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Development of a Unified Analytics and Data Integration Platform for ECommerce Retail Operations
  1. case
  2. Development of a Unified Analytics and Data Integration Platform for ECommerce Retail Operations

Development of a Unified Analytics and Data Integration Platform for ECommerce Retail Operations

simform.com
Retail
eCommerce
Advertising & marketing

Challenges in Data Management and Reporting for Multi-Brand Retail Operations

As the company's portfolio of online brands expanded, data pipelines across various platforms (such as online marketplaces, social media, and advertising channels) became increasingly complex to manage. Reporting delays and data integration challenges caused misalignment across marketing, finance, and operations teams, reducing decision accuracy and operational efficiency. Difficulties included handling diverse data formats, schema changes, sync delays, and platform-specific limitations, impeding timely insights and strategic actions.

About the Client

A rapidly growing retail company managing multiple online marketplace brands, requiring consolidated data insights and operational automation to scale effectively.

Goals for Streamlined Data Integration and Enhanced Decision-Making

  • Reduce data integration time across multiple systems by approximately 70%, enabling faster access to consolidated data.
  • Enhance KPI accuracy and reliability through centralized datasets, supporting more precise performance tracking across brands.
  • Improve operational efficiency by automating inventory management processes, including purchase orders, invoicing, and fulfillment workflows.
  • Develop real-time dashboards for monitoring campaign, sales, and inventory data, empowering teams to interpret trends rapidly and take informed actions.
  • Support business growth by ensuring scalable data infrastructure capable of handling increasing data volumes and user demand.

Core Functional Specifications for the Analytics and Data Platform

  • Data Extraction & Integration Workflows: Automated extraction from diverse platforms, resolving schema mismatches, sync issues, and platform-specific API limitations.
  • Structured Data Storage Layers: Organize raw and processed data with role-based access, ensuring scalability and data governance.
  • Data Transformation & Modeling: Build real-time dashboards visualizing key metrics such as sales, campaign performance, and inventory levels across brands.
  • Inventory Process Automation: Enhance internal inventory systems to automate purchase orders, invoicing, and fulfillment processes, synchronized across all sales channels.
  • Role-Based Data Access & Governance: Enable secure, role-specific access to data to support different operational teams.

Technology Stack and Architectural Preferences

Cloud-based scalable data storage solutions
Real-time data processing and dashboarding tools
Modular platform architecture supporting API integrations
Role-based access control frameworks

External System integrations for Data Unification

  • Marketplace platforms (e.g., online sales channels)
  • Advertising and social media platforms
  • Inventory management systems
  • Financial and invoicing systems

Operational and Performance Expectations

  • Scalability to accommodate increasing data volume and user load
  • Data processing latency within real-time dashboards
  • High data accuracy and integrity across integrated sources
  • Secure data handling with role-based access controls

Projected Business Benefits of the Data Platform

The implementation of a unified data integration and analytics platform is expected to significantly reduce data processing and reporting time by approximately 70%, increase the accuracy and reliability of performance metrics, and improve operational efficiency through process automation. These enhancements will enable faster, data-driven decision-making that supports scalable growth and improves overall business performance.

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