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Automated Price Tracking and BuyBox Monitoring System for E-Commerce Marketplaces
  1. case
  2. Automated Price Tracking and BuyBox Monitoring System for E-Commerce Marketplaces

Automated Price Tracking and BuyBox Monitoring System for E-Commerce Marketplaces

deltologic.com
eCommerce
Business services

Challenge: Inefficient Manual Price Monitoring and BuyBox Tracking in E-Commerce

The client faces difficulties in maintaining up-to-date pricing information and identifying BuyBox winners across multiple products on marketplace platforms, leading to suboptimal pricing decisions, reduced competitiveness, and potential revenue loss. Manual monitoring is time-consuming and prone to inaccuracies, hindering real-time strategic adjustments.

About the Client

A mid-sized online retail company operating on marketplace platforms seeking to optimize competitive pricing strategies.

Project Goals: Enhance Pricing Competitiveness through Automated Data Retrieval

  • Develop a scalable software solution to automatically retrieve and analyze current product prices and BuyBox status on targeted marketplace platforms.
  • Implement periodic data collection for a large volume of product identifiers (ASINs), with adjustable frequency from 1 to 24 hours.
  • Maintain an up-to-date internal database or data store with the lowest prices and BuyBox status to inform dynamic pricing strategies.
  • Enable real-time access to fresh pricing data to support timely business decisions, with a goal to improve operational efficiency and sales performance.
  • Achieve automation that reduces manual effort and increases monitoring accuracy, contributing to sales growth estimated at around 10%.

Core System Functionalities for Automated Marketplace Price and BuyBox Monitoring

  • Automated retrieval of product identifiers (e.g., ASINs) from an editable data source (e.g., cloud-based spreadsheet or database).
  • Periodic data scraping and retrieval of current prices, lowest historical prices over a specified period (e.g., 30 days), and BuyBox winner identification.
  • Configurable frequency of data updates (from 1 hour up to 24 hours) to balance data freshness and system load.
  • Integration with external marketplace APIs for accurate and timely price and BuyBox data.
  • Secure storage of product data, including current and historical prices, with capacity to scale to thousands of items.
  • User interface or dashboard for selecting products, viewing real-time data, and configuring update intervals.

Technological Architecture and Tools for Implementation

Cloud serverless functions (e.g., AWS Lambda or equivalent) for scalable and reliable data retrieval.
TypeScript and Node.js for backend development to ensure robustness and maintainability.
Secure API integrations with marketplace platforms for price and buy box data retrieval.
Cloud-based data storage solutions such as Google Sheets, NoSQL databases, or similar for data management.

Essential External Systems and Data Sources

  • Marketplace API (e.g., Amazon or other relevant platform's API) for accessing pricing and BuyBox information.
  • External data store or spreadsheet API for managing product ASINs and associated data updates.

Performance, Security, and Scalability Requirements

  • System must handle the tracking of at least 500 products with the ability to scale to increased volume as needed.
  • Data refresh cycles configurable from 1 to 24 hours without impacting system performance.
  • Ensure low latency for data retrieval and updates to support real-time decision making.
  • Secure handling of API credentials and sensitive data, compliant with best security practices.

Expected Business Impact of Automated Price and BuyBox Monitoring System

The implementation of this system aims to significantly optimize the client's pricing strategy by providing real-time, accurate marketplace data. Anticipated outcomes include reduced manual monitoring efforts, improved price competitiveness, and an estimated 10% increase in sales due to better-informed pricing decisions and enhanced market responsiveness.

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