In today’s world led by Artificial Intelligence (AI) and Machine learning (ML), businesses are reaping the benefits from utilizing these technologies. Historical data together with external reference data becomes the backbone for AI & ML. Businesses make proactive decisions basis the predictive data analytics available with AI & ML.
Businesses using Dynamics 365 Business Central can take their first steps towards AI utilizing the standard features of Late payment prediction or Sales and Inventory forecasts. At the helm of these features are the Predictive models developed in Azure Machine Learning Platform.
Taking the next leap from the out of the box features available, we have created a Custom Predictive model – enabling any business who delivers products to its customers, leverage the power of AI & ML. The historical data residing in D365 Business Central is the base with Power BI used to visualize and consume the outcome.
The outcome of this custom model is predicting delivery/shipment delays across the regions a business delivers to. This enables quicker decisions for improving business efficiencies around Supply chain management and Logistics.
The outcome is available to consume in the D365 Business Central dashboard itself.
The expanded view follows:
The backend custom model in Azure Machine learning platform is appended below:
The custom screens in D365 Business Central are appended below:
Businesses can utilize Predictive models as the base to create any custom solutions, bringing significant business gains.
I want to know if the AI feature uses machine learning support D365 Business Central in on-cloud or on-premise? Could you help me out? Thank you.Feb 18, 2020 05:48 am
As you described in the blog that many businesses using Dynamics 365 Business Central which take their first steps towards AI utilizing the standard features of Late payment prediction or Sales and Inventory forecasts so what are the various issues that come across while implementing this.Feb 18, 2020 05:47 am