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Automated Data Integration and Analytics Platform for E-commerce Business

dataforest.ai

eCommerce

Retail

Challenges in Manual Data Management and Analysis

The business faces significant inefficiencies due to manual data handling across 10+ sales platforms (Amazon, eBay, Walmart, Shopify). Disparate data formats, manual currency conversion, and decentralized storage lead to errors, delayed reporting, and inconsistent business insights that hinder competitive agility.

About the Client

Family-owned e-commerce business specializing in affordable, high-quality bedding products with multi-channel sales operations

Key Objectives for Data Management Modernization

Implement automated daily data ingestion from 10+ global sales channels
Establish centralized BigQuery data warehouse with historical data integration
Achieve real-time currency conversion and data standardization
Develop predictive analytics capabilities for inventory and sales forecasting
Enable self-service business intelligence reporting with 88%+ forecasting accuracy

Core System Functionalities

Scheduled API integrations with Amazon (US/MX/CA/EU), eBay, Walmart, Shopify
Dynamic currency conversion using real-time exchange rates
Data cleaning and normalization workflows
BigQuery schema design for unified reporting
Airflow-managed ETL orchestration
Interactive Power BI/Tableau dashboards
Machine learning models for demand forecasting

Technology Stack Requirements

Python

BigQuery

Google Cloud Platform

Apache Airflow

RESTful APIs

External System Integrations

Amazon Seller Central API
eBay Merchant Data API
Walmart Marketplace API
Shopify Admin API
ClickUp task management
Sellercloud inventory system

System Quality Attributes

99.9% system uptime with GCP redundancy
Daily processing of 450K+ database entries
Role-based access control with SOC 2 compliance
Horizontal scalability for future platform additions
Data encryption in transit and at rest

Expected Business Impact of Automated Data Integration

Implementation will reduce manual data handling by 90%, enabling real-time business performance monitoring, reducing stockouts by 0.9%, and improving operational decision-making through consistent, accurate reporting. The solution will create competitive advantage through predictive capabilities and 360-degree business visibility.