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Development of a Marketing Business Intelligence SaaS Platform with Web Scraping and Analytics
  1. case
  2. Development of a Marketing Business Intelligence SaaS Platform with Web Scraping and Analytics

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Development of a Marketing Business Intelligence SaaS Platform with Web Scraping and Analytics

celadonsoft.com
Business services
eCommerce
Advertising & marketing

Challenge

Need to develop a scalable BI platform for competitor analysis with time/budget constraints for MVP, requiring complex web scraping (including image-based data extraction), real-time analytics, and automated marketing insights while maintaining cost-effectiveness.

About the Client

A SaaS company specializing in marketing analytics solutions for small and medium businesses

Project Objectives

  • Deliver a functional MVP within 3 months for market validation
  • Implement core BI capabilities for competitor website analysis
  • Integrate image recognition for price data extraction from visual content
  • Create scalable architecture for future feature expansion

Core Functionalities

  • Role-based user management system
  • Automated web scraping of competitor pricing/product data
  • Visual content analysis for numeric data extraction
  • Real-time website change tracking
  • Interactive data visualization dashboards
  • Notification system for critical market changes

Technology Stack

Nest.js
Sanity
Cloud server infrastructure

External Integrations

  • Third-party image recognition API
  • Cloud storage services
  • Payment gateway for SaaS subscriptions

Non-Functional Requirements

  • High scalability for concurrent data scraping
  • Low-latency data processing pipeline
  • Enterprise-grade data encryption
  • Cross-browser compatibility for visualization components
  • 99.9% system uptime SLA

Expected Business Impact

Enables SMBs to make data-driven marketing decisions through competitive intelligence, with potential for 300% YoY growth in user base post-MVP validation. Provides automated pricing optimization capabilities and market trend forecasting, creating opportunities for enterprise-level expansion.

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