Summer promo: -35% off plug-in costsAll-year promo: -70% off plug-in costs if currently served by another vendorSummer promo: -35% off plug-in costsAll-year promo: -70% off plug-in costs if currently served by another vendor
WIPOUNGMAWSCVGRAMBusiness VantaaVHPTSijilatLinkedIn

Intelligence prix europeenne pour equipes retail enterprise.

Getrealprice surveille les prix concurrents quotidiennement dans plus de 40 pays — parsing rapide, matching verifie et analytique IA e-commerce.

40+pays avec monitoring actif
100Mprix mis a jour quotidiennement
2.7Bproduits en base
12+annees de service enterprise

Why Getrealprice

Avantages competitifs solides en procurement.

Nous travaillons avec les plus grands acteurs retail et FMCG aux USA et en UE. Les cas d'intelligence prix sont generalement non publics — voir getrealprice.com et LinkedIn. Programme References : appels de 5–10 minutes avec des clients UE existants.

Fast, non-disruptive parsing

Dedicated crawling farms, source-specific schedules and rapid parser recovery keep competitor sites stable while data flows on time.

Super-accurate matching

Technologie brevetee : CIS – Local Software ; Europe – WIPO #1448888 ; USA – Library of Congress ; UNGM – 968398 ; EU PIC – 869438452.

Price monitoring for price monitoring

We benchmark our own commercial pricing per country — researched in Polish for Poland, Czech for Czechia — so clients always receive more value than alternatives.

Pret pour l'economie de l'ere des agents IA

Structured product feeds, API delivery and machine-readable outputs prepare e-commerce data for AI agents and automated pricing workflows.

Filtered price match sample for AI agents

Exemple d'export price-match filtre pour agents IA et PIM e-commerce.

Telecharger price_match_filtered.xls
Getrealprice monitoring coverage map
Active monitoring in 40+ countries, including 15 EU markets.

Getrealprice.ai

Analytics that show who follows whom on pricing.

The 2026 dashboard adds an AI layer with local model interpretation — speak with your dashboard through RAG, reduce cognitive load and surface actionable pricing signals.

RAG sur le dashboard

Posez des questions en langage naturel — reponses basees sur vos donnees de marche.

RAG dashboard recap example

Competitor behavior analysis

Follower score, reaction rate, average lag and fast-reaction share reveal which retailers lead price moves and which follow.

Market health overview

Products needing attention, volatility signals and competitor pressure scores in one daily view.

Brand intelligence

Brand-level development plans, portfolio pressure and cross-retailer brand positioning.

SKU-level intelligence

Drill down to individual products — detect patterns, forecast prices and track promotion cycles from pre-computed signals.

Constructeur de panier

Modeliser les prix sur une liste d'achats et comparer les totaux entre enseignes.

Tests d'hypotheses

Valider les hypotheses de pricing par modelisation avant de changer vos prix.

Motifs de prix

Visualiser cycles recurrents, fenetres promotionnelles et clusters.

Exemple live — pharmacie Lettonie

Colored retailer names below reflect real monitored sources in a pharmacy and cosmetics cluster — the same product-matching backbone scales to grocery, DIY and electronics.

*otino.lv*pothekaBe*u.lvDou**asE-euroapt*eka

Getrealprice.ai

Daily intelligence over your market.

Teams see what changed overnight, which products need attention, which competitors moved aggressively and where pricing opportunities appear.

  • Product-level price movements, promotion changes and gap analysis.
  • Review queues, alerts and management-ready PDF reports.
  • Price indices, essential baskets and abnormal movement signals.
Daily price intelligence animation

Sample reports

Voir des donnees reelles (legerement anterieures)

Open anonymous executive pricing intelligence reports by retailer. PDF downloads available next to each source.

Enterprise readiness

Built for procurement-grade requirements.

Our infrastructure satisfies enterprise RFP criteria — from SFTP delivery and multi-frequency schedules to 24/7 support options and shared GitLab issue tracking.

Getrealprice assigne un interlocuteur dedie de chaque cote — matching, category management, IT, marketing et pricing via GitLab partage.

matching

Product matching at scale

Matching EAN et non-EAN — jusqu'a 300 000 correspondances par semaine.

delivery

Flexible data delivery

SFTP, HTTPS, XLSX, CSV, JSON, API feeds, GCS, Azure and custom templates — zero integration setup cost for clients.

frequency

Multi-frequency schedules

Hot products 4× daily, 1P twice daily, 3P daily — plus on-demand crawling for Black Friday, Christmas and special events.

scale

Scalable infrastructure

Proxmox cluster in Amsterdam, 500+ rendering cores (5,000 activatable in one week), 56,000+ IPs per country with full rotation.

support

Enterprise support

Dedicated contact person, email, phone, WhatsApp, Telegram and self-hosted GitLab shared with your team. Optional 24/7 duty engineer.

integration

Quick onboarding

New SKU in scanning: next day. New platform: 1–3 days. New price cluster: 1 day. Free user training for the first three months.

Controlled data quantity delivery

Integrations

Every delivery option your IT team expects.

From dashboard access for manual review to automated feeds into your data warehouse — all integration paths included at no setup cost.

XLSX / CSV / JSONHTTPS / SFTPAPI-style feedsGCS / AzureDashboard accessSelf-hosted GitLab

B2B pricing teams

Dashboards, alerts, review queues and export files for category management, pricing and procurement workflows.

Public-sector observatories

Observed prices become high-frequency market signals, basket monitoring and audit-friendly methodology notes.

Data delivery

XLSX, CSV, JSON, API-style feeds, SFTP, cloud storage or management-ready PDF reports.

Anonymous report examples

Sample reports show pricing queues, market pressure, abnormal price movements and public-market summaries.

Public market price movement analysis

B2G

Country-level consumer price observation

For chambers, statistics centers and economic boards — transparent consumer price datasets with audit-friendly methodology notes.

Planifier versions B2G locales

Self-hosted infrastructure

Compute independant et modeles IA locaux.

Getrealprice operates its own rendering software watcher and balance manager across a GPU and CPU farm — local AI models run on owned hardware without dependency on third-party inference APIs. Rendering farms scale from 500 active cores to 5,000 activatable within one week.

Sustainable development

Aligned with UN SDG 2030 goals.

Transparent price data supports fair markets, informed consumer choices and evidence-based public policy.

Getrealprice est partenaire enregistre sur la plateforme UNGM (#968398). ungm.org

UNGM partner logo
SDG 8

Decent work and economic growth

Enterprise-grade monitoring creates skilled jobs in data operations while helping retailers compete fairly.

SDG 9

Industry, innovation and infrastructure

Patented matching technology and EU-hosted infrastructure advance retail data innovation.

SDG 12

Responsible consumption and production

Price transparency reduces information asymmetry — buyers see real differences across stores and channels.

Source difficulty

Un budget rigoureux commence par un classement honnete des sources.

Before quoting, Getrealprice classifies each competitor site by operational difficulty. Easy sources keep monitoring costs predictable; nightmare sources require dedicated infrastructure and affect both setup and monthly fees.

Facile

Stable public pages, standard e-commerce markup, predictable response times and no active anti-bot layer — lowest monitoring cost per SKU.

Moyen

CDN layers, platform-specific rendering, rate limits or mobile-app endpoints — needs source-specific schedules and moderate operational overhead.

Difficile

Bot management, CAPTCHA triggers, frequent layout changes or partial catalog visibility — requires dedicated parser maintenance and higher per-site fees.

Cauchemar

Aggressive blocking, legal restrictions, app-only catalogs or sources that change anti-crawling weekly — scoped separately with explicit risk disclosure before contract.

Budget estimate

Budget indicatif de monitoring.

Adjust competitors, product count and update intensity. Existing vendor migrations should go straight to consultation.

Linear monthly pricing based on competitor count and product volume — not traffic-based. ~70% accuracy; final scope validated in consultation.

Contact

Quatre facons de contacter notre equipe.

Enterprise clients choose the channel that fits their procurement and security requirements.

Trust

Procurement and public trust signals.

AWS
WIPO
Business Vantaa
UNGM
Sijilat
LinkedIn

Commencez par une conversation sur le perimetre.

Whether you need 8 competitor sites or 80 — we will map the monitoring architecture before the first invoice.

Estimer votre budget