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Automated Data Aggregation and Dashboard System for Amazon Bookkeeping

deltologic.com

Financial services

eCommerce

Business services

Challenges in Manual Data Aggregation for Amazon Sellers

Manual data collection from multiple Amazon accounts and ad platforms caused significant time delays, potential errors, and lack of centralized analytics capabilities. Team struggled with inefficient workflows due to repetitive report downloads and manual data consolidation.

About the Client

Bookkeeping company specializing in financial analytics for Amazon, eBay, Shopify, Etsy, and Walmart sellers

Automation and Centralization Goals

Automate real-time data collection from Amazon SPAPI and Ads API
Create centralized dashboard for multi-account analytics
Reduce manual processing time by 90%
Enable scalable client onboarding through template-based dashboards
Improve data accuracy and reconciliation capabilities

Core System Functionalities

Amazon SPAPI integration for settlement reports, storage fees, and order data
Amazon Ads API integration for Sponsored Products and Display Ads analytics
Multi-account data aggregation engine
Google Sheets-based dashboard with customizable templates
Dashboard Manager interface for scheduling refreshes and managing client accounts
Asynchronous data processing pipeline with error handling
Security framework for API credentials and data access controls

Technology Stack Requirements

Node.js/TypeScript for backend services

React/Next.js for dashboard interfaces

AWS Lambda for serverless data connectors

PostgreSQL on AWS RDS for data warehouse

DynamoDB for dashboard configuration storage

External System Integrations

Amazon Selling Partner API (SPAPI)
Amazon Marketing Services API (Ads API)
Google Sheets API
AWS Cloud Services (Lambda, RDS, DynamoDB)

System Quality Attributes

High availability with 99.9% uptime SLA
Data processing latency under 15 minutes
Role-based access control (RBAC)
Automated scaling for 50+ concurrent client accounts
End-to-end data encryption (at rest/in transit)

Business Impact of Automation

Expected to reduce monthly data processing time by 90%, enable rapid client onboarding through template dashboards, and provide actionable financial insights via real-time analytics. The system will improve operational efficiency, reduce human error, and create opportunities for value-added services through enhanced data visibility.