Order Flow Tracker (OFT) – Live Order Status Across Factories
Overview
The OFT system was developed to provide real-time updates on the status of orders across factories, enhancing visibility and coordination between factory and logistics teams. This system aims to streamline order management, reduce cycle times, and improve overall operational efficiency.
Challenge
- Limited visibility into live order statuses resulted in delays and inefficiencies in order management.
- Inefficient communication between factories and logistics teams led to misaligned operations and slower response times.
- Disparate systems and manual processes caused errors and delays in order tracking and fulfillment.
- Lack of real-time data integration hindered the ability to make timely decisions and respond to changes in order status.
- Existing tools struggled to handle large volumes of order data, affecting the ability to derive actionable insights.
Solution
- Implemented the OFT system to provide real-time updates for all orders across factories, ensuring timely and accurate order tracking.
- Developed a unified dashboard for factory and logistics teams, enabling seamless communication and coordination.
- Utilized Databricks to enhance real-time order visibility and reporting, providing actionable insights and improving decision-making.
- Deployed containerized applications using Docker and Kubernetes, ensuring scalability and reliability of the OFT system.
- Established automated workflows and notifications to improve communication between departments, ensuring timely responses and consistent order management.
Key Results
Improved Tracking Accuracy
Improved tracking accuracy by 25%, ensuring more reliable and timely order management.
Reduced Order Cycle Time
Reduced order cycle time by 20%, enhancing operational efficiency and customer satisfaction.
Enhanced Coordination
Enhanced inter-departmental coordination, leading to better alignment and faster response times.
Technology
AWS S3
Python
Snowflakes