Automation of niche analysis for dropshipping: trends + competition
Developed a specialized solution for automating business analytics and niche finding in the dropshipping sector.
Main features:
Deep product analytics: automatic trend identification, assessment of seasonality and competition level.
Financial expertise: calculation of margin (the gap between the minimum and average market price) for making decisions about entering a niche.
Intelligent "reconnaissance": the bot analyzes data and provides recommendations for creating advertising campaigns on Facebook, automating routine information gathering.
Technology stack: deployment in Docker to ensure stable and secure operation in a local environment or on the client's server.
Automation: integration with Google Sheets for quick data display and business report generation.
Main features:
Deep product analytics: automatic trend identification, assessment of seasonality and competition level.
Financial expertise: calculation of margin (the gap between the minimum and average market price) for making decisions about entering a niche.
Intelligent "reconnaissance": the bot analyzes data and provides recommendations for creating advertising campaigns on Facebook, automating routine information gathering.
Technology stack: deployment in Docker to ensure stable and secure operation in a local environment or on the client's server.
Automation: integration with Google Sheets for quick data display and business report generation.