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Improve your decision-making accuracy by integrating intelligent supply chain solutions with Dynamics 365 Supply Chain Management
The manufacturing industry is in a constant state of change because of many factors such as globalization, technology, COVID, customer preference and many others. Today, the most successful companies are those that see change as a certainty in their business. Increasing agility while lowering or maintaining costs is the surest way to protect against the unexpected change that can affect the immediate business as well as in the long term. Cost, quality, and delivery remains the staunch ally of successful manufacturing companies.
This can be achieved with the help of Dynamics 365 Supply Chain Management, a centralized and simplified solution to track, automate and manage your supply chain from end to end. The system coupled with Microsoft tools allows manufacturing companies the ability to make these dramatic change opportunities profitably and affordably.
Microsoft Dynamics 365 Supply Chain Management
Microsoft Dynamics 365 Supply Chain Management Key Highlights
Korcomptenz presented a webinar titled “Supply Chain Management made Resilient with Microsoft Dynamics 365”. The webinar was conducted on April 20, 2022, and the main objectives are as follows
Key challenges facing supply chain
Supply chain faces various challenges such as lack of supply chain visibility, disruptions in supply chain and manufacturing, meeting changing customer expectations and forecast and production schedule accuracy.
In this webinar, Korcomptenz will help you see how Dynamics 365 Supply Chain answers many challenges in the age of continuous digital innovation, while preparing manufacturing industries for tomorrow’s opportunities.
Dynamics Supply Chain Management Progression
Key features of Dynamics 365 Supply Chain management are ML based demand forecasting, supply planning using planning optimization, manufacturing, and warehousing in the cloud and at edge and MES integration.
In this demonstration, we demonstrated Demand forecasting with machine learning followed by Master planning execution using optimized planning and end-to-end production process using third party MES integration in D365 application.
Key Questions that were answered
Q1. Are there any new features in the system which can be enabled if we use Planning optimization as compared to built-in master planning?
Q2. During the demonstration of the ML demand forecasting feature, the testing percentage was discussed briefly – could you expand on what that parameter does or changes?
Q3. Typically, how many different invoice types do you need to teach the system when implementing the AP power apps system?