Unified E-commerce Management Platform

Powerful cloud-based platform built to unify and automate operations for high-volume e-commerce retailers. From inventory and order management to multi-channel product listings and real-time analytics, Jazva offers an all-in-one solution that reduces operational overhead while boosting visibility and control.

Through our long-term collaboration, we worked closely with the team to enhance their platform’s scalability, automation capabilities, and integrations with leading e-commerce marketplaces.

It sought to refine its already extensive ecosystem to better meet the needs of its growing customer base.

The platform had to:

• Handle multi-channel sales and listings with real-time synchronization.
  
  
• Improve inventory accuracy across multiple warehouses and platforms.
  
  
• Simplify order fulfillment and logistics processes.
  
  
• Eliminate manual, repetitive tasks through intelligent automation.
  
  
• Offer actionable insights through dynamic reports and dashboards.
  
  

These challenges required an experienced partner to help scale the system architecture and introduce product-wide improvements without disrupting ongoing services.

To solve the challenges faced by and ensure a future-proof platform, we designed and implemented a scalable, modular architecture while introducing several performance, usability, and automation enhancements:

‍

1. Backend System Overhaul & Scalability Improvements

We restructured several backend services to better support multi-threaded operations and handle thousands of concurrent users and transactions.

• Introduced a microservices-inspired modular design within the monolithic structure to allow independent scaling of core modules such as inventory, order routing, and shipping.
  
  
• Leveraged cloud-native technologies to improve performance and uptime.
  
  

2. Multi-Channel & Marketplace Integrations

We expanded and optimized integrations with key marketplaces including Amazon, eBay, Walmart, and Shopify:

• Developed robust APIs for seamless bidirectional data exchange (inventory, orders, pricing, returns).
  
• Added support for customized templates and automation rules per channel.
• Ensured real-time data synchronization with fallback mechanisms in case of API outages.

3. Inventory Intelligence & Multi-Warehouse Support

To tackle inventory complexity across regions and warehouses, we:

• Built advanced inventory tracking features for real-time stock visibility.
  
  
• Implemented smart allocation logic for fulfilling orders from the most optimal warehouse.
  
  
• Introduced forecasting models to support seasonal planning and demand surges.
  
  

4. Streamlined Order Management & Fulfillment

We engineered a centralized order processing system:

• Aggregated orders from all channels into a single dashboard.
  
  
• Integrated with major shipping carriers (FedEx, UPS, USPS) to generate shipping labels and tracking automatically.
  
  
• Developed custom workflows for returns, backorders, and pre-orders.
  
  

5. Automation Engine & Workflow Rules

We significantly reduced manual intervention by building an automation engine:

• Business users could set conditional rules for auto-repricing, order splitting, inventory alerts, and more.
  
  
• Introduced scheduled jobs for batch listing updates, low-stock notifications, and order sync.
  
  
• Ensured high fault tolerance and traceability with detailed automation logs.
  
  

6. Advanced Reporting & Business Intelligence

We introduced a fully customizable reporting engine:

• Dashboards for tracking sales performance, inventory turnover, shipping costs, and channel ROI.
  
  
• User-defined filters and export options (CSV, Excel, PDF).
  
  
• Built-in anomaly detection to highlight underperforming SKUs and pricing gaps.
  
  

7. User Experience Enhancements & Admin Interface

While is a feature-rich platform, we worked on simplifying the UI:

• Refined navigation flows to reduce the number of steps for routine actions.
  
  
• Developed new dashboards and widgets based on user behavior data.
  
  
• Improved performance on large data views with server-side pagination and caching.
  
  

‍