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BazaarIntel

BazaarIntel is a data engineering–driven AI analytics platform designed to deliver scalable e-commerce insights for Pakistani fashion brands. It builds robust end-to-end data pipelines that automate dynamic web scraping, data integration, semantic SEO analysis, and interactive report generation, leveraging large language models (LLMs) and agentic workflows.[web:42]

BazaarIntel Dashboard

Key Features and Data Engineering Workflow

  • End-to-End Data Pipeline: Automates user goal interpretation, dynamic data extraction, semantic analytics, data storage, and automated reporting using a modular pipeline architecture.
  • Dynamic Web Scraping at Scale: Efficiently scrapes evolving product data from multiple e-commerce platforms using Playwright, with handling of heterogeneous and case-insensitive URLs.
  • Integrated Data Storage: Stores structured product metadata in a relational SQLite database supporting complex querying and analytics.
  • Semantic SEO Analysis: Employs LLM-based keyword extraction and scoring to quantify SEO impact, keyword density, content quality, and uniqueness, with results cached for performant reuse.
  • Interactive Real-Time Dashboard: Presents product-level analytics, brand comparisons, and trend visualizations driven by up-to-date data warehouses.
  • Automated Report Generation: Utilizes LLM-powered generation and querying capabilities to produce comprehensive, data-driven business intelligence reports.

Architecture and Pipeline Stages

  1. Agentic Orchestration Layer (LangGraph + LLaMA 4)

    • Orchestrates workflow from user input to scraping commands, SEO analysis, and data persistence with feedback loops for pipeline automation.
  2. Data Collection and Integration

    • Uses Playwright for browser-based scraping, handling multiple base URLs with robust matching rules.
    • Extracted data is parsed and structured with BeautifulSoup before ingestion in SQLite.
  3. Semantic Analytics Layer

    • Performs LLM inference to extract high-value SEO features using Groq API powered LLaMA 4.
    • Calculates quantitative SEO metrics, facilitating downstream analytics.
  4. API and Query Interfaces

    • Provides RESTful endpoints to trigger scraping, generate SEO keywords, fetch analytics, generate reports, and support agentic SQL+LLM queries.

Technologies

  • Groq API for LLaMA 4 LLM inference enabling semantic analysis and report generation.
  • Playwright for dynamic, scalable browser automation and scraping of rich e-commerce sites.
  • BeautifulSoup for efficient HTML parsing and data extraction.
  • SQLite for lightweight, relational data storage supporting project-specific schema.
  • FastAPI for high-performance API serving and real-time dashboard endpoints.

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AI-powered e-commerce analytics platform for Pakistani fashion brands

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