Development of an Automated Data Collection and Dynamic Pricing Plugin for eCommerce Platforms

The client faces difficulties in acquiring timely and accurate product data for pricing analysis, leading to suboptimal pricing strategies. Manual data collection is inefficient, prone to errors, and hampers the ability to adapt quickly to market changes. Additionally, the lack of integrated communication channels limits direct engagement with clients for feedback and lead generation.

A mid-sized online retail company looking to enhance pricing strategies through automated data analysis and dynamic price adjustments

• Develop a plugin that automates the gathering of product data from eCommerce websites to facilitate real-time analysis.
• Enable automatic price adjustments based on collected data to optimize revenue and competitiveness.
• Implement a reporting system to generate analytical reports from collected data for strategic decision-making.
• Integrate a contact or inquiry form to enable direct communication with potential clients and enhance lead acquisition.
• Ensure the solution supports multilingual functionality to cater to diverse user regions.
• Design the system to impact minimal performance overhead during data processing and price updates.

• Verification of product ID names and attributes to ensure accurate data collection
• Automated gathering and forwarding of product data to a centralized report system
• Generation of comprehensive reports with product listings for analysis
• Integration of a direct contact form for user-client communication
• Support for multiple languages (e.g., Polish and English) to cater to diverse markets
• Implementation of automated price change rules based on data insights
• Ensuring minimal impact on website performance during data operations

• External analytics or pricing tools for dynamic pricing application
• Reporting services for report generation
• Communication modules for contact form functionality

• Plugin must operate with minimal impact on website load times and overall performance
• Secure handling of user data and communication channels
• Scalable architecture to support growing data volumes and user base
• High availability and reliability for continuous data collection and pricing updates

The implementation of this system is expected to significantly improve data acquisition efficiency and accuracy, enabling timely and data-driven pricing decisions. It aims to increase analytical reporting capabilities, enhance client communication, and support lead generation, ultimately leading to optimized revenue, better market competitiveness, and stronger customer engagement.