Planning Orders Management - Blueyonder
Overview
Healthcare companies depend on efficient planning order management systems to handle market orders, factory coordination, and shipment visibility. To meet these demands, Blue Yonder was selected to streamline operations, improve efficiency, and provide a robust foundation for scalable, data-driven decision-making.
Challenge
- Lack of real-time visibility into shipment statuses caused delays and inefficiencies in the supply chain.
- Disconnected systems across departments led to inconsistent data, making collaboration and decision-making difficult.
- Insufficient integration between market and factory orders hindered the ability to track and manage orders effectively.
- Poor synchronization between logistics, factories, and sales teams resulted in misaligned operations and slower response times.
- Increasing data volumes overwhelmed existing systems, making it difficult to scale operations and derive actionable insights.
Solution
- Integrated market and factory orders into a centralized Blue Yonder dashboard, providing comprehensive visibility and streamlined control across all operations.
- Utilized Databricks and Azure for live updates and predictive analytics, significantly reducing delays and enhancing order fulfillment accuracy.
- Established event-driven architecture to enable real-time data sharing and communication between logistics, factories, and sales teams, fostering greater efficiency and coordination.
- Built a secure, scalable infrastructure on Azure, enhanced with machine learning for accurate forecasting, proactive delay mitigation, and data-driven decision-making.
- Deployed Medallion Architecture (Bronze, Silver, Gold layers) using Databricks and Delta Lake to process raw data into actionable insights, enabling real-time monitoring, seamless collaboration, and advanced analytics.
Key Results
Error Reduction
Reduced order fulfillment errors by 25%.
Improved Tracking
Improved shipment tracking, cutting delays by 30%.
Enhanced Decision-Making
Enhanced decision-making capabilities through centralized data.
Technology
Blue Yonder
Databricks
Azure
Python
SQL
Azure Datalake