction we’re heading in to ensure a smooth transition.
Step 2: Data quality + product repositories
Clean up your databases. Without clean data, AI will produce costly errors. It’s the most thankless task, but it remains the foundation of your future pricing performance.
Verify product matches. Your products must align perfectly with those of your identified competitors.
Automate data flows. Ensure that data flows smoothly between the ERP system and the tool.
Step 3: Pilot program in one area (category/region)
Test the system under real-world conditions on a specific region or category. Fine-tune the algorithms without throwing the whole operation into disarray. This cautious approach pays off during the final global rollout.
Take a close look at the initial indicators. Compare the pilot store’s figures with those of the rest of the chain.
Fix the remaining bugs. The pilot project serves as a testing ground for resolving the final technical issues encountered.
Step 4: Industrialization + monitoring + team training
Take your entire catalog to the next level. Keep a close watch to block any suspicious algorithmic deviations. Vigilance now replaces pure intuition in your decision-making.
Train your category managers. They need to master the interface so they can regain control of their strategic levers.
Highlight the margin gains. These tangible successes bring teams together around this new standard.
Common mistakes (and how to avoid them)
Many projects fail for human or organizational reasons rather than technical ones.
Choosing a tool that is "too powerful" without data/resources
Wanting the best pricing software in 2026 doesn't mean buying a Formula 1 car to drive around town. Your tool should match your current processing capacity.
Do you have the analysts to run the system? Take an honest look at your internal resources before making a decision.
A well-managed solution is better than a complicated mess. Start simple to ensure success.
Do not define business rules (safeguards)
Maintaining strategic control is vital. AI can generate absurd prices if not given clear boundaries. Business rules protect your brand image.
Set specific limits. For example, you can set maximum daily price fluctuations.
Trust but verify. People remain the guarantors of the overall consistency of your offering.
Forget about business UX (validation, exceptions, workflows)
Think about the end users. If the interface is too complicated, no one will use it. The tool should make life easier for teams, not unnecessarily complicate it.
Handling exceptions. It must be possible to manually override a price in case of an emergency or unforeseen circumstance.
BOOPER focuses on simplicity. Our screens are designed for field staff.
Measuring ROI solely on revenue (instead of margin + price image)
Focus on the right metrics. Generating revenue while losing money is a classic trap. Net margin is the only true measure of success.
Keep an eye on your brand image. Don’t ruin customer perception for the sake of immediate short-term gains.
Analyzing customer loyalty. Effective pricing builds a lasting and healthy relationship with your audience.
Which pricing software is “the best” in 2026?
Ultimately, the answer isn't found in a list of features, but in how well it aligns with your core values.
The best = the one that aligns with your objectives + your IT constraints + your organization
Choosing the best retail pricing software in 2026 isn’t just a matter of following trends. The ideal solution integrates seamlessly into your IT architecture. Above all, it must speak the language of your customers.
Plan ahead. Your needs are bound to change. Your solution must be able to scale with your data volume without ever experiencing technical slowdowns.
BOOPER favors a pragmatic approach. We focus on real price performance rather than theoretical promises. Decision support remains our priority.
Final mini-checklist (5 questions before making a decision)
Don’t sign anything without pressing the service provider for details. Data and infrastructure are the lifeblood of the operation. Make sure these critical points are in order before committing.
- Can the tool handle my margin requirements by category?
- How long does it typically take to integrate with my current ERP system?
- Does AI explain its decisions, or is it a black box?
- What level of personal support is included in the contract?
- Can I test the solution on a limited scale before committing to it?
Head over to our AI-powered pricing tool to turn these criteria into a detailed action plan with specific cost estimates. For a comprehensive view of the entire cycle—from assessment to implementation—check out our modular MPS pricing solution as well.
A demo is worth more than a thousand brochures. Contact us for an audit. Now is the time to take concrete action.
See also: How to Choose a Tool for Tracking Competitors’ Prices.
FAQ
There is no single pricing software solution that is universally better: the choice depends on the industry, the number of SKUs, the store network, the sales channels, the level of data maturity, and the retailer's objectives.
This article organizes the evaluation around 10 criteria —KPI positioning, elasticity, competitive monitoring, AI forecasting, what-if simulation, promotion management, governance, IT integration, time-to-value, and ROI—and identifies five categories of tools, ranging from simple “ Pricing Optimization Software ” tools to end-to-end suites.
Solutions worth considering include BOOPER, Revionics, Blue Yonder, Increff, and Wiser, each with different scopes. BOOPER, a French software provider specializing in pricing, stands out for its combination of explainable AI, a business rules engine, and validation workflows tailored to French-speaking retailers.
The mini-checklist provided at the end of this article—five questions about margin constraints, ERP implementation time, AI explainability, support, and the ability to test on a limited scale—remains the best starting point before making any decision, as does the list of truly essential features for pricing software.
The choice depends on the industry, the number of SKUs, and the desired level of automation. Here are 5 solutions to consider:
- BOOPER — a French software company specializing in explainable AI and business rules engines for the retail sector (30 clients, with operations in France, Poland, Vietnam, and Thailand).
- RELEX Solutions — a demand planning and pricing suite for the retail industry.
- Revionics (Aptos) — price optimization for large retail chains.
- Blue Yonder — a supply chain platform that integrates pricing.
- Wiser — Competitive Intelligence and Repricing for E-commerce.
These five profiles correspond to the five categories of tools described earlier in this article: from simple “ Pricing Optimization Software ” to end-to-end solutions.
Effective pricing software should be chosen primarily based on your industry, the complexity of your pricing policy, and your profitability goals—not on a generic ranking.
This article recommends verifying whether the tool can meet your 10 key criteria: product volume, sales channels, business constraints, and integration with your ERP, PIM, e-commerce solution, or business intelligence tool.
An effective solution must also be able to simulate the impact of pricing decisions, analyze competitors’ prices, and calculate price elasticities—the three capabilities that distinguish “ Pricing Optimization Software ” software from a true optimization suite.
The recommended approach remains a customized demo or a proof of concept on a limited scale—before making any commitment—to verify that the tool integrates seamlessly into your existing IT architecture —as defined in this article for a pricing tool.
The price varies depending on the number of users, the volume of records to be managed, the available features, the level of automation, and the support services offered—there is no standard rate.
For an SME, this article notes that these solutions are generally offered as SaaS, in the form of a monthly or annual subscription, with the cost depending on the modules selected: pricing optimization, sales forecasting, competitive intelligence, simulations, or artificial intelligence.
Beyond the purchase price, the article emphasizes the importance of assessing the expected return on investment: increased profit margins, time saved by teams, and improved quality of pricing decisions—benefits documented by McKinsey to yield up to a 1- to 2-point increase in profit margins based solely on the perceived price lever.
The mini-deployment plan described in this article—scope definition, data quality, pilot, and scale-up—also makes it possible to spread the cost over time rather than committing the entire budget in the first month; the comprehensive 8-step method details each milestone.
Feedback generally highlights the ability of pricing software to improve margins, speed up decision-making, and automate pricing analyses.
This article lists the most popular features: what-if simulations, AI-based recommendations, decision-making dashboards, and data centralization—four of the ten criteria detailed above.
The most common criticisms center on the quality of the data available upstream, the complexity of IT integration projects, and the level of support provided—three issues that this article specifically lists among the common mistakes to avoid during a deployment.
Before making a decision, the article recommends reviewing customer case studies similar to your business and evaluating the results achieved based on concrete metrics: margin, revenue, sales volume, or the productivity of pricing teams—the 7 pitfalls to avoid in your pricing strategy cover precisely these key considerations.
The best pricing software is the one that meets the specific needs of your business: a distributor, a manufacturer, an e-commerce business, or a retail chain do not face the same pricing constraints or have the same data sources.
This article recommends starting with your goals before comparing software providers: improving margins, boosting competitiveness, optimizing promotions, automating decisions, or forecasting demand—each of which corresponds to a different category of tools among the five described above.
Next, we need to analyze the specific features: AI capabilities, simulation capabilities, business rule management, integration quality, and change management support—the criteria that distinguish a “ Pricing Optimization Software ” software solution from an end-to-end suite.
A truly tailored platform must also be able to evolve alongside your organization: this article reminds us that your needs will change, and that the solution must scale with your data volume without experiencing technical bottlenecks—which is why it’s important to start with a 5-step method for building your pricing strategy.
Modern pricing software must cover the entire pricing decision-making process: margin analysis, competitor price tracking, simulations, sales forecasts, elasticity calculations, promotion and markdown management, business rules, and approval workflows.
This article provides a detailed overview of these ten pillars, ranging from KVI positioning to governance and traceability, including demand forecasting, cannibalization, and seasonality.
The best platforms include dashboards, automatic alerts, and connectors to ERP, PIM, CRM, e-commerce platforms, and business intelligence tools—the IT integration criterion that this article ranks eighth in its evaluation grid.
Without this comprehensive functional coverage, the tool risks remaining nothing more than a passive dashboard rather than a true tool for managing margins—as highlighted by this article’s distinction between “ Pricing Optimization Software ” and “pricing optimization”—a dashboard that must track the right pricing KPIs.
For an international company, a pricing solution must manage multiple countries, currencies, languages, tax systems, and sales strategies simultaneously, while maintaining overall consistency.
It must also make it possible to establish an overarching governance framework while allowing local teams the flexibility to adapt certain parameters based on market conditions—the same principle of governance and workflows that this article details in the seventh of its ten criteria.
The most sought-after features remain multi-country management, scenario simulation, regional analysis, artificial intelligence, and sales forecasting—an architecture capable of processing large volumes of data in real time.
This is typical of an end-to-end suite—the fifth family of tools described in this article—which centralizes the entire product lifecycle within a single interface rather than using multiple tools per market—provided it is based on a pricing organization with clearly defined roles.
This is precisely the approach taken by MPS, BOOPER’s modular pricing solution: a single, modular foundation that can be activated country by country based on the maturity of each market.
The market includes solutions specializing in price optimization, dynamic pricing, competitive intelligence, promotions, sales forecasting, and artificial intelligence applied to pricing—some for retail, others for manufacturing, e-commerce, or B2B.
This article breaks down this market into five categories: Pricing Optimization Software (diagnostics), pricing optimization (AI + business constraints), competitive pricing/monitoring, promotion and markdown optimization, and end-to-end suites—each addressing a different need.
Rather than ranking providers, it is better to compare their ability to address your business challenges: the quality of their algorithms, simulation capabilities, the level of explainability of their recommendations, and how easily they integrate with your information system.
The comparison table in this article specifically cross-references these five categories with their strengths, limitations, and level of IT integration to assess each solution before issuing a request for proposals—an approach similar to the 7-step strategic pricing method.
Traditional pricing software primarily applies fixed rules defined by business teams, such as margin thresholds or pricing factors—a static approach.
Anartificial intelligence -based solution goes a step further by automatically analyzing sales, competitor prices, purchasing behavior, seasonality, promotions, and inventory to predict the impact of a price change before it is implemented—this is criterion 4 described in this article (AI & forecasting).
AI thus makes it possible to recommend the most appropriate prices based on margin, competitiveness, or revenue goals, while allowing teams to maintain control through approval workflows —automation never replaces human judgment; rather, it supports it.
This distinction mirrors the one made in this article between " Pricing Optimization Software"—which makes suggestions without implementing them—and "pricing optimization," in which pricing engines combine elasticities and inventory levels to find the optimal price under given constraints—the details of how an AI pricing engine works explain this mechanism step by step.
The best margin-optimization software is the kind that sustainably improves margins without compromising competitiveness: it combines AI models, price elasticity calculations, sales forecasts, competitive analysis, scenario simulations, and customizable business rules.
This article ranks this capability as the second of its ten criteria— price elasticity and margin optimization —noting that it must cover all types of pricing, from regular shelf stock to end-of-season markdowns.
An effective platform must identify the products for which a price increase or decrease will generate the most value, while taking into account business objectives and actual consumer behavior—not just volume, but perceivedprice image.
This article quantifies this last point: according to McKinsey, advanced analysis of the price charged alone can yield an additional 1 to 2 percentage points in margin—a gain that is often overlooked when ROI is measured solely in terms of revenue—hence the importance of thoroughly understanding the definition and calculation of price elasticity early on.
Pricing software is a platform that enables a company to set, manage, analyze, and optimize its selling prices based on internal and external data: costs, sales history, margins, competitor prices, promotions, and inventory.
This article details how it works in 10 functional steps: from KPI positioning to governance, including elasticity, competitive monitoring, demand forecasting, and what-if simulations prior to any deployment.
The most advanced solutions useartificial intelligence to forecast demand, calculate elasticities, simulate multiple scenarios, and estimate the impact of a price change before it is implemented—this is the difference between Pricing Optimization Software and pricing optimization.
These platforms typically integrate with ERP, PIM, CRM, and e-commerce platforms—a prerequisite highlighted in this article to ensure that the new price is instantly reflected at the checkout or on the website, without disrupting omnichannel consistency. The distinction between strategic pricing and tactical pricing helps clarify where the tool comes into play.
The best solutions combine three key components: AI-driven sales and elasticity forecasts, configurable business rules, and human validation of recommendations. AI without rules or oversight produces prices that are impractical. So be sure to evaluate both the explainability of the recommendations and the model’s performance. See what truly falls under the umbrella of AI in pricing.
For a retail chain, look for software that manages pricing by store, by region, or by cluster, with centralized control of rules and an approval process. Make sure it can handle several thousand SKUs without manual intervention and that it maintains an audit trail. See store-level geopricing.
The term “price optimization” encompasses a wide range of tools: some optimize prices based on price elasticities, while others focus solely on competitive intelligence. Compare the scope of coverage (price elasticities, simulations, promotions, markdowns), the level of explainability, business support, and pricing transparency. See the 2026 comparison guide.
The key takeaway: Most organizational transformation projects fail because of issues with change management, not because of the technology itself.
An enterprise pricing project succeeds when it combines a phased rollout (scope definition, pilot, full-scale implementation), clear roles on both sides, and thorough training for frontline teams. Key finding: Organizations that clearly define roles and communicate project progress are significantly more likely to succeed in their transformation.
Pricing is based on three principles (costs, perceived value, competition) and four categories of methods: cost-plus, perceived value, competitive alignment, and dynamic pricing. Pricing sets a price; pricing drives a decision.
The right price is not universal: it depends on the price elasticity of each SKU, its role in the product lineup, and the legal framework governing promotions. In retail, it is the margin achieved—by SKU and by region—that determines a price, not the listed price.
Since May 28, 2022, the crossed-out price in a promotion must correspond to the lowest price actually charged during the previous 30 days, not to a price that was artificially inflated the day before the sale. A simple rule on paper, but one that is regularly circumvented in practice: during Black Friday 2025, UFC-Que Choisir once again called out several major retailers for discounts deemed misleading.
This guide is based on two key observations—strict regulations and increasingly wary consumers—to address a practical question: How can a retailer design a Black Friday campaign that protects its profit margin without risking an audit by the DGCCRF or damaging its brand image? A 5-step method, backed by verified data. Ensuring compliance across all promotional activities is the purpose of BOOPER’s Promotion Management module.