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Integration Hub Platform Engineering for Global Retail Supply Chain

About the Client

The client is a global retail and supply chain technology company managing complex operations across multiple regions, suppliers, and distribution networks. Disparate systems for orders, inventory, and shipments created data silos, limiting real-time visibility and operational efficiency. To address these challenges and enable a unified data ecosystem, the organization partnered with Zymr.

Key Outcomes

34% Reduction in Stockouts Achieved
Reporting Latency Reduced from 24 Hours to Under 3 Minutes

Business Challenges

The client operated across multiple legacy and modern systems, each handling critical supply chain functions such as order management, inventory tracking, shipment processing, and supplier coordination. However, the lack of a centralized integration layer resulted in fragmented data and delayed insights.

Data synchronization across systems was batch-driven, leading to outdated inventory visibility and frequent stock imbalances. This often caused stockouts, overstocking, and inefficiencies in replenishment planning.

Operational teams lacked real-time insights into supply chain performance, making it difficult to respond to disruptions, demand fluctuations, or supplier delays. Reporting processes were slow and resource-intensive, with data latency extending up to 24 hours.

The company required a scalable, real-time data platform that could unify data streams, enable faster decision-making, and support high-volume event processing across global operations.

Business Impacts / Key Results Achieved

Zymr engineered a cloud-native integration hub that unified data across the supply chain ecosystem, enabling real-time visibility, faster analytics, and improved operational efficiency.

  • 34% Reduction in Stockouts
  • 800 Million+ Events Processed Per Month
  • 99.97% Platform Uptime Achieved
  • Reporting Latency Reduced to Under 3 Minutes
  • Improved Inventory Accuracy and Demand Responsiveness

Strategy and Solutions

Zymr designed and implemented a scalable, cloud-native ETL and streaming platform to unify and process high-volume supply chain data in real time.

  • Cloud-Native Integration Hub
    Built a centralized platform to ingest and unify data from order, inventory, shipment, and supplier systems.
  • Real-Time Data Streaming with Kafka
    Enabled high-throughput event streaming to process millions of supply chain events in real time.
  • Scalable Data Processing with Spark
    Implemented distributed data processing pipelines to transform and enrich streaming data efficiently.
  • Snowflake Data Platform Integration
    Leveraged Snowflake for scalable storage, analytics, and near real-time reporting capabilities.
  • Inventory Visibility & Analytics
    Delivered real-time dashboards and insights to improve inventory tracking, forecasting, and decision-making.
  • High Availability & Performance Engineering
    Designed the platform for reliability and scalability, ensuring consistent performance with near-zero downtime.
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