The data infrastructure behind pricing intelligence
Data Agent is the proprietary layer that collects, normalizes, validates and structures public market data at scale, and feeds every Cnova Tech product, from Omnichannel Market to Marketplace Intelligence.
Data Agent
Digital sources
Sites and marketplaces
Data Agent
Collection and structuring
Products
Dashboards, alerts and APIs
What you provide
Retail: stores and categories to track, across e-commerce sites, apps and comparison sites
Manufacturers: EANs and suggested price, on the marketplaces
Onboarding by API on every platform.
500+
Stores
150k+
Products
27
States
100M+
Collections/mo
From public data to pricing indicator, in one continuous flow
Digital sources
Marketplaces, price comparison sites, retailers' own e-commerce sites and apps, delivery apps
Resilient collection
Adaptable processes that capture data even when sources change
Intelligent matching
Equivalent products by EAN, brand, description, category and attributes
Normalization
Cleaning, deduplication, standardization and enrichment
Monitoring agents
Alerts on price changes, promotions and stock-outs, dashboards, reports and APIs
Digital sources
Marketplaces, price comparison sites, retailers' own e-commerce sites and apps, delivery apps
Resilient collection
Adaptable processes that capture data even when sources change
Intelligent matching
Equivalent products by EAN, brand, description, category and attributes
Normalization
Cleaning, deduplication, standardization and enrichment
Monitoring agents
Alerts on price changes, promotions and stock-outs, dashboards, reports and APIs
Data engineering for pricing at scale
Data quality
Automated validation, reliability scoring and traceability by source, date, store and collection status.
Coverage and scale
Infrastructure built for high volume and national coverage. Channels, categories, regions and collection frequency defined per project.
History and time series
Every collected price is versioned and stored, enabling analysis of trends, variation, promotions and competitive positioning.
From observation to recommendation
Turn market signals into context for pricing decisions.
OMO Lavagem Perfeita 2.2 kg
Illustrative example
01
Detect
3 competitors reduced their price in the analyzed period.
Competitor A
R$ 24,90
Competitor B
R$ 24,50
Competitor C
R$ 24,49
02
Explain
Your price
R$ 27,90
Observed median
R$ 24,50
Competitive gap
+13,9%
After the reduction, your price stands 13.9% above the observed median.
03
Recommend
Review the price positioning considering market, margin and commercial strategy.
Market and operation in the same analysis
When you authorize access to your platform with an API token, Data Agent starts combining market intelligence with your operational data. Each connection is assessed per project, based on the APIs of the platform you already use.
Market intelligence
Your operational data
authorized access
Connected intelligence
Orders
Rises and drops in orders explained by competitor moves.
Promotions
Your promotion against the market: a deeper discount than needed, or a price still above the competitor.
Catalog
Price or listing errors detected against the market median.
Stock
Your stock-outs crossed with competitor availability.
Shipping and delivery time
Your shipping and delivery time against competitors in the same region.
Margin
Cost and margin in price recommendations.
See Data Agent applied to your market
In the demo, we start from the stores, categories or EANs your team tracks.