Modules
Pricing Analytics
What is Pricing Analytics?
Pricing Analytics brings together all statistical, econometric, and artificial intelligence methods used to measure the impact of prices on demand, margins, and commercial performance. It draws on sales histories, competitive data, customer signals, and contextual variables (seasonality, weather, catchment area) to produce actionable indicators: elasticity, cannibalization, threshold effects, and performance scenarios.
What is the difference between Pricing Analytics and Price Optimization?
Pricing Analytics provides analytical insights (elasticity models, store segmentation, inter-product relationships), while Price Optimization transforms these analyses into operational recommendations for optimal prices according to a defined strategy (margin, volume, price image, inventory). BOOPER unifies these two dimensions in a single decision-making engine.
What is Dynamic Pricing?
Dynamic pricing involves continuously adjusting prices based on various internal and external factors: changes in demand, inventory levels, seasonality, competitive positioning, price elasticity, margin targets, and commercial constraints. Unlike a static approach (one-off price review), dynamic pricing is based on business rule scenarios and optimization algorithms that enable companies to offer the "right price, at the right time, on the right product," while remaining aligned with the brand's commercial strategy and price image.
Are there any limits to the integration of our business rules?
No, the solution works in the form of scenarios combining an unlimited number of business rules. Each customer can model their own constraints and decision-making logic:• margin thresholds,• rounding rules,• product hierarchies,• price positioning by universe or by brand,• promotional constraints,• rules for alignment or deviation from certain competitors. The scenario-based approach allows you to test several strategies in parallel (e.g., defensive vs. offensive strategy) and measure their impact before going live. This ensures flexibility, risk control, and consistency with your pricing policy.
Is it suitable for organizations with an older IT system?
Yes. The solution integrates with existing IT environments thanks to a Data Loader that can adapt to your current information flows (flat files, ERP exports, databases, APIs). The goal is not to transform your IT system, but to connect to it in a pragmatic way: • retrieval of necessary data (prices, costs, sales, inventory, repositories), • processing and optimization within the solution, • return of price recommendations to your business tools. This approach limits the impact on your IT organization and allows for gradual deployment, even in technically constrained contexts.
Sales Forecasting Using AI
How does artificial intelligence improve the accuracy of sales forecasts in retail?
AI analyzes large volumes of historical and contextual data to identify patterns that are invisible to human analysis. For example, it takes into account seasonality, promotions, prices, weather, and competition to produce dynamic and continuously adjusted forecasts.
What data is needed to set up an AI sales forecast?
MPS primarily uses historical sales, prices, promotions, commercial calendars, store data, and external drivers (weather, events, competition). The richer the data, the more accurate the models. We recommend a minimum of one year of historical data.
What is the difference between a traditional statistical forecast and a machine learning forecast?
Traditional methods rely on averages and past trends. Machine learning integrates hundreds of variables simultaneously, detects non-linear relationships, and automatically adapts to changes in consumer behavior.
How does sales forecasting help optimize inventory and the supply chain?
By more accurately anticipating future demand, MPS makes it possible to adjust order volumes, reduce shortages and overstocking, improve service levels, and limit the financial immobilization associated with inventory.
What is the ROI of an AI-based sales forecasting solution?
BOOPER projects show a rapid ROI thanks to reduced investment in pricing, increased volumes, inventory optimization, reduced time spent on manual forecasting, and overall improvement in price image. The first gains are seen immediately.
Product matching: Cloning and chaining
What is product bundling in retail pricing?
Product matching, or matching in certain situations, consists of automatically identifying equivalent products between different brands or ranges in order to compare their prices, performance, and competitive positioning on a consistent basis.
How does artificial intelligence improve product pairing?
AI simultaneously analyzes labels, attributes, formats, brands, and price behaviors to detect similarities invisible to human analysis. It continuously learns from user validations to improve its accuracy. When available, AI also takes image recognition into account.
What is the difference between product cloning and product chaining?
When there is no direct association by EAN, cloning takes over and links the retailer's products with those of its competitors; this applies to both private labels and national brands. The other type of complementary relationship is chaining: the retailer's products are grouped together to establish links in terms of hierarchy, coefficients, and historical models.
How does BOOPER handle MN, private label, and budget brands?
BOOPER identifies substitutable products based on their functional attributes and price positioning in order to structure MN/MDD/PPx chains and analyze the effects of cannibalization and upmarket positioning.
Is the association fully automated?
No, although recommendations are becoming increasingly intelligent and automatic, the association requires human validation in order to train the algorithms.
Promotion management
How does AI optimize the performance of promotions in retail?
AI analyzes past sales, promotional mechanics, prices, seasonality, and customer behavior to predict the actual impact of promotions. It allows you to choose the best mechanics, the right discount level, and the right targeting to maximize ROI.
What data is needed to manage promotions with MPS?
MPS uses historical sales, promotional calendars, prices, margins, store data, inventory, and external factors (seasonality, events, competition).
Can we simulate the impact of a promotion before it is launched?
Yes. The "What If" simulation module allows you to test different promotional scenarios and measure their projected impact on volumes, revenue, and margin.
How does MPS help prevent over-promotion?
MPS identifies unprofitable promotions, measures their actual ROI, and proposes more effective alternatives. Decisions are based on objective data, not just history or intuition.
Is the solution suitable for complex, multi-country store networks?
Yes. MPS is designed for large retail accounts with multi-country, multi-store, multi-category management and centralized governance while maintaining local flexibility.
Markdown and clearance sale
How does AI improve markdown strategies in retail?
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.
What data is needed to optimize destocking with BOOPER?
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.
What is the difference between manual markdown and AI-driven markdown?
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.
Can we predict the best time to launch a sale?
Yes. BOOPER anticipates the periods when markdowns have the greatest impact on demand and avoids reductions that are too early or too late.
How can you avoid uniform markdowns that destroy margins?
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.
Diagnosis Price
What is a pricing diagnosis?
A pricing diagnosis is a comprehensive analysis of your pricing policy aimed at assessing its consistency, effectiveness, and positioning in relation to the market. It identifies concrete levers for optimization in terms of shelf space and promotions.
What data is needed to perform a price diagnosis?
BOOPER relies primarily on your sales data, price lists, promotional history, store data, and competitor price reports. The richer and more reliable the data, the more accurate the recommendations.
How does the BOOPER price diagnosis differ from a traditional audit?
The BOOPER diagnosis combines retail expertise, artificial intelligence, and advanced analytics (ABC, clustering, price mapping). It goes beyond simple observation to offer quantified scenarios and quick wins that can be implemented immediately.
Can we measure the impact of recommendations on margins and price image?
Yes. Each recommendation is accompanied by a quantitative and qualitative estimate of its effects on margin, revenue, and price positioning.
Is the diagnosis suitable for multi-store and multi-country networks?
Yes. BOOPER is designed for complex organizations with analyses by store, cluster, region, and country, while ensuring centralized governance of decisions.
Price surveys and web scraping
What is web scraping applied to retail pricing?
Web scraping involves automatically collecting prices displayed on competing e-commerce sites and marketplaces. BOOPER transforms this data into actionable indicators to guide pricing strategy.
What data sources can BOOPER integrate?
BOOPER integrates data from web scraping, panelists, field store surveys, and internal surveys. This multi-source approach ensures a comprehensive view of the competition.
How can the reliability of competitor price surveys be guaranteed?
The platform applies automatic controls: anomaly detection, data cleansing, format harmonization, and business validation. Decisions are therefore based on reliable, audited data.
Can we track price changes over time?
Yes. BOOPER archives all readings to analyze trends, measure price variations, and identify competing strategies over time.
Is the module suitable for large store networks?
BOOPER is designed for large retail accounts with multi-brand, multi-country, and multi-category management. The platform centralizes data while maintaining local granularity by store or zone.
Pricing Strategy Development
What does a BOOPER Strategic Pricing Consulting assignment involve?
It aims to define or overhaul your overall pricing strategy: positioning, governance, decision-making rules, and indicators, in order to align your pricing choices with your business objectives.
How does this differ from operational pricing consulting?
Strategic consulting focuses on the decision-making framework (vision, principles, pricing architecture), while operational consulting concentrates on day-to-day execution (pricing, promotions, reporting).
How long does a strategic mission last?
From a few weeks for a diagnosis and strategic recommendations, to several months for a complete transformation of pricing governance.
Is it suitable for food and non-food products?
Yes. Our missions cover all product categories and distribution formats.
What concrete results can be expected?
A measurable improvement in margins, greater consistency in pricing, more confident decisions, and a more mature pricing organization.
Operational Pricing Consulting
What does a BOOPER Operational Pricing Consulting assignment involve?
One task involves analyzing your pricing strategy, data, and processes in order to formulate concrete and directly applicable recommendations for improving your pricing performance.
What is the difference between BOOPER consulting and a pricing tool?
BOOPER consulting provides human, methodological, and business expertise that complements the tools. It helps structure strategy, interpret data, and support change within teams.
How long does a pricing consulting assignment last?
The duration varies depending on the scope: from a few weeks for a targeted diagnosis to several months for comprehensive strategic and operational support.
What concrete results can we expect?
The main results observed are a measurable improvement in margins, greater consistency in pricing, increased promotional performance, and a reduction in uncontrolled pricing decisions.
Can BOOPER consulting be integrated into an existing data and AI approach?
Absolutely. Our missions are based on your tools and can be enhanced by BOOPER's analytical and AI solutions.
Change management
What is change management applied to pricing?
Change management in pricing aims to support teams in adopting new methods, tools, and pricing decision-making processes in order to ensure their effectiveness and sustainability.
Why integrate a change management approach into a BOOPER project?
Because a technology project without human support carries a high risk of non-adoption. Change management secures ROI and the overall performance of the project.
How long does change management support last?
The duration depends on the maturity of the organization and the scope of the project. It can range from a few weeks to several months, depending on the transformation objectives.
Which profiles are affected by change management?
Pricing, Marketing, Purchasing, Finance, and Category Management departments, as well as managers and operational users.
How can you measure the success of a change management initiative?
Through indicators such as tool adoption rates, decision quality, business performance, and user satisfaction.
Pricing Training
What is retail pricing training?
A retail pricing training course helps participants understand how prices are set, analyze the impact of pricing decisions on margins, sales volumes, and price perception, and then develop a more effective pricing strategy using data, scenarios, and modern optimization methods.
Who is a pricing training course like BOOPER's intended for?
The BOOPER pricing training program is designed for pricing managers, revenue managers, marketing and sales executives, category managers, product managers, procurement and product development executives, data/BI teams, as well as senior management seeking to strengthen their pricing culture and improve the quality of pricing decisions.
What topics are covered in a pricing training course?
A pricing training course can cover the fundamentals of strategic pricing, price elasticity, sales forecasting, pricing structure optimization, pricing scenario analysis, dynamic pricing, yield management, promotional management, and performance dashboards.
What is the difference between beginner, intermediate, and advanced pricing training?
A beginner-level course covers the fundamentals of pricing and essential pricing rules. An intermediate-level course delves deeper into price optimization, cross-price elasticities, and margin/volume scenarios. An advanced-level course helps you master dynamic pricing strategies, tackle complex scenarios, and become more proficient in using the relevant tools and methods.
Does the BOOPER training cover dynamic pricing and sales forecasting?
Yes. The BOOPER training program covers dynamic pricing, yield management, and sales forecasting to help teams better anticipate demand, adjust prices, manage promotions, and make faster and more reliable pricing decisions.
About Us
How long does it take to deploy BOOPER?
Deployment is rapid thanks to a modular architecture and Big Data technologies. The first results can be seen within a few weeks.
Are BOOPER solutions compatible with my information system?
Yes. BOOPER is compatible with all major IT environments (SAP, Oracle, Google Cloud) and integrates easily with existing tools.
What results can be expected with BOOPER?
Customers see improved margins, increased revenue, and a return on investment in less than six months.
What makes BOOPER's artificial intelligence unique?
BOOPER's AI is explainable and designed for pricing professionals. It combines predictive models, business rules, and scenario simulations to secure business decisions.
What types of companies is BOOPER aimed at?
BOOPER is aimed at retailers, store chains, and brands with large volumes of price, sales, and promotion data.
What does BOOPER offer?
BOOPER is a software publisher specializing in optimizing pricing and commercial performance for retailers using artificial intelligence.
Integration and monitoring
Does BOOPER require us to replace our existing tools?
No. BOOPER integrates with your existing ecosystem and complements your tools, while centralizing data for consistent management.
How long does it take to implement BOOPER?
As a general rule, the entire process takes four months from strategic planning to production launch, and can be adjusted according to your priorities.
Recruitment & Careers
Who should I contact for more information?
If you have any questions or spontaneous initiatives, please write to talent@booper.fr or visit our "Contact" page.
What is the inclusion and diversity policy?
If you have any questions or spontaneous initiatives, please write to talent@booper.fr or visit our "Contact" page.
What are the prospects for development?
At BOOPER, career progression is achieved through professional goals, training, and exposure to cross-functional projects.
Does BOOPER offer internships or junior opportunities?
Yes. We welcome interns and recent graduates for challenging assignments, with structured support and opportunities for extension or employment.
How does the recruitment process work?
After reviewing your application, you will be invited to meet with a member of the HR team, followed by one or more interviews with the operational teams to assess your professional and cultural skills.
What types of profiles does BOOPER recruit?
We are looking for technical profiles (data, development, AI), pricing consultants, project managers, and sales and marketing support talent. Job openings are regularly updated in our career section.