It gives you the ability to easily manage and communicate orders across all channels, bringing omnichannel capability from order intake and orchestration through fulfillment to the cloud.
Consumers increasingly expect seamless omnichannel buying and delivery experiences with multiple fast delivery options. Rather than ignore this challenge, many companies have adopted solutions that centralize the management of their customers’ orders from the point at which they place an order to delivery. As a result of Dynamic 365 Intelligent Order Management, organizations are able to adapt quickly and meet future order and fulfillment complexities while supporting contemporary methods such as buying online or from an app for in-store pickup.
Business professionals can get real-time visibility of cross-channel inventory with Intelligent Order Management, as well as advanced analytical capabilities for better decision-making. With AI-driven order insights, companies can streamline order fulfillment processes with intuitive drag-and-drop tools and overcome bottlenecks proactively, in order to provide their customers with the service they expect on time and as cost-effectively as possible.
A screenshot of Microsoft Dynamics 365 Intelligent Order Management, a single solution that performs rules-based order orchestration leveraging real-time Inventory and AI.
Order fulfillment becomes a competitive advantage
According to Statista, the same-day-delivery market in the United States reached $5.87 billion in 2019. By 2024, this market will reach 15.6 billion dollars. A popular same-day service is available in U.S. e-commerce.
This rise in same-day delivery demand provides businesses with the opportunity to improve their order management capabilities. By automating the process of managing orders, Intelligent Order Management provides businesses with the ability to meet these growing needs of digital commerce By using real-time omnichannel inventory data and machine learning, we can optimize fulfillment.
In this webinar, you will discover how you can turn order fulfillment into a competitive advantage.
Configurable, not coded
According to Gartner®, “by 2023, 50 percent of medium to large enterprise will have adopted a low code application program (LCAP) as one of their strategic application platforms.”² In responding to the trend toward low-code/no-code (LC/NC) applications, our solution is designed to be configured, not coded, making it a more modern open platform. Furthermore, it provides an easy-to-use drag-and-drop interface that helps users modify order flows proactively to avoid disruptions. Using these tools, users can quickly deploy and scale with the latest fulfillment methods by leveraging pre-built connectors to various ERP, order intake, fulfillment, and delivery partners from our growing ecosystem.
One of the goals of Intelligent Order Management is enabling order intake from a variety of sources and passing them through the order orchestration and process layers within the application. Intelligent Order Management’s event-driven order orchestration services coordinate the events triggered by various APIs to different system connectors in order to make optimal fulfillment decisions. For the entire order life cycle, these decisions are continuously communicated and tracked across all fulfillment partners and legal entities.
As a result of being built on the Microsoft Power Platform, Intelligent Order Management was also designed to be integrated with other legacy systems in your business, enabling us to provide the low code-no code environment users need to respond quickly and intelligently to constraints and disruptions in the supply chain
Using a rules-based system with effective exception handling, Dynamic 365 Intelligent Order Management allows companies to intelligently orchestrate fulfillment and automate order flows. We also enable business users with real-time visibility into inventory and order flows, and, more importantly, the ability to quickly adjust and change any order path. Using machine learning, Intelligent Order Management can learn how business users react to exceptions and provide better recommendations each time – helping them to achieve optimal stock levels and improve cash flow.