Advanced Web Scraping Tool for Competitive Market Analysis

Success Stories

Advanced Web Scraping Tool for Competitive Market Analysis

    About the Customer

    The client is a leading e-commerce organization specializing in scientific products, laboratory equipments, and research supplies. Based in the United States, they serve both business and individual customers - ranging from academic institutions, research laboratories, and industrial facilities to individual researchers, students, and science enthusiasts. Their online platform offers thousands of specialized scientific products, making them a significant player in both B2B and B2C scientific supply industry.

    Problem Statement

    Manual competitor analysis was time-consuming and inefficient, making it difficult to respond quickly to market changes. The existing process had several challenges:

    • Traditional manual data collection methods were labor-intensive and prone to errors.

    • Lack of systematic approach to compare products and prices across different seasons.

    • Inability to efficiently track and analyze competitor product features and offerings.

    • No centralized system for storing and analyzing competitive market data.

    • Limited capability to make data-driven decisions for pricing and product strategies.

    Our Solution

    The solution is built on a comprehensive web scraping framework that combines modern technologies for data extraction, processing, and analysis. Key components include:

    • Data Extraction using BeautifulSoup, requests, and Selenium for automated collection of competitor information.

    • Advanced matching logic enhanced by BERT machine learning models for accurate product comparisons and Elastic search for optimized comparison of competitor products.

    • SQL database integration for structured data storage and analysis.

    • Flask-based web interface for user management and task scheduling.

    • LDAP integration for secure authentication and access control.

    The system supports sophisticated business processes including:

    • Seasonal pricing analysis and comparison.

    • Feature-based product matching and analysis.

    • Automated report generation in multiple formats (CSV, Excel).

    • Customizable scheduling for data collection tasks.

    • Comprehensive audit logging and user activity tracking.

    Key integrations include:

    • BERT for natural language processing and Elastic Search for enhanced matching accuracy.

    • SQL Database for centralized data storage.

    • LDAP for enterprise-level security and user management.

    The solution is designed to handle large volumes of data across multiple competitor websites, supporting millions of products and providing real-time analysis capabilities for strategic decision-making.

    Team Structure

    A dedicated team consisting of:

    • Technical Architects

    • Data Scientists

    • Python Developers

    • QA Engineers

    • Business Analysts

    • UI/UX Specialists

    The team operates in a distributed manner, working collaboratively across different locations while maintaining constant communication and coordination.

    Technology Portfolio

    Category
    Technologies

    Scraping and Data Extraction

    Competitor Analysis

    Web Development

    *All Trade Marks belong to the respective owners

    Process Followed

    The development and maintenance follow an Agile methodology including:

    • Sprint planning and backlog management

    • Daily stand-up meetings

    • Regular code reviews

    • Continuous integration and deployment

    • Automated testing and quality assurance

    • Production releases with regression testing

    • Regular maintenance and updates based on user feedback

    The system is continuously monitored and enhanced to ensure optimal performance and accuracy in competitive analysis, enabling the client to maintain their market leadership position through data-driven decision making.

    Benefits of our solution as reported by our client:

    • We have been able to use the data to help assist with the annual pricing process (and eventually quarterly process).

    • We will also look at using the tool to identify any potential assortment gaps given competitor information.

    • Sales has used this to respond to RFPs and help with cross referencing items that aren’t our items.

    • Using it allows the business desk to expand quotes with customers to give us more opportunities to win.

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