Price surveys and web scraping
Monitor price trends of your competitors
BOOPER MPS automates and ensures the reliability of competitor price collection via web scraping, store surveys, and panelist data.
The platform transforms heterogeneous data into actionable indicators, providing a comprehensive, traceable, and immediately actionable competitive overview to secure pricing decisions in a volatile retail environment.
Issues
Your challenges business
Continuously monitor thousands of references and competitors
Ensuring the reliability of collected data despite the diversity of sources
Reduce the time spent on time-consuming manual records
Structure a governed and auditable price monitoring process
Have consolidated indicators by brand, geographic area, and channel
Inform strategic decisions (alignment, repositioning, differentiation)
Multi-source collection competitive prices
BOOPER automatically integrates competitive data from various sources:
- Web scraping of e-commerce sites and marketplaces
- Panelist data
- Field store reports
- Internal investigations or external service providers
This multi-source approach covers all channels: online, offline, and omnichannel.
Data is standardized in a single repository to ensure reliable price comparability.
Web scraping intelligent and secure
BOOPER uses advanced scraping technologies to collect:
- Public prices
- Special offers
- Product availability
- Variants (formats, packaging, packs)
The collection is:
- Scheduled automatically (daily, weekly, real time)
- Tailored to the specific characteristics of each site
- Secure and compliant with technical access rules
Result: continuous competitive monitoring without any operational burden on your teams.
Creation of closed lists of competing products
BOOPER allows you to precisely define the scope of your monitoring:
- Closed lists of products to be surveyed
- Selection of strategic brands and competitors
- Segmentation by category, brand, or universe
You focus your collection efforts on references that are truly decisive for your pricing policy.
Automatic cleaning and correction competitive data
BOOPER incorporates advanced data quality mechanisms:
- Price anomaly detection
- Correction of inconsistencies
- Format harmonization
- Duplicate management
Internal surveys, panelists, and web scraping are consolidated into a single, clean, and usable database.
You guarantee decisions based on reliable and verified data.
Key figures
Profits measurable
Up to 100%
automation of price collection
40 to 60 percent reduction
time spent on manual readings
Better responsiveness
in response to market movements
Dashboards and competitive indicators
BOOPER offers advanced management tools:
- Monitoring price differences by competitor
- Analysis by category, brand, store, and region
- History of rate changes
- Identifying market trends
The dashboards can be customized for pricing, marketing, and senior management teams.
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 - Price surveys and web scraping
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.
BOOPER integrates data from web scraping, panelists, field store surveys, and internal surveys. This multi-source approach ensures a comprehensive view of the competition.
The platform applies automatic controls: anomaly detection, data cleansing, format harmonization, and business validation. Decisions are therefore based on reliable, audited data.
Yes. BOOPER archives all readings to analyze trends, measure price variations, and identify competing strategies over time.
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.
The collected data feeds into BOOPER's simulation, optimization, and pricing governance modules. It enables arbitration between competitiveness, margin, and price positioning.
Benefits are quickly realized thanks to reduced manual tasks, increased decision reliability, and improved competitive responsiveness. ROI is typically achieved in less than three months.
