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Development of Advanced Analytics and Fulfillment Optimization Platform for E-commerce Logistics
  1. case
  2. Development of Advanced Analytics and Fulfillment Optimization Platform for E-commerce Logistics

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Development of Advanced Analytics and Fulfillment Optimization Platform for E-commerce Logistics

snotor pro
Logistics
eCommerce

Challenges in Fulfillment Operations and Data-Driven Decision Making

Existing fulfillment infrastructure lacked unified standards across multiple hubs, hindering operational efficiency. Limited analytics capabilities prevented clients from making data-driven decisions to optimize delivery performance, profitability, and customer satisfaction.

About the Client

B2B logistic fulfillment hub specializing in cash-on-delivery (COD) orders for e-commerce businesses

Goals for Fulfillment Platform Enhancement

  • Unify operational standards across three fulfillment hubs
  • Implement advanced analytics for delivery performance tracking
  • Streamline integration with e-commerce platforms (Shopify, WooCommerce)
  • Improve customer experience through real-time fund management and KPI visualization

Core System Functionalities for Fulfillment Optimization

  • Automated nightly data synchronization via cron queues
  • Unified dashboard for order status tracking and revenue analysis
  • Multi-carrier delivery status tracking system
  • Admin-configurable fund calculation and withdrawal system
  • Client-specific KPI dashboard with sales and fulfillment metrics

Technology Stack Requirements

PHP Symfony
Vue 3
PostgreSQL
API Platform
Docker
Vuetify 2.6
Chart.js
Gridstack.js
Pinia

Critical Third-Party Integrations

  • Shopify API
  • WooCommerce PHP API
  • Qapla API (delivery tracking)

System Quality Requirements

  • High availability for multi-hub operations
  • Scalable analytics processing
  • Secure financial transaction handling
  • Real-time data visualization performance

Expected Business Impact of Platform Enhancement

Standardized operations across fulfillment hubs will reduce process variability by 40%. Advanced analytics and KPI visualization are projected to increase client retention by 25% through improved decision-making capabilities and measurable ROI tracking.

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