FedEx and Microsoft have announced the launch of a new "logistics as a service" cross-platform for brands, merchants, and retailers. The new solution, which merges Microsoft Dynamics 365 technology with Fedex's network intelligence, arrives as part of the two companies' multiyear collaboration deal. A deal that takes aim at revolutionizing commerce, supply chains, and logistics.
With the new solution, retailers will be able to offer consumers a more integrated way to shop while promising them faster and more efficient deliveries. A comprehensive tool, the new solution is said to leverage real-time analytics to help these brands optimize their delivery systems.
"We’re bringing data and insights from the FedEx network together with the Microsoft Cloud, starting with Dynamics 365, to help organizations accelerate their digital transformation across their business operations so they can offer customers more integrated ways to shop, and faster, more efficient deliveries," said Satya Nadella, chairman and CEO, Microsoft.
IoT-Based Delivery Platforms
FedEx and Microsoft's New Tool Can Help Retailers Optimize Deliveries
Trend Themes
1. Iot-based Delivery Optimization - Improving efficiency in retail's end-to-end delivery chain with IoT-based delivery optimization tools.
2. Real-time Analytics for Delivery Systems - Enhancing deliveries by leveraging real-time analytics to optimize delivery systems.
3. Logistics as a Service (laas) - The concept of Logistics as a Service (LaaS) taking off as retailers turn towards third-party logistics providers to optimize their delivery systems.
Industry Implications
1. E-commerce - E-commerce companies can enhance delivery efficiency and customer satisfaction by exploring IoT-based Delivery Optimization tools.
2. Logistics - Logistics companies can explore providing LaaS to retail and e-commerce companies in order to streamline and optimize their delivery systems.
3. Supply Chain Management - Supply Chain Management companies can enhance their efficiency by harnessing the power of Real-time Analytics for Delivery Systems.