Posts

D365 F&O: Migrating Integration Models with the Enhanced Data Model Utility

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Power Automate and Power Apps with D365 F&O · 8 min read TL;DR: The Enhanced Data Model Migration Utility is now GA, enabling D365 F&O architects to automate the deployment of complex portal templates and integration metadata using the Power Platform CLI. D365 F&O Power Platform Dataverse Integration Architecture When you expose Dynamics 365 Finance & Operations data to external stakeholders via Power Pages or custom Dataverse-backed applications, the complexity of migrating configuration metadata often outweighs the effort of building the integration itself. Manual exports of portal configurations or brittle solution imports frequently lead to environment drift, where virtual entity mappings and portal templates fall out of sync between Sandbox and Production. The General Availability of the Enhanced Data Model Migration Utility solves this by providing a robust, CLI-driven mechanism to move these sophisticated data models without losing the relational integrity of ...

D365 Finance: Autonomous Copilot Agents for Reconciliation

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Copilot and AI in D365 F&O · 12 min read TL;DR: Combine Dynamics 365 Finance business events, Copilot Studio autonomous agents, and Dataverse virtual entities to automatically remediate bank reconciliation exceptions and invoice matching variances within governed financial thresholds. D365 F&O Finance Copilot & AI Automation Architecture Financial month-end close frequently stalls when accounting teams spend hours manually resolving bank fee differences, currency conversion penny variances, and three-way matching discrepancies. By pairing Dynamics 365 Finance with autonomous agents built in Microsoft Copilot Studio and orchestrated alongside human analysts via Teams-based human-in-the-loop workflows, you can transform rigid error logs into proactive, self-healing financial workflows. This guide covers how to design, configure, and govern an autonomous exception-handling architecture that reconciles ledger variances, posts micro-adjustments within strict policies, an...

D365 SCM Demand Planning GA: Croston's & Best Fit Models

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New features, release waves and version/service updates · 12 min read TL;DR: Demand Planning in Dynamics 365 Supply Chain Management now includes General Availability support for Croston's method within the Best fit model - version 3 algorithm, providing reliable replenishment forecasts for intermittent and slow-moving spare parts. Supply Chain Architecture Release Updates Dataverse Standard forecasting algorithms create erratic safety stock spikes when applied to slow-moving or intermittent spare parts inventory where zero-demand periods dominate the historical ledger. With the General Availability of Croston's method inside the Best fit model - version 3 forecasting algorithm in Dynamics 365 Supply Chain Management Demand Planning, solution architects can reliably forecast lumpy, sporadic demand patterns without artificial volatility. This guide covers how the underlying cloud microservice evaluates intermittent profiles, how to configure the calculation models, and how to ...