Speeding Up Shipping Decisions with a Solution to Improve Medical Supply Logistics
The Challenge
The healthcare company shipped billions of medical supplies annually and faced complex decision-making regarding shipping vendors. With numerous factors like cost, supplier rating, availability, transit time, and vehicle restrictions, the company required thorough reviews and expert insights to make informed vendor selections. This process was time-consuming and demanded deep industry knowledge to ensure optimal decisions.
The Solution
A comprehensive solution was developed within Google Cloud to centralize supply order data and integrate a rules engine for streamlined decision-making. By leveraging Google Cloud, Pivotal Cloud Foundry, Java, Angular, MongoDB, and Kafka, the system was tailored to enhance user experience and improve functionality. This solution enabled the company to efficiently assess shipping vendors based on key factors, such as cost, supplier ratings, and availability. As a result, the company could make faster, more informed decisions, optimizing its shipping operations, reducing costs, and ensuring timely delivery of critical medical supplies.
The Result
Automated Processes: Internal applications streamline supply order process, reducing manual work and enhancing efficiency.
Time-saving Features: End-to-end users benefit from added website features, improving productivity and user experience.
Streamlined Logistics Management: Efficient vendor selection, reducing costs and transit times through data-driven decision-making.
Optimized Resource Utilization: Integration and automation reduce time spent on logistics management, improving overall operational efficiency.
Speeding Up Shipping Decisions with a Solution to Improve Medical Supply Logistics
The Challenge
The healthcare company shipped billions of medical supplies annually and faced complex decision-making regarding shipping vendors. With numerous factors like cost, supplier rating, availability, transit time, and vehicle restrictions, the company required thorough reviews and expert insights to make informed vendor selections. This process was time-consuming and demanded deep industry knowledge to ensure optimal decisions.
The Solution
A comprehensive solution was developed within Google Cloud to centralize supply order data and integrate a rules engine for streamlined decision-making. By leveraging Google Cloud, Pivotal Cloud Foundry, Java, Angular, MongoDB, and Kafka, the system was tailored to enhance user experience and improve functionality. This solution enabled the company to efficiently assess shipping vendors based on key factors, such as cost, supplier ratings, and availability. As a result, the company could make faster, more informed decisions, optimizing its shipping operations, reducing costs, and ensuring timely delivery of critical medical supplies.
The Result
Automated Processes: Internal applications streamline supply order process, reducing manual work and enhancing efficiency.
Time-saving Features: End-to-end users benefit from added website features, improving productivity and user experience.
Streamlined Logistics Management: Efficient vendor selection, reducing costs and transit times through data-driven decision-making.
Optimized Resource Utilization: Integration and automation reduce time spent on logistics management, improving overall operational efficiency.
