CTR marketplace monitoring
Data Intelligence
Marketplace price monitoring for a Korean automotive parts manufacturer across Wildberries, Ozon and Yandex Market.
NEXUS SOLUTION / DATA INTELLIGENCE
Collecting data is not enough.You need to understandwhat it means.
We create web scraping and automated data collection systems for websites, marketplaces, price monitoring and internal sources, then turn that data into decisions.
01 / HOW IT LOOKS TODAY
Data exists,but decisions do not follow.
01
data lives on websites, marketplaces and internal systems
02
monitoring is manual
03
the company notices changes too late
04
collected data is not analyzed
05
AI is disconnected from real workflows
02 / COST OF INACTION
What the businessloses.
01
slow market response
02
missed price and demand changes
03
manual work instead of decisions
04
data errors
05
AI without practical impact
03 / THE SYSTEM
How an intelligentdata system should work.
Data is collected automatically, cleaned, connected, analyzed and returned to the business as reports, signals, forecasts and management decisions.
04 / CAPABILITIES
What can beincluded.
01
web scraping
02
marketplace monitoring
03
price monitoring
04
demand signals and market data
05
assortment analysis
06
competitor intelligence
07
tender collection
08
review analysis
09
internal data collection
10
data cleaning and unification
11
AI classification
12
AI analysis
13
anomaly detection
14
forecasting
15
automated reports
16
BI dashboards
17
alerts
PROVEN IN PRACTICE
Data collectionas infrastructure,not a one-off task.
Showing real proof points: CTR, Land Intelligence and accumulated data collection infrastructure for marketplaces, tenders and specialized sources.
Land Intelligence
Data Intelligence / Analytics
Automated auction data collection and land-value analysis.
Data Collection Infrastructure
Automated data collection
Marketplace, tender and specialized-source monitoring built by the team before NEXUS.
Marketplace Data Infrastructure
Data Collection / Analytics
Monitoring systems for marketplace sources with regular updates, processing and delivery into an analytics layer.
05 / SCENARIOS
Examplescenarios.
Marketplaces
Monitoring prices, assortment, reviews and competitor moves.
Sales and demand
Collecting external signals and analyzing patterns that influence demand.
Market Intelligence
Competitor, pricing, demand and external data monitoring for growth decisions and new market launches.
Internal data
Connecting scattered sources into an analytics infrastructure.
06 / HOW THE WORK MOVES
How the workmoves.
01
We define which data can influence decisions.
02
We select sources and the collection method.
03
We build cleaning, storage and analysis layers.
04
We add BI, AI, reports and alerts.
05
We refine the model as new data appears.
08 / WHY NEXUS
WhyNEXUS.
We do not treat AI as a separate toy. It is used where it helps interpret data, find patterns and improve decisions.
We treat the challenge not as isolated development but as part of the business system and the NEXUS ecosystem.
09 / CTA
Describe the datayou currently collect manually.
We will examine sources, frequency, data quality and the decisions it should support.