Machine learning
Machine learning in D365 is the application of statistical algorithms and predictive models within the cloud tier to identify patterns in transactional data, automate decision-making processes, and forecast future operational outcomes like demand volume or cash flow fluctuations.
Decoding machine learning for enterprise
Machine learning is the engine behind intelligent business. Unlike static rules, these models learn from your historical transactional data to identify trends, mitigate risk, and predict outcomes. Whether it is demand forecasting or cash flow analysis, D365 puts advanced analytics into the hands of business users.
Key business applications
- Demand forecasting: Using historical sales trends and external market factors to predict stock requirements, reducing carrying costs within Microsoft Dynamics 365 Supply Chain Management.
- Cash flow forecasting: Analyzing payment patterns from free text invoices to predict future liquidity.
- Customer insights: Scoring leads based on behavioral patterns to prioritize high-value D365 opportunities.
Implementation and governance
ML models require clean, well-governed data. If your data is fragmented, a Dynamics 365 data migration project is the necessary first step to ensure your models are trained on reliable, historical information. For ongoing accuracy, Dynamics 365 AI agents can manage the continuous refinement of these predictive models.
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Who are we?
We're DeliveredSoft, an Microsoft Dynamics 365 Partner based in Europe. With experts in Poland, Denmark and Spain, we build custom solutions using Microsoft Dynamics 365 for clients across a range of industries.