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Development of an Automated Repricing System for International E-Commerce Sellers
  1. case
  2. Development of an Automated Repricing System for International E-Commerce Sellers

Development of an Automated Repricing System for International E-Commerce Sellers

deltologic.com
eCommerce
Retail
Consumer products & services

Challenges Faced by International E-Commerce Sellers in Competitive Marketplaces

An online seller operating across various regional marketplaces faces difficulty maintaining optimal pricing strategies due to manual price checking and adjustments, regional price variations, and a need for scalable solutions to win the buy box consistently and increase sales efficiency.

About the Client

A medium-sized online retail company operating across multiple international marketplaces, specializing in competitive pricing strategies to maximize sales and buy box acquisition.

Goals for Automating Pricing Strategies to Increase Market Share

  • Automate daily price checking and adjustment processes across multiple regional online marketplaces.
  • Integrate customizable pricing rules to adapt to regional variations and seller strategies.
  • Enhance real-time pricing adjustments to improve buy box acquisition rates.
  • Scale the system to monitor and manage over 100 product listings efficiently.
  • Reduce manual effort and improve operational efficiency, leading to increased sales and market competitiveness.

Core Functional Requirements for an Automated Repricing Platform

  • Automated daily monitoring and updating of product prices for multiple SKUs.
  • Custom rule engine allowing region-specific and strategy-specific pricing adjustments.
  • Integration with regional marketplace platforms for seamless price updates.
  • Dynamic adjustment logic considering regional postal codes, login states, and competitors’ pricing.
  • Support for managing and tracking over 100 product listings efficiently.
  • Real-time data retrieval and price adjustment capabilities to increase buy box win rate.
  • User interface for managing rules, monitoring system status, and viewing analytics.

Preferred Technical Stack and Architecture for the Repricing System

Cloud-based microservices architecture
Google Sheets integration for rule management
Real-time data APIs
Automated scripting and webhooks

External Systems and Marketplace Integrations Needed

  • Marketplace APIs for price retrieval and updates (e.g., Amazon Marketplace APIs)
  • Google Sheets API for managing pricing rules
  • Regional marketplace systems for region-specific adjustments
  • Authentication systems for secure login and user management

Non-Functional System Attributes for Robust Performance

  • Scalability to support monitoring and repricing of over 100 products across multiple regions.
  • High availability and uptime of 99.9% for continuous monitoring and adjustments.
  • Security protocols to protect sensitive pricing and account information.
  • Fast response times with price updates processed within seconds of data retrieval.
  • Ease of managing rules and system settings via user-friendly interfaces.

Expected Business Impact of the Automated Repricing System

The implemented system aims to significantly improve buy box win rates by up to 30%, leading to increased sales volume, enhanced operational efficiency, and reduced manual workload for the seller. This automation is projected to deliver quick ROI by boosting revenue and competitive positioning across multiple regional marketplaces.

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