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Automated Data Integration and Dashboard System for Marketplace Financial Management
  1. case
  2. Automated Data Integration and Dashboard System for Marketplace Financial Management

Automated Data Integration and Dashboard System for Marketplace Financial Management

deltologic.com
eCommerce
Business services

Addressing Fragmented Data Management in Marketplace Operations

The client faces challenges with having data scattered across multiple sources and manual processes for report collection from various marketplace platforms. This results in time-consuming data aggregation, inconsistent reporting, and delayed actionable insights, hindering financial analysis and strategic decision-making.

About the Client

A mid-sized online marketplace management firm handling multiple seller accounts across platforms such as Amazon, eBay, Shopify, Etsy, and Walmart, aiming to optimize financial insights and operational efficiency.

Goals for a Centralized Data Analytics and Automation System

  • Develop an integrated system that consolidates marketplace data from multiple accounts into a unified platform.
  • Automate data fetching from external sources such as marketplace APIs to reduce manual report downloads.
  • Create a robust dashboard interface for real-time data visualization and analysis.
  • Enhance ease of onboarding new clients through scalable management tools.
  • Improve data accuracy, consistency, and timeliness to support better financial and operational decision-making.
  • Save approximately 90% of time previously spent on manual data collection and report compilation.
  • Establish a secure data storage infrastructure ensuring data integrity and accessibility.

Core Functionalities for Marketplace Data Automation and Visualization

  • A central core server for managing, modifying, and aggregating data utilizing a scalable architecture.
  • An asynchronous data connector utilizing cloud functions (e.g., AWS Lambda) to fetch data from marketplace APIs and external sources.
  • A dedicated data warehouse built on a secure relational database platform (e.g., AWS RDS with PostgreSQL) for reliable data storage.
  • An interactive, user-friendly dashboard interface accessible via web browsers, enabling real-time data visualization and reporting, developed with modern frontend frameworks.
  • Dashboard management tools allowing authorized users to create, update, and synchronize dashboards and data refresh settings efficiently.
  • Reporting modules providing detailed insights into logistics, sales, returns, product listings, and advertising campaign performance.

Technological Stack and Architecture Preferences

NodeJS for backend data management
NextJS and ReactJS for frontend dashboard development
TypeScript for scalable and maintainable code
AWS Lambda for serverless data fetching and processing
DynamoDB for auxiliary data management
AWS RDS with PostgreSQL for data storage

Essential External System Integrations

  • Marketplace APIs (e.g., Amazon SPAPI, Ads API) for retrieving sales, logistics, and advertising data
  • External reporting tools or platforms for data processing and transformation
  • User authentication and authorization systems for secure access to sensitive data

Performance, Security, and Scalability Standards

  • System should support data updates in near real-time, minimizing data latency.
  • Designed to handle data from multiple accounts and sources with scalability for future growth.
  • Secure data transmission and storage following industry best practices.
  • High system availability with minimal downtime and reliable data synchronization.
  • User interface responsive across devices and accessible to non-technical users.

Projected Benefits and Business Value of the Data Automation System

The implementation of this integrated data management solution is expected to significantly reduce manual reporting time by up to 90%, enhance data accuracy, and provide real-time insights crucial for financial and operational decision-making. This will enable more efficient client onboarding, improved marketplace performance monitoring, and enhanced strategic planning, ultimately delivering increased operational efficiency and profitability.

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